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• Self-learning and Simulation in the 21st Century: From Textbooks to ChatGPT.
  The growth of the digital age has corresponded with decreased operative experience and concern for low readiness for practice among surgical trainees, allowing for rapidly advancing technology to attempt to fill this educational need, often through independent…
  pubmed Hoagland DL, Abelson J 2026 Jul 置信度 0.82
• Transdisciplinary fetal-neonatal neurology training integrates women's and children's health with life-course brain capital strategies: a narrative review.
  Neurological and mental health disorders affect over one-third of the global population. Healthcare systems continue to treat maternal brain health and neurodevelopment as separate domains. Critical intervention windows continue to be missed before and during …
  pubmed Scher MS, Adalat S, Eyre H, Msall ME 等 2026 置信度 0.82
• The integration of psychosocial care, ethical governance, and patient-centered research in current and future approaches in the field of vascularized composite allotransplantation.
  Vascularized composite allotransplantation (VCA) has transitioned from an experimental endeavor to a clinically viable option for patients with complex tissue loss. While advances in microsurgery, immunosuppression, and perioperative care have improved graft s…
  pubmed Kumnig M, Hopfgartner L, Brandacher G 2026 置信度 0.82
• Research advances of tubeless thoracic surgery for pulmonary nodules: current status and future challenges.
  This narrative review aims to summarize the current research progress on Tubeless thoracic surgery for pulmonary nodules, analyze its physiological basis and clinical applications, and outline future directions.
  pubmed Li H, Zhao L, Tian H 2026 置信度 0.82
• Redesigning trauma-focused interventions to address capacity challenges in mental health systems.
  Despite strong evidence supporting the use of trauma-focused evidence-based psychotherapies (EBPs) to treat posttraumatic stress disorder (PTSD), health care systems experience meaningful challenges in delivering these treatments at scale. With a focus on two …
  pubmed McLean CP, Holder N, Holliday R, Rosen CS 2026 Jun 9 置信度 0.82
• AquaAI: development and internal validation of a Danish transformer-based model to identify drowning and aquatic incidents in prehospital medical records.
  Effective prevention of drowning and aquatic incidents requires timely and accurate surveillance supported by high-quality validated data. In Denmark, the use of the free-text fields in the Danish Prehospital Medical Record has proven effective in identifying …
  pubmed Ostenfeldt CK, Breindahl N, Graff C, Kragholm KH 等 2026 Jun 9 置信度 0.82
• Building a predictive model for nursing students' use of artificial intelligence: advancing technology acceptance and application in nursing education.
  With the rapid development of artificial intelligence (AI) technology, its application across various industries, particularly in healthcare and nursing, has been expanding. However, the factors influencing nursing students' acceptance and use of AI tools have…
  pubmed Zhang H, Hu Q, Yu S, Shi H 等 2026 Jun 9 置信度 0.82
• Tumor organoids as a revolutionary platform for advancing cancer nanomedicine.
  Nanomedicine has revolutionized oncology through targeted drug delivery and theranostic applications. However, its clinical translation remains a formidable challenge, primarily due to the translational gap created by conventional preclinical models. These mod…
  pubmed Wu C, Chen J, Zhang C, Ji J 等 2026 Jun 9 置信度 0.82
• Time-dependent risk of sleep disorders in patients with epilepsy: a nationwide cohort study.
  Sleep disturbances are common yet underrecognized comorbidities in epilepsy, adversely affecting seizure control and quality of life. This study aimed to evaluate the long-term risk and risk factors of sleep disorders among patients with newly diagnosed epilep…
  pubmed Lee SW, Kang C, Choi U, Jung H 等 2026 Jun 10 置信度 0.82
• Artificial intelligence in pediatric intensive care units: current applications in sepsis management.
  Early detection of sepsis in pediatric intensive care units (PICUs) is critical, but challenging due to its nonspecific clinical presentation and marked physiological heterogeneity. Artificial intelligence (AI) offers transformative potential for precision sep…
  pubmed Fu S, Li F, Qian SY 2026 May 置信度 0.82
• Future of Robotics and Integration of Artificial Intelligence: Toward Computer-Assisted Surgery and the Real Democratization of Surgical Care.
  Minimally invasive surgery has evolved from a disruptive concept to a cornerstone of modern surgical oncology. The integration of imaging, robotics and artificial intelligence (AI) has transformed surgical care into a highly data-driven, precise and standardiz…
  pubmed Giménez ME, Innocenzi C, Schulze FE, Forgione A 等 2026 Jul 置信度 0.82
• Pancreatic Neuroendocrine Neoplasms.
  Pancreatic neuroendocrine neoplasms are heterogeneous tumors whose incidence has risen with advances in, and increased use of, cross sectional and endoscopic imaging. They range from well differentiated, often indolent neuroendocrine tumors to aggressive neuro…
  pubmed Panda A, Itani M, Mhlanga J, Singh C 等 2026 Jun 8 置信度 0.82
• Ethical implications of the use of artificial intelligence in peer review.
  pubmed Nukaly H, Barnawi G, Grant-Kels JM, Elston DM 等 2026 Jun 8 置信度 0.82
• A scoping review on aging and cardiovascular diseases - Molecular mediators and artificial intelligence-based advanced diagnostic methods.
  Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, and their risk increases with age. Biological age reflects physiological decline more accurately than chronological age and may improve cardiovascular risk prediction. Recent advan…
  pubmed Sudoso AM, Ciarpaglini L, Scuppa D, Trasatti E 等 2026 Oct 1 置信度 0.82
• Targeting colorectal cancer stem-like cells: Overcoming therapeutic resistance and reprogramming the immunosuppressive niche.
  Colorectal cancer stem-like cells (CRC-SCs) represent a tumor subpopulation with enhanced tumor-initiating capacity and have been implicated in metastasis, therapeutic resistance, and disease relapse. These cells not only possess intrinsic resistance mechanism…
  pubmed Hamid M, Siddig AMA, Suliman R, Saeed A 等 2026 Sep 28 置信度 0.82
• Artificial intelligence in 3D bioprinting and biofabrication: a validation-stringency assessment.
  Three-dimensional bioprinting and biofabrication increasingly use artificial intelligence (AI) and machine learning (ML) for bioink formulation, printability assessment, process monitoring, and post-print maturation. However, most studies train and test their …
  pubmed Lee JS, Cha JH, Kim BS 2026 Jul 1 置信度 0.82
• Global advances in health artificial intelligence: a workforce imperative.
  The global health workforce is approaching a breaking point, driven by administrative overload, inefficient workflows, burnout, and accelerating retirements, with a projected global shortfall of 11 million health professionals by 2030. This urgency coincides w…
  pubmed Dai T, McDonald KM, Baumgart DC 2026 Aug 8 置信度 0.82
• Vitabel: A Python Framework for Visualizing and Labelling High-Resolution Physiological Data for Critical Care Machine Learning.
  Artificial intelligence offers great opportunities in critical care, particularly when a vast amount of continuously acquired physiological data is incorporated. High-quality, reliably labelled data are paramount for developing and training artificial intellig…
  pubmed Orlob S, Kern WJ, Hackl B, Wnent J 等 2026 Jun 9 置信度 0.82
• Underrecognized depressive and anxiety symptoms in inflammatory arthritis: implications for systematic screening using PHQ-9 and GAD-7.
  Depression and anxiety are common comorbidities in patients with inflammatory arthritis (IA), including rheumatoid arthritis (RA), axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA). Despite their clinical relevance and impact on disease outcomes, t…
  pubmed Kolasińska M, Wilk M, Polak D, Siwek M 等 2026 Jun 9 置信度 0.82
• The interconnection between obstructive sleep apnoea and spondyloarthritis: pathophysiology, clinical evidence, and future perspectives.
  Obstructive sleep apnoea (OSA) and spondyloarthritis (SpA) are chronic inflammatory disorders associated with substantial cardiometabolic morbidity and impaired quality of life. Increasing evidence suggests that these conditions frequently coexist and may shar…
  pubmed Belančić A, Rogoznica Pavlović M, Fajkić A, Vučković M 等 2026 Jun 9 置信度 0.82
• Enhancing spinal mobility and functional capacity through aerobic exercise and yoga in ankylosing spondylitis: a randomized controlled trial.
  Objective This study aimed to investigate the effects of yoga-based exercises, combined with aerobic exercises, on spinal mobility, disease activity and functional capacity in Ankylosing spondylitis (AS). Methods A total of 51 patients with AS (27 males, 24 fe…
  pubmed Önal R, Ordu Gökkaya NK, Dizdar D, Korkmaz S 等 2026 Jun 9 置信度 0.82
• Advancing One Health genomics in Africa: opportunities and challenges for outbreak and antimicrobial resistance control.
  SUMMARYAfrica's ongoing struggles with emerging epidemics and antimicrobial resistance (AMR) underscore the urgency of integrating pathogen genomics and surveillance systems into the continent's One Health strategy, particularly given the existing limitations …
  pubmed Derar DI, Hany F, Eltaher H, Mahmoud S 等 2026 Jun 9 置信度 0.82
• Harnessing Deep Learning Models for Guide RNA Optimization and Off-Target Prediction in CRISPR Systems.
  CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based genome and transcriptome editing technologies have emerged as powerful tools for therapeutic, agricultural, and industrial applications. However, their broader clinical and translational …
  pubmed Saeed M, Arham M, Zafar I, Jamal A 等 2026 Jun 置信度 0.82
• Large language models in emergency and critical care medicine: a comprehensive review of applications, challenges, and future directions.
  Emergency and critical care medicine requires the rapid synthesis of heterogeneous clinical data under extreme time constraints. Early artificial intelligence tools lacked the flexibility to manage real-world patient heterogeneity. Large language models (LLMs)…
  pubmed Yang J, Yang S, Shao Z, Chen T 等 2026 置信度 0.82
• Impact of artificial intelligence-based and technology-enhanced educational tools compared to traditional teaching methods on learning outcomes among healthcare professionals and students: a systematic review.
  Artificial intelligence (AI) is rapidly reshaping health profession education through tools such as virtual simulation, adaptive learning platforms, intelligent tutoring systems and ChatGPT-assisted learning. However, its effectiveness compared with traditiona…
  pubmed Amandu Matua G, Shanmugam V, Nattamai Jothilal V, Lovelin Auguskani JP 等 2026 Jun 5 置信度 0.82
• Progress of Traditional Chinese Medicine in Targeting Ferroptosis to Combat Cerebral Ischemia-Reperfusion Injury.
  Cerebral ischemia-reperfusion injury (CIRI) often results in significant morbidity and mortality. The effectiveness of current reperfusion therapies is hindered by substantial secondary damage, which highlights the need for novel molecular targets and neuropro…
  pubmed Li J, Liu A, Gao W, Ye Q 等 2026 置信度 0.82
• Identification, reliability, and validity of drug-drug interaction checkers in chronic diseases: A systematic review.
  Drug-drug interactions (DDIs) pose major risks in chronic disease management where polypharmacy is common. Although digital DDI tools are used widely to aid healthcare professionals, tools rely on theoretical interactions. This limitation questions their relia…
  pubmed Gibson BN, Chodapuneedi S, Koh HY, Gupta S 等 2026 Aug 置信度 0.82
• Can artificial intelligence change the face of orthopaedic surgery? Current and future concepts.
  Orthopaedic surgery has evolved remarkably into a highly specialised and advanced medical field. The discipline has seen substantial improvements in surgical techniques and the development of subspecialties. Outcomes can vary widely, with some procedures not y…
  pubmed Mustafa M, Ahmed N, Ain NU, Najjad KR 等 2026 May 置信度 0.82
• Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement.
  Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence-based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adopt…
  pubmed Ridings LE, Held P, Kuhn E, Wiltsey-Stirman S 2026 Jun 8 置信度 0.82
• Noninvasive Detection of Coronary Microvascular Dysfunction.
  Coronary Microvascular Dysfunction (CMVD) can lead to myocardial ischemia and increase the risk of adverse cardiovascular events. In clinical practice, early and accurate diagnosis of CMVD is essential for effective intervention and management. However, becaus…
  pubmed Li L, Tse G, Bazoukis G, Rajan R 等 2026 Jun 5 置信度 0.82
• Mutually Reinforcing Polyphenol and Nanomedicines: Unlocking the Potential of Polyphenol-Based Nanodrugs for Liver Injury Therapy.
  The liver performs around a thousand essential functions, including metabolism, detoxification, and immune regulation. However, its constant exposure to harmful substances, such as alcohol, drugs, and toxins, makes it prone to injury. Persistent exposure drive…
  pubmed Liu M, Huang R, Wang S, Lin Y 等 2026 Jul 置信度 0.82
• Electrolyte balance and muscle damage after adolescent binge alcohol use: a retrospective study.
  Binge alcohol drinking is a recognized cause of peripheral muscle damage, leading to increased creatine kinase levels. However, the potential role of electrolyte and osmolality changes in muscle damage remains unclear. This study investigates the prevalence of…
  pubmed Hunjan I, Pistritto E, Corsello A, Bianchetti MG 等 2026 Jun 8 置信度 0.82
• Legal and ethical responsibility for AI-assisted diagnostic and referral errors: a scoping review of comparative approaches with implications for Saudi healthcare.
  Artificial intelligence (AI) systems are increasingly embedded in clinical diagnostics and referral pathways, yet when these tools contribute to patient harm, traditional medico-legal doctrines are strained by algorithmic opacity, automation bias, and distribu…
  pubmed Almutairi AO, Almutairi ASO, Almutairi FSO, Ali M 等 2026 Jun 8 置信度 0.82
• Heat shock protein-mediated remodeling of the bone immune microenvironment: mechanisms and precision therapeutic strategies for osteoporosis.
  Osteoporosis is a systemic bone disorder marked by reduced bone mass and deteriorating bone microstructure, commonly associated with inflammation, oxidative stress, and imbalances in immune homeostasis. Among the key mechanisms underlying Osteoporosis progress…
  pubmed An J, Bai J, Li L, Li X 等 2026 Jun 8 置信度 0.82
• Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy
  openalex Manu Sharma, Sunil Luthra, Sudhanshu Joshi, Anil Kumar 2021-10-01 置信度 0.72 Scope (computer science)WorkforceQuality (philosophy)Big dataEmerging technologies
• Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature
  BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthcare and a global public health concern. Surveillance is the foundation for effective HAIs prevention and control. Manual surveillance is labor intensive, costly …
  openalex Alessandro Scardoni, Federica Balzarini, Carlo Signorelli, Federico Cabitza 等 2020-06-16 置信度 0.72 Systematic reviewStandardizationHealth careMedicineLogistic regression
• Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence–Based Health Technologies: What Healthcare Stakeholders Need to Know
  This review aimed to specify different concepts that are essential to the development of medical devices (MDs) with artificial intelligence (AI) (AI-based MDs) and shed light on how algorithm performance, interpretability, and explainability are key assets. Fi…
  openalex Line Farah, Juliette Murris, Isabelle Borget, Agathe Guilloux 等 2023-04-21 置信度 0.72 InterpretabilityHealth careArtificial intelligenceComputer scienceBusiness
• Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review
  BACKGROUND: In the last decade, there has been a rapid increase in research on the use of artificial intelligence (AI) to improve child and youth participation in daily life activities, which is a key rehabilitation outcome. However, existing reviews place var…
  openalex Vera Kaelin, Mina Valizadeh, Zurisadai Salgado, Natalie Parde 等 2021-11-04 置信度 0.72 International Classification of Functioning, Disability and HealthRehabilitationScope (computer science)Inclusion (mineral)Psychological intervention
• Artificial intelligence in pharmacology research and practice
  In recent years, the use of artificial intelligence (AI) in health care has risen steadily, including a wide range of applications in the field of pharmacology. AI is now used throughout the entire continuum of pharmacology research and clinical practice and f…
  openalex Maaike van der Lee, Jesse J. Swen 2022-10-01 置信度 0.72 Cluster analysisClinical pharmacologyData scienceClinical PracticeArtificial intelligence
• Detecting dental caries on oral photographs using artificial intelligence: A systematic review
  OBJECTIVES: This systematic review aimed at evaluating the performance of artificial intelligence (AI) models in detecting dental caries on oral photographs. METHODS: Methodological characteristics and performance metrics of clinical studies reporting on deep …
  openalex Mohammad Moharrami, Julie Farmer, Sonica Singhal, Erin Watson 等 2023-07-01 置信度 0.72 DentistryArtificial intelligenceMedicineComputer scienceOrthodontics
• An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
  openalex Rex Liu, Albara Ah Ramli, Huanle Zhang, Erik Henricson 等 2022-01-01 置信度 0.72 Computer scienceWearable computerArtificial intelligenceHealth careVariety (cybernetics)
• A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare
  Trustworthy medical AI requires transparency about the development and testing of underlying algorithms to identify biases and communicate potential risks of harm. Abundant guidance exists on how to achieve transparency for medical AI products, but it is uncle…
  openalex Jana Fehr, Brian Citro, Rohit Malpani, Christoph Lippert 等 2024-02-20 置信度 0.72 Transparency (behavior)DocumentationSoftware deploymentVendorTrustworthiness
• The impact of artificial intelligence-driven simulation on the development of non-technical skills in medical education: a systematic review
  PURPOSE: Artificial intelligence (AI)-driven simulation is an emerging approach in healthcare education that enhances learning effectiveness. This review examined its impact on the development of non-technical skills among medical learners. METHODS: Following …
  openalex Sana Loubbairi, Yassmine El Moussaoui, Laila Lahlou, Imad Chakri 等 2025-11-24 置信度 0.72 Outcome (game theory)Computer scienceMedical simulationMedical educationManagement science
• Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons
  Big data has transformed into a trend phrase in healthcare and neurosurgery, becoming a pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a direct consequence of the drastic boom in information technology as well as the…
  openalex Bharath Raju, Fareed Jumah, Omar Ashraf, Vinayak Narayan 等 2020-10-02 置信度 0.72 Big dataPanacea (medicine)Health careData scienceThe Internet
• Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis
  Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep Learning (DL) architectures. In this review article we focus on the ML aspect of AI…
  openalex Κωνσταντίνα Κούρου, Konstantinos Exarchos, Costas Papaloukas, Prodromos Sakaloglou 等 2021-01-01 置信度 0.72 Machine learningArtificial intelligenceComputer scienceClinical PracticeTransparency (behavior)
• Trends and Application of Artificial Intelligence Technology in Orthodontic Diagnosis and Treatment Planning—A Review
  Artificial intelligence (AI) is a new breakthrough in technological advancements based on the concept of simulating human intelligence. These emerging technologies highly influence the diagnostic process in the field of medical sciences, with enhanced accuracy…
  openalex Farraj Albalawi, Khalid Abalkhail 2022-11-21 置信度 0.72 Computer scienceRadiation treatment planningArtificial intelligenceWeb of scienceMedical physics
• Reimagining Medical Education in the Age of AI
  Available medical knowledge exceeds the organizing capacity of the human mind, yet medical education remains based on information acquisition and application. Complicating this information overload crisis among learners is the fact that physicians' skill sets …
  openalex Steven A. Wartman, C. Donald Combs 2019-02-01 置信度 0.72 EmpathyCurriculumKnowledge managementInformation overloadMedical information
• Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare – The Narrative Review
  Background: Artificial Intelligence (AI) holds transformative potential for the healthcare industry, offering innovative solutions for diagnosis, treatment planning, and improving patient outcomes. As AI continues to be integrated into healthcare systems, it p…
  openalex Zifang Shang, Varun Chauhan, Kirti Devi, Sandip Patil 2024-08-01 置信度 0.72 Health careNarrativeData scienceComputer scienceMedicine
• Development and validation of a scale for dependence on artificial intelligence in university students
  Background Artificial Intelligence (AI) has permeated various aspects of daily life, including education, specifically within higher education settings. These AI technologies have transformed pedagogy and learning, enabling a more personalized approach. Howeve…
  openalex Wilter C. Morales-García, Liset Z. Sairitupa-Sanchez, Sandra B. Morales-García, Mardel Morales-García 2024-03-12 置信度 0.72 Scale (ratio)Computer scienceArtificial intelligenceCartographyGeography
• Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
  Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted …
  openalex Enyu Zhou, Qin Shen, Yang Hou 2024-02-23 置信度 0.72 Modernization theoryStandardizationTraditional Chinese medicineQuality (philosophy)China
• News from Generative Artificial Intelligence Is Believed Less
  Artificial Intelligence (AI) can generate text virtually indistinguishable from text written by humans. A key question, then, is whether people believe news headlines generated by AI as much as news headlines generated by humans. AI is viewed as lacking human …
  openalex Chiara Longoni, Andrey Fradkin, Luca Cian, Gordon Pennycook 2022-06-20 置信度 0.72 Transparency (behavior)Generative grammarAccountabilityArtificial intelligenceComputer science
• Evidence, ethics and the promise of artificial intelligence in psychiatry
  Researchers are studying how artificial intelligence (AI) can be used to better detect, prognosticate and subgroup diseases. The idea that AI might advance medicine's understanding of biological categories of psychiatric disorders, as well as provide better tr…
  openalex Melissa D. McCradden, Katrina Hui, Daniel Z. Buchman 2022-12-29 置信度 0.72 HumilityUnintended consequencesAffect (linguistics)PsychologyBig data
• An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
  Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnosis of prostate carcinoma is usually made on prostate core needle biopsies obtained through a transrectal approach. These biopsies may account for a significant …
  openalex Sudhir Perincheri, Angelique Levi, Romulo Celli, Peter Gershkovich 等 2021-03-29 置信度 0.72 MedicineProstate cancerProstateProstate biopsyBiopsy
• Artificial Intelligence in Breast Cancer Screening
  Importance: Contemporary approaches to artificial intelligence (AI) based on deep learning have generated interest in the application of AI to breast cancer screening (BCS). The US Food and Drug Administration (FDA) has approved several next-generation AI prod…
  openalex Kunal C. Potnis, Joseph S. Ross, Sanjay Aneja, Cary P. Gross 等 2022-11-07 置信度 0.72 MedicineFood and drug administrationTriageBreast cancerClearance
• The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer
  openalex Betül İlhan, Pelin Güneri, Petra Wilder‐Smith 2021-03-09 置信度 0.72 MedicineReferralIntensive care medicineCancerPopulation
• Control strategies for active lower extremity prosthetics and orthotics: a review
  : Technological advancements have led to the development of numerous wearable robotic devices for the physical assistance and restoration of human locomotion. While many challenges remain with respect to the mechanical design of such devices, it is at least eq…
  openalex Michael R. Tucker, Jérémy Olivier, Anna Pagel, Hannes Bleuler 等 2015-01-01 置信度 0.72 OrthoticsContext (archaeology)Computer scienceWearable computerControl (management)
• Artificial intelligence in liver ultrasound
  Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. It can be used to diagnose diseases and predict certain statuses and possible events that may happen. Recently, more and more studie…
  openalex Liu-Liu Cao, Peng Mei, Xiang Xie, Gong-Quan Chen 等 2022-07-14 置信度 0.72 MedicineHepatocellular carcinomaUltrasoundLiver fibrosisLiver cancer
• Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature
  Aim . This comprehensive review is aimed at evaluating the diagnostic and prognostic accuracy of artificial intelligence in endodontic dentistry. Introduction . Artificial intelligence (AI) is a relatively new technology that has widespread use in dentistry. T…
  openalex Mohmed Isaqali Karobari, Abdul Habeeb Adil, Syed Nahid Basheer, Sabari Murugesan 等 2023-01-01 置信度 0.72 DentistryOrthodonticsMedicineMedical physics
• Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses
  Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensiti…
  openalex Murugan Ramalingam, Abinaya Jaisankar, Lijia Cheng, Sasirekha Krishnan 等 2023-04-01 置信度 0.72 BiosensorNanotechnologyComputer scienceBiochemical engineeringMaterials science
• Artificial Intelligence in Smart Tourism: A Conceptual Framework
  Smart tourism destination as: an innovative tourist destination, built on an infrastructure of state-of-the-art technology guaranteeing the sustainable development of tourist areas, accessible to everyone, which facilitates the visitor’s interaction with and i…
  openalex Rua‐Huan Tsaih, Chih Chun Hsu 2018-01-01 置信度 0.72 TourismConceptual frameworkComputer scienceArtificial intelligenceSociology
• A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
  COVID-19 is a respiratory disease caused by the SARS-CoV-2 contagion, severely disrupted the healthcare infrastructure. Various countries have developed COVID-19 vaccines that have effectively prevented the severe symptoms caused by the virus to a certain exte…
  openalex Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu 等 2023-05-06 置信度 0.72 Random forestArtificial intelligenceMachine learningComputer scienceNaive Bayes classifier
• Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines
  BACKGROUND: The application of artificial intelligence (AI) in healthcare is an area of immense interest. The high profile of 'AI in health' means that there are unusually strong drivers to accelerate the introduction and implementation of innovative AI interv…
  openalex Hussein Ibrahim, Xiaoxuan Liu, Samantha Cruz Rivera, David Moher 等 2021-01-06 置信度 0.72 Psychological interventionMedicineConsolidated Standards of Reporting TrialsTransparency (behavior)Multidisciplinary approach
• Applications of artificial intelligence (AI) in diagnostic radiology: a technography study
  OBJECTIVES: Why is there a major gap between the promises of AI and its applications in the domain of diagnostic radiology? To answer this question, we systematically review and critically analyze the AI applications in the radiology domain. METHODS: We system…
  openalex Mohammad Hosein Rezazade Mehrizi, Peter M. A. van Ooijen, Milou Homan 2020-09-18 置信度 0.72 NeuroradiologyInterventional radiologyMedicineRadiologyMedical physics
• Artificial Intelligence in Pediatric Emergency Medicine: Applications, Challenges, and Future Perspectives
  The dawn of Artificial intelligence (AI) in healthcare stands as a milestone in medical innovation. Different medical fields are heavily involved, and pediatric emergency medicine is no exception. We conducted a narrative review structured in two parts. The fi…
  openalex Lorenzo Di Sarno, Anya Caroselli, Giovanna Tonin, Benedetta Graglia 等 2024-05-30 置信度 0.72 Context (archaeology)TriageData scienceComputer scienceArtificial intelligence
• An overview and a roadmap for artificial intelligence in hematology and oncology
  BACKGROUND: Artificial intelligence (AI) is influencing our society on many levels and has broad implications for the future practice of hematology and oncology. However, for many medical professionals and researchers, it often remains unclear what AI can and …
  openalex Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, Tim Beißbarth 等 2023-03-15 置信度 0.72 HematologyInternal medicineMedicineOncologyMedical physics
• Spiking Neural Networks and Their Applications: A Review
  The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent increasing ne…
  openalex Kashu Yamazaki, Viet-Khoa Vo-Ho, Darshan Bulsara, Ngan Le 2022-06-30 置信度 0.72 Spiking neural networkComputer scienceArtificial neural networkArtificial intelligenceSpike (software development)
• Second Life: an overview of the potential of 3‐D virtual worlds in medical and health education
  This hybrid review-case study introduces three-dimensional (3-D) virtual worlds and their educational potential to medical/health librarians and educators. Second life (http://secondlife.com/) is perhaps the most popular virtual world platform in use today, wi…
  openalex Maged N. Kamel Boulos, Lee Hetherington, Steve Wheeler 2007-11-14 置信度 0.72 MetaverseVirtual worldResource (disambiguation)Medical educationWorld Wide Web
• Clinical Applications of Artificial Intelligence and Machine Learning in Children with Cleft Lip and Palate—A Systematic Review
  OBJECTIVE: The objective of this systematic review was (a) to explore the current clinical applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis and treatment prediction in children with CLP (Cleft lip and palate), (b) to…
  openalex Mohamed Zahoor Ul Huqh, Johari Yap Abdullah, Ling Shing Wong, Nafij Bin Jamayet 等 2022-08-31 置信度 0.72 Artificial intelligenceOrthodonticsComputer scienceDentistryMedicine
• Application and Performance of Artificial Intelligence Technology in Oral Cancer Diagnosis and Prediction of Prognosis: A Systematic Review
  Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial intelligence (AI) is one of the outstanding innovations in technology used in dental science. This paper intends to report on the application and performance of AI in d…
  openalex Sanjeev B. Khanagar, Sachin Naik, Abdulaziz A. Al Kheraif, Satish Vishwanathaiah 等 2021-05-31 置信度 0.72 Artificial intelligenceScopusLogistic regressionMEDLINEEtiology
• Using AI-generated suggestions from ChatGPT to optimize clinical decision support
  OBJECTIVE: To determine if ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic and to assess noninferiority compared to human-generated suggestions. METHODS: We supplied summaries of CDS logic to ChatGPT, an artificial i…
  openalex Siru Liu, Aileen P. Wright, Barron L. Patterson, Jonathan P. Wanderer 等 2023-04-22 置信度 0.72 Clinical decision support systemComputer scienceDecision support systemArtificial intelligenceData science
• The Role of Leadership in a Digitalized World: A Review
  Digital technology has changed organizations in an irreversible way. Like the movable type printing accelerated the evolution of our history, digitalization is shaping organizations, work environment and processes, creating new challenges leaders have to face.…
  openalex Laura Cortellazzo, Elena Bruni, Rita Zampieri 2019-08-27 置信度 0.72 CLARITYEngineering ethicsPublic relationsDigital transformationFace (sociological concept)
• Applications of artificial intelligence and machine learning in respiratory medicine
  The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI) and machine learning techniques in medicine. This has been driven by the development of deep neural networks (DNNs)-complex networks residing in silico but loosely m…
  openalex Sherif Gonem, Wim Janssens, Nilakash Das, Marko Topalovic 2020-05-14 置信度 0.72 Artificial intelligenceMachine learningChest radiographArtificial neural networkDeep learning
• Artificial intelligence for the detection of vertebral fractures on plain spinal radiography
  Vertebral fractures (VFs) cause serious problems, such as substantial functional loss and a high mortality rate, and a delayed diagnosis may further worsen the prognosis. Plain thoracolumbar radiography (PTLR) is an essential method for the evaluation of VFs. …
  openalex Kazuma Murata, Kenji Endo, Takato Aihara, Hidekazu Suzuki 等 2020-11-18 置信度 0.72 MedicineOrthopedic surgeryRadiographyConfidence intervalConvolutional neural network
• Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
  The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the globe may utilize i…
  openalex Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu 等 2023-08-24 置信度 0.72 PerceptionComputer scienceArtificial intelligencePsychologyNeuroscience
• Artificial Communication
  A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that i…
  openalex Elena Esposito 2022-05-24 置信度 0.72 Computer scienceArtificial intelligenceAnalogysortHuman communication
• Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI)
  OBJECTIVES: Artificial intelligence (AI) is seen as a major disrupting force in the future healthcare system. However, the assessment of the value of AI technologies is still unclear. Therefore, a multidisciplinary group of experts and patients developed a Mod…
  openalex Iben Fasterholdt, Tue Kjølhede, Mohammad Naghavi‐Behzad, Thomas Schmidt 等 2022-01-01 置信度 0.72 Value (mathematics)Artificial intelligenceMedical physicsComputer scienceNuclear medicine
• Evaluation of e-learning for medical education in low- and middle-income countries: A systematic review
  In low- and middle-income countries (LMICs), e-learning for medical education may alleviate the burden of severe health worker shortages and deliver affordable access to high quality medical education. However, diverse challenges in infrastructure and adoption…
  openalex Sandra Barteit, Dorota Guzek, Albrecht Jahn, Till Bärnighausen 等 2019-10-07 置信度 0.72 ComparabilityPsychological interventionMedical educationMedicineSummative assessment
• Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review
  The evidence of the impact of traditional statistical (TS) and artificial intelligence (AI) tool interventions in clinical practice was limited. This study aimed to investigate the clinical impact and quality of randomized controlled trials (RCTs) involving in…
  openalex Qian Zhou, Zhihang Chen, Yi-heng Cao, Sui Peng 2021-10-28 置信度 0.72 Psychological interventionRandomized controlled trialMedicineClinical trialSystematic review
• Literature reviews as independent studies: guidelines for academic practice
  Abstract Review articles or literature reviews are a critical part of scientific research. While numerous guides on literature reviews exist, these are often limited to the philosophy of review procedures, protocols, and nomenclatures, triggering non-parsimoni…
  openalex Sascha Kraus, Matthias Breier, Weng Marc Lim, Marina Dabić 等 2022-10-14 置信度 0.72 ConfusionSystematic reviewEpistemologyEngineering ethicsComputer science
• Application of medical artificial intelligence technology in sub-Saharan Africa: Prospects for medical laboratories
  The widespread adoption of artificial intelligence (AI) technology globally has brought significant changes to various sectors. AI-assisted algorithms have notably improved decision-making, operational efficiency, and productivity, especially in healthcare and…
  openalex Richard Kobina Dadzie Ephraim, Gabriel Pezahso Kotam, Evans Duah, Frank Naku Ghartey 等 2024-08-02 置信度 0.72 Context (archaeology)WorkflowHealth carePsychological interventionKnowledge management
• Identifying normal mammograms in a large screening population using artificial intelligence
  OBJECTIVES: To evaluate the potential of artificial intelligence (AI) to identify normal mammograms in a screening population. METHODS: In this retrospective study, 9581 double-read mammography screening exams including 68 screen-detected cancers and 187 false…
  openalex Kristina Lång, Magnus Dustler, Victor Dahlblom, Anna Åkesson 等 2020-09-02 置信度 0.72 MedicineNeuroradiologyInterventional radiologyRadiologyUltrasound
• Artificial intelligence in the clinical laboratory
  openalex Hanjing Hou, Rui Zhang, Jinming Li 2024-05-09 置信度 0.72 Medical laboratoryWorkflowComputer scienceProcess (computing)Field (mathematics)
• Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives
  Background: The ophthalmology field was among the first to adopt artificial intelligence (AI) in medicine. The availability of digitized ocular images and substantial data have made deep learning (DL) a popular topic. Main text: At the moment, AI in ophthalmol…
  openalex Kai Jin, Juan Ye 2022-08-24 置信度 0.72 Macular degenerationDiabetic retinopathyOptometryGlaucomaMedicine
• Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review
  Chronic Low Back Pain (LBP) is a symptom that may be caused by several diseases, and it is currently the leading cause of disability worldwide. The increased amount of digital images in orthopaedics has led to the development of methods related to artificial i…
  openalex Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Luca Vollero 等 2021-10-17 置信度 0.72 Artificial intelligenceLow back painDeep learningComputer scienceSegmentation
• Evolution of Machine Learning in Tuberculosis Diagnosis: A Review of Deep Learning-Based Medical Applications
  Tuberculosis (TB) is an infectious disease that has been a major menace to human health globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are an arch to full recovery of the patient. Computer-aided diagnosis (CAD) has been a hopef…
  openalex Manisha Singh, Gurubasavaraj V. Pujar, Sethu Arun Kumar, Meduri Bhagyalalitha 等 2022-08-23 置信度 0.72 Artificial intelligenceMachine learningTuberculosisDeep learningComputer science
• Artificial Intelligence of Things: A Survey
  The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we provide a systematic and comprehensive review of AIoT research. W…
  openalex Md Shakhrul Iman Siam, Hyunho Ahn, Li Liu, Samiul Alam 等 2024-08-30 置信度 0.72 Computer scienceInternet of ThingsArtificial intelligenceData scienceHuman–computer interaction
• Artificial intelligence-based MRI radiomics and radiogenomics in glioma
  The specific genetic subtypes that gliomas exhibit result in variable clinical courses and the need to involve multidisciplinary teams of neurologists, epileptologists, neurooncologists and neurosurgeons. Currently, the diagnosis of gliomas pivots mainly aroun…
  openalex Haiqing Fan, Yilin Luo, Fang Gu, Bin Tian 等 2024-03-14 置信度 0.72 RadiogenomicsRadiomicsMedicineGliomaBioinformatics
• What Is Machine Learning, Artificial Neural Networks and Deep Learning?—Examples of Practical Applications in Medicine
  Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all topics that fall under the heading of artificial intelligence (AI) and have gained popularity in recent years. ML involves the application of algorithms to automate decisi…
  openalex Jakub Kufel, Katarzyna Bargieł-Łączek, Szymon Kocot, Maciej Koźlik 等 2023-08-03 置信度 0.72 Artificial intelligenceArtificial neural networkMachine learningComputer scienceDeep learning
• Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence
  The concept of innovation ecosystems has become prominent due to its explanatory power. It offers a convincing account of innovation, explaining how and why innovation pathways change and evolve. It has been adopted to explain, predict, and steer innovation. T…
  openalex Bernd Carsten Stahl 2021-10-26 置信度 0.72 Responsible Research and InnovationEcosystemKnowledge managementBusinessEngineering ethics
• Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection
  High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SARS-CoV-2. H…
  openalex Masateru Taniguchi, Shohei Minami, Chikako Ono, Rina Hamajima 等 2021-06-17 置信度 0.72 NanoporeNanopore sequencingComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus
• Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review
  Diabetic retinopathy (DR) is a dangerous eye condition that affects diabetic patients. Without early detection, it can affect the retina and may eventually cause permanent blindness. The early diagnosis of DR is crucial for its treatment. However, the diagnosi…
  openalex Ibrahem Kandel, Mauro Castelli 2020-03-16 置信度 0.72 Transfer of learningArtificial intelligenceDeep learningComputer scienceConvolutional neural network
• Liability for Distributed Artificial Intelligences
  W]hat is interesting here is that the program does have the potential to arrive at very strange answers
  openalex Curtis E.A. Karnow 1996-01-01 置信度 0.72 LiabilityBusinessComputer scienceFinance
• Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques
  The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagnosis of ep…
  openalex Paul Fergus, David Hignett, Abir Hussain, Dhiya Al‐Jumeily 等 2015-01-01 置信度 0.72 ElectroencephalographyEpilepsyEpileptic seizureArtificial intelligenceScalp
• A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians
  While generative artificial intelligence (AI) has shown potential in medical diagnostics, comprehensive evaluation of its diagnostic performance and comparison with physicians has not been extensively explored. We conducted a systematic review and meta-analysi…
  openalex Hirotaka Takita, Daijiro Kabata, Shannon L. Walston, Hiroyuki Tatekawa 等 2025-03-22 置信度 0.72 Meta-analysisGenerative grammarReliability (semiconductor)Diagnostic accuracySystematic review
• Artificial intelligence‐based chatbot patient information on common retinal diseases using ChatGPT
  File S1 Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
  openalex Ivan Potapenko, Lars Christian Boberg‐Ans, Michael Stormly Hansen, Oliver Niels Klefter 等 2023-03-13 置信度 0.72 ChatbotRetinalComputer scienceArtificial intelligenceMedicine
• Understanding Medical Students’ Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study
  Medical students learning to use artificial intelligence for medical practices is likely to enhance medical services. However, studies in this area have been lacking. The present study investigated medical students' perceptions of and behavioral intentions tow…
  openalex Xin Li, Michael Yi‐Chao Jiang, Morris Siu–Yung Jong, Xinping Zhang 等 2022-07-18 置信度 0.72 PerceptionPsychologyApplied psychologySurvey researchNeuroscience
• Process mining in healthcare: A literature review
  openalex Eric Rojas, Jorge Muñoz-Gama, Marcos Sepúlveda, Daniel Capurro 2016-04-29 置信度 0.72 Process miningProcess (computing)Computer scienceScope (computer science)Data science
• Segmentation and Feature Extraction in Medical Imaging: A Systematic Review
  Image processing techniques being crucial towards analyzing and resolving issues in medical imaging since last two decades. Medical imaging is a process or technique to find the inner or outer construction of mortal body. The process observes medicinal diagnos…
  openalex Chiranji Lal Chowdhary, D. P. Acharjya 2020-01-01 置信度 0.72 Computer sciencePreprocessorMedical imagingSegmentationFeature extraction
• Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
  Recent advancements in Explainable Artificial Intelligence (XAI) aim to bridge the gap between complex artificial intelligence (AI) models and human understanding, fostering trust and usability in AI systems. However, challenges persist in comprehensively inte…
  openalex Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu, Pamela Eberechukwu Ukeoma 等 2025-02-07 置信度 0.72 Computational intelligenceArtificial intelligenceComputer scienceHuman intelligenceCognitive science
• Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments
  Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identifying the re…
  openalex Kaifeng Gan, Dingli Xu, Yimu Lin, Yandong Shen 等 2019-04-03 置信度 0.72 Convolutional neural networkRadiographyYouden's J statisticArtificial intelligenceMedicine