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• Atrial fibrillation detection performance of an insertable cardiac monitor: Results from an Assert-IQ post-market clinical study and a novel artificial intelligence algorithm.
  Accurate atrial fibrillation (AF) detection and burden assessment are critical features of modern insertable cardiac monitors (ICMs), enabling precise determination of AF episode patterns, frequency, duration, and total burden to guide treatments.
  pubmed Birgersdotter-Green U, Ojeda W, Manyam H, Garcia AM 等 2026 Jan 置信度 0.82
• Progressing towards global hepatitis C elimination: a systematic review and meta-analysis of care cascades in key populations.
  Hepatitis C virus (HCV) remains a global health concern, with cascade gaps hindering elimination. We aim to assess and compare HCV care cascades in four key populations: people living with HIV (PLHIV), people who inject drugs (PWID), men who have sex with men …
  pubmed Zou Z, Cao Y, Zhang Y, Hu Y 等 2026 Feb 置信度 0.82
• Can artificial intelligence pass the test? Evaluating chatbot scores on pediatric gastroenterology board-style questions.
  The American Academy of Pediatrics (AAP) Pediatrics Review and Education Program (PREP)® Gastroenterology (GI) Self-Assessments help pediatric gastroenterologists and trainees prepare for subspecialty board exams by providing peer-reviewed questions and c…
  pubmed Roberts AG, Patel R, Babu S, Engelhard MM 等 2026 Feb 置信度 0.82
• Evaluation of Large Language Models in the Diagnosis, Urgency Triage, and Initial Management of Ophthalmic Emergencies.
  Introduction Artificial intelligence (AI) technologies are progressing rapidly and becoming an integral part of how healthcare professionals obtain medical knowledge. Large language models (LLMs) now enable clinicians to have direct access to medical guidance …
  pubmed Mittal S, Aggarwal Y 2026 Jan 置信度 0.82
• Early hypoxia prediction in diseased patients via wheezing sounds in respiration: a prospective cohort study.
  Early detection of hypoxia in the emergency room may reduce complications. Breath sounds can be evaluated immediately. Our research endeavors to investigate the relationship between breath sounds and oxygen demand.
  pubmed Huang CH, Fan CY, Chen CH, Sung CW 等 2025 置信度 0.82
• A Differential Evolution-Based Optimized Ensemble for Balanced and Imbalanced Medical Datasets.
  Class imbalance is a frequent and severe problem in medical datasets, where instances from the minority class are usually high risk or disease positive. Most traditional classifiers suffer from a biasness towards the majority class, resulting in a poor detecti…
  pubmed Das S, Nayak SP, Sahoo B, Champati Rai S 2025 置信度 0.82
• Data Fit for Health Equity: Learning Health Systems, AI, and the STANDING Together Recommendations.
  Artificial Intelligence (AI) tools may deliver significant improvements in healthcare and Learning Health Systems are well positioned to benefit. However, during the adoption of AI, Learning Health Systems should consider the potential for AI to exacerbate hea…
  pubmed Laws E, Cockburn N 2026 Apr 置信度 0.82
• Correction: The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south.
  [This corrects the article DOI: 10.3389/fdgth.2025.1535018.].
  pubmed Tan MJT, Lichlyter DA, Maravilla NMAT, Schrock WJ 等 2026 置信度 0.82
• Vascular Robotics: Webcast.
  This 55-minute webcast features a conversation about "Vascular Robotics"-the focus of Issue 21.5. Led by the issue's editors, the discussion engages the authors on emerging themes and lessons learned while researching and writing the articles. View the video a…
  pubmed Quiñones MA, Lumsden A, Corr S, Watson J 等 2025 置信度 0.82
• Effects of Mental Health on 30-Day Postoperative Outcomes Following Peripheral Nerve Repair.
  Peripheral nerve injuries (PNIs) are a significant cause of global disability, often leading to lifelong sensory and motor deficits. Increasing efforts to unveil the psychosocial implications of such injuries is being made. The aim of this study was to determi…
  pubmed Reid J, Zieminski C, Martino JA, DeSalvo J 等 2026 Feb 16 置信度 0.82
• Strengthening health technology assessment (HTA) in the European Union: insights from Slovenia's implementation journey.
  Slovenia has engaged with Health Technology Assessment (HTA) for over two decades, but its system remains fragmented and underdeveloped. Until recently, responsibilities for evaluating health technologies were dispersed across multiple institutions without a c…
  pubmed Beravs-Bervar K, Goettsch W, Gutierrez-Ibarluzea I, Skali A 等 2026 Feb 16 置信度 0.82
• Comment on 'Can ChatGPT pass the urology fellowship examination? Artificial intelligence capability in surgical training assessment'.
  pubmed Daungsupawong H, Wiwanitkit V 2026 Mar 置信度 0.82
• In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure.
  BACKGROUND: Successful non-invasive ventilation (NIV) reduces ICU length of stay, the need for intubation and the risk of death. However, patients who fail NIV and require intubation have a higher risk of death. We developed NIVPredict, an easy-to-use web-base…
  pubmed Yu H, Saffaran S, Ali A, Henry C 等 2026 Feb 15 置信度 0.82
• Development and external validation of a machine learning model for predicting in-hospital mortality in acute liver failure.
  Acute liver failure (ALF) is a rapidly progressive and life-threatening condition that requires accurate risk stratification. Existing prognostic tools have limited sensitivity and generalizability. This study aimed to develop and externally validate a machine…
  pubmed Wu X, Song Q, Li D, Liu Z 等 2026 May 置信度 0.82
• NPSA 2025 Presidential Address:Innovation, clinical translation, and leadership in surgery: From concept to impact.
  Innovation is frequently invoked as an essential driver of progress in modern surgery, yet its definition, implementation, and leadership aspects remain inconsistently understood. Drawing on clinical experience, systems-based research, and translational exampl…
  pubmed Ball CG 2026 May 置信度 0.82
• Retinal Biomarkers for Cardiovascular Disease Prediction: A Review Focused on CHD AHD Valvular Disorders and Cardiomyopathies.
  Cardiovascular diseases (CVDs) remain the leading cause of global mortality, with congenital heart disease (CHD), acquired heart disease (AHD), valvular disorders, and cardiomyopathies contributing significantly to morbidity. Retinal fundus imaging has emerged…
  pubmed Chandrashekar AB, Rao SN, Mahadevappa M, Mudduveerappa BM 2026 置信度 0.82
• Mapping phenotypic heterogeneity and cardiometabolic risk in obesity using a tree-based dimensionality reduction framework.
  BACKGROUND: The population-level heterogeneity of obesity has yet to be systematically investigated. We aimed to apply the data dimensionality reduction tree (DDRTree) method to obese individuals and to examine how distinct phenotypic patterns align with diffe…
  pubmed Zhao Y, Wang W, Wang Z, Ma J 等 2026 Feb 14 置信度 0.82
• Interpretable habitat and peritumoral radiomics from multiparametric MRI for preoperative high-risk prostate cancer prediction: a multi-institutional study.
  Current preoperative assessment faces limitations, including PI-RADS scoring subjectivity and diagnostic uncertainty in distinguishing high-risk prostate cancer from benign and low-risk lesions. To develop an interpretable ensemble learning framework integrati…
  pubmed Yuan M, Chang D, Lu W, Ma K 等 2026 Feb 14 置信度 0.82
• An interpretable machine learning model for preoperative prediction of aldosterone secretion and CYP11B2 status of adrenal gland.
  To investigate whether a machine learning (ML) model integrating CT-based radiomics and clinical features can noninvasively evaluate the aldosterone secretion and CYP11B2 status of the adrenal gland, using Shapley Additive Explanations (SHAP) for model interpr…
  pubmed Zhou S, Liu Z, Fang W, Xu X 等 2026 Feb 14 置信度 0.82
• U-Net and YOLOv8 Artificial Intelligence Models for Automated Recognition of Internal Jugular Veins and Radial Arteries: A Foundational Study for Artificial Intelligence-guided Vascular Cannulation inPoint-of-care Ultrasound.
  This study compares the U-Net and You Only Look Once version 8 (YOLOv8) models for identifying internal jugular veins (IJVs) and radial arteries (RAs) in longitudinal and/or transversal ultrasound views, evaluating their vascular recognition capabilities for a…
  pubmed Gu Y, Tang G, Gao L, Li R 等 2026 Apr 置信度 0.82
• Towards real time AI-augmented fluorescence-guided surgery: Evidence and translational readiness across neurosurgical, gynaecological, and thoracic oncology.
  Fluorescence-guided surgery (FgS) is increasingly used across oncologic specialties to enhance intraoperative visualisation of tumour tissue and lymphatic drainage; however, its clinical impact remains limited by heterogeneous tracer uptake, variable signal in…
  pubmed Shafi O, Mirzarakhimov M, Martin S, Gabriel D 等 2026 Apr 置信度 0.82
• Artificial Intelligence-Based Digital Image Analysis for Assessing Ki67, P53, and PHH3 Expression in Glioblastoma Multiforme.
  To compare artificial intelligence (AI)-based analysis of Ki67, PHH3, and p53 immunohistochemical (IHC) biomarkers in glioblastoma multiforme (GBM) with conventional evaluations performed by experienced pathologists, and to assess the consistency and statistic…
  pubmed Devrim T, Erkilinc G, Tuncer SS 2026 Feb 置信度 0.82
• Structure of AI Responses With Complex Patient Analysis for Patient Alternatives and Patient Modifiers.
  Artificial intelligence (AI) is already a powerful tool that is rapidly growing within the dental sector. Reports of structure and characteristics of AI responses to patient scenarios are limited.
  pubmed Johnsen DC, Marchini L, Vo K, Young LB 等 2026 Feb 13 置信度 0.82
• Corrigendum: Clinical Implementation of Artificial Intelligence Scribes in Health Care: A Systematic Review.
  pubmed Hassan H, Zipursky AR, Rabbani N, You JG 等 2025 Aug 置信度 0.82
• THE IMPACT OF VISION 2030 ON PHARMACY STUDENTS' CAREER OUTLOOKS AND SPECIALIZATION CHOICES: A CROSS-SECTIONAL ANALYSIS.
  Saudi Arabia's Vision 2030 has introduced substantial reforms aimed at transforming the healthcare sector, including the expansion of advanced clinical roles, digital health integration, and workforce localization. Understanding how these reforms influence pha…
  pubmed Alhur A, Alharajeen R, Alshabanah A, Alghuwainem J 等 2025 Dec 置信度 0.82
• Leveraging cfDNA fragmentomic features for the early detection of colorectal cancer.
  Early detection of colorectal cancer (CRC) is crucial for improving patient outcomes. Cell-free DNA (cfDNA) analysis has emerged as a promising non-invasive approach for cancer detection. This study aims to develop a machine learning algorithm leveraging cfDNA…
  pubmed Shan L, Xu D, Chen J, Liu W 等 2026 置信度 0.82
• Peritoneal dialysis effluent biomarkers from a multi-omics and artificial intelligence perspective: advances and challenges.
  Long-term peritoneal dialysis (PD) treatment can lead to the destruction of peritoneal structure and function, which can lead to PD failure or even a poor prognosis. However, validated early biomarkers for patients undergoing PD are lacking. PD effluent (PDE) …
  pubmed Li H, Yu F, Wang X, Yao Y 等 2026 Feb 置信度 0.82
• Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.
  Nanoparticulate drug delivery systems (NDDS) have revolutionized modern medicine by significantly improving drug targeting, bioavailability, and therapeutic efficacy. Despite the clinical success of over 90 approved nanomedicines, the development of NDDS remai…
  pubmed Shen C, Zhang M, Lu M, Chang E 等 2026 Feb 置信度 0.82
• Anti-influenza drugs targeting trimeric RNA polymerase complex: From development to clinics.
  The rapid evolution of influenza viruses, driven by high mutation rates and cross-species transmission, underscores the importance of discovering antivirals with novel mechanisms of action and distinct resistance profiles. The influenza virus RNA polymerase, a…
  pubmed Li Y, Zhang J, He F, Cao C 等 2026 Feb 置信度 0.82
• Implementation of AI-Driven Diagnostic Tools to Improve Access and Efficiency in Rural Healthcare: An Umbrella Review.
  Rural and underserved communities continue to face barriers to timely and accurate healthcare due to shortages of specialists, limited diagnostic infrastructure, and geographic isolation. Artificial intelligence (AI)-driven diagnostic tools, including machine …
  pubmed Ugwu HC, Obodo OR, Okafor CN, Ojukwu G 等 2026 Jan 置信度 0.82
• Multimodal learning for scalable representation of high-dimensional medical data.
  Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole slide images (WSIs) …
  pubmed Alsaafin A, Shafique A, Alfasly S, Kalari KR 等 2025 置信度 0.82
• Integrating traditional omics and AI-driven approaches for discovery and validation of novel MicroRNA biomarkers and therapeutic targets in thyroid cancer.
  The discovery of reliable biomarkers and therapeutic targets remains a critical challenge in thyroid cancer management. This study demonstrates the value of integrating traditional omics technologies with artificial intelligence approaches and single-cell vali…
  pubmed Wan Y, Xie D, Zhang M, Yang S 等 2025 置信度 0.82
• Exploring the application of generative artificial intelligence in nursing: a cross-sectional study.
  This study aims to systematically investigate the application of Generative Artificial Intelligence (GAI) in nursing practice within China. It seeks to map current usage patterns, identify perceived benefits and implementation challenges, and uncover the funct…
  pubmed Wu J, Yang M, Wei X, Zheng Y 等 2026 置信度 0.82
• Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications.
  Automated extraction of information from cardiac reports would benefit both clinical reporting and research. Large language models (LLMs) hold promise for such automation, but their clinical performance and practical implementation across various computational…
  pubmed van der Loo W, van der Valk V, van den Broek T, Atsma D 等 2026 Mar 置信度 0.82
• Multi-Omics Analysis of Morbid Obesity Using a Patented Unsupervised Machine Learning Platform: Genomic, Biochemical, and Glycan Insights.
  Morbid obesity is a complex, multifactorial disorder characterized by metabolic and inflammatory dysregulation. The aim of this study was to observe changes in obese patients adhering to a personalized nutrition plan based on multi-omic data. This study includ…
  pubmed Šnajdar I, Bulić L, Skelin A, Mršić L 等 2026 Feb 4 置信度 0.82
• Advances in the Diagnosis of Rheumatoid Arthritis-Associated Interstitial Lung Disease: Integrating Conventional Tools and Emerging Biomarkers.
  Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) is one of the most common extra-articular manifestations of rheumatoid arthritis (RA) and a leading cause of mortality in RA patients. The diverse and nonspecific clinical presentations of RA-I…
  pubmed Bai J, Yu F, He X 2026 Jan 23 置信度 0.82
• Dietary Nutrients, Gut Microbiota, and Cardiac Function: From Metabolic Mechanisms to Clinical Applications.
  The heart depends on a continuous and flexible energy supply from fatty acids, glucose, and other substrates. Emerging evidence shows that gut microbiota-derived metabolites-such as trimethylamine-N-oxide (TMAO), short-chain fatty acids (SCFAs), secondary bile…
  pubmed Scisciola L, Basilicata MG, Belmonte M, Pesapane A 等 2026 Jan 31 置信度 0.82
• Exploring the Balance Between Artificial Intelligence and Human Expertise in Shaping Breast Reconstruction Outcomes: A Comparative Reflection Study.
  Background/Objectives : Artificial intelligence (AI) has shown potential in patient education and integration into clinical decision support systems. However, its performance in counseling patients on breast reconstruction currently remains underexplored. This…
  pubmed Pop IC, Muntean MV, Gata VA, Ilies RA 等 2026 Feb 2 置信度 0.82
• Assessing the Diagnostic Accuracy of BiomedCLIP for Detecting Contrast Use and Esophageal Strictures in Pediatric Radiography.
  Background/Objectives : Vision-language models such as BiomedCLIP are increasingly investigated for their diagnostic potential in medical imaging. Although these foundation models show promise in general radiographic interpretation, their application in pediat…
  pubmed Fabijan A, Kolejwa M, Zawadzka-Fabijan A, Fabijan R 等 2026 Feb 2 置信度 0.82
• Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model.
  Background : Artificial intelligence (AI) is transforming medical practice, enhancing diagnostic accuracy, personalisation, and clinical efficiency. However, this transition raises complex ethical challenges related to transparency, accountability, fairness, a…
  pubmed Martinho D, Sobreiro P, Domingues A, Martinho F 等 2026 Jan 23 置信度 0.82
• Contemporary Preoperative Detection of Extraprostatic Extension in Prostate Cancer.
  Extraprostatic extension (EPE) is an important prognostic factor in prostate cancer and influences nerve-sparing decisions during radical prostatectomy. Multiparametric MRI (mpMRI) is the standard for local staging, but its sensitivity for EPE remains limited,…
  pubmed Stępka J, Milecki T, Ksepka J, Kujawska A 等 2026 Jan 30 置信度 0.82
• Large Language Models in Cardiovascular Prevention: A Narrative Review and Governance Framework.
  Background: Large language models (LLMs) are becoming progressively integrated into clinical practice; however, their role in cardiovascular (CV) prevention remains unclear. This review synthesizes current evidence on LLM applications in preventive cardiology …
  pubmed Ferreira Santos J, Dores H 2026 Jan 26 置信度 0.82
• Machine Learning Applications for Venous Ulcer Assessment and Wound Care: A Review.
  Over recent years, venous ulcer wound care has experienced significant advancements through the application of machine learning (ML) models. The aim of the present study is a systematic, comprehensive analysis of prior research studies in this field covering t…
  pubmed Madić M, Vitković N, Damnjanović Z, Stojanović S 2026 Jan 23 置信度 0.82
• Demographic-aware deep learning for multi-organ segmentation: Mitigating gender and age biases in CT images.
  Deep learning algorithms have shown promising results for automated organ-at-risk (OAR) segmentation in medical imaging. However, their performance is frequently compromised by demographic bias. This limitation becomes pronounced when conventional models fail …
  pubmed Ma J, Tan T, Jia D, Sun Y 2026 Feb 置信度 0.82
• Development and validation of a competency-based evaluation framework for clinical medical trainees in the era of artificial intelligence: a mixed-methods study in China.
  BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is reshaping the competency requirements for medical trainees. Yet, validated evaluation instruments aligned with outcome-based education (OBE) frameworks remain scarce. METHODS…
  pubmed Li F, Zhao H, Huang Q, Zhang C 等 2026 Feb 12 置信度 0.82
• Artificial intelligence for lung cancer: a systematic review of head‑to‑head CT, FDG PET/CT, and multimodal models across screening, staging, and prognosis.
  Artificial intelligence (AI) has shown increasing potential in lung cancer imaging, particularly in detection, staging, prognosis, and recurrence prediction. However, there is limited synthesis of head-to-head comparative evidence between CT, FDG PET/CT, and m…
  pubmed Eftekharian M, Hashemi Z 2026 Feb 12 置信度 0.82
• Protocol for development of an AI-driven individualized frailty prediction and intervention framework for elderly patients with chronic kidney disease: causal feature learning and knowledge-distillation-based modeling study.
  BACKGROUND: Frailty is a reversible geriatric syndrome marked by diminished physiological reserve and heightened vulnerability. In elderly patients with chronic kidney disease (CKD), frailty accelerates decline and mortality, yet individualized risk stratifica…
  pubmed Chang J, Hu J, Cao Y, Jia X 等 2026 Feb 12 置信度 0.82
• Results of postoperative voice therapy for vocal cord polyps: systematic review and meta-analysis.
  The recovery of voice quality after vocal cord polyp surgery is a key concern for both patients and physicians. Voice therapy plays a significant role in the conservative treatment of vocal cord polyps. In this study, we aimed to evaluate the effect of postope…
  pubmed Yang K, You Q, Huang S, Tao J 等 2026 Jun 置信度 0.82
• Predicting Weight Outcomes From Obesity Medications in a Paediatric Population.
  There are limited paediatric studies comparing outcomes from different obesity medications (OMs) in real-world settings. The aim of this study is to describe real-world variability in outcomes and develop models to predict outcomes from OMs.
  pubmed Mottalib MM, Beheshti R, Viswanathan K, Bunnell HT 等 2026 Feb 置信度 0.82
• Using Large Language Models to Summarize Evidence in Biomedical Articles: Exploratory Comparison Between AI- and Human-Annotated Bibliographies.
  Annotated bibliographies summarize literature, but training, experience, and time are needed to create concise yet accurate annotations. Summaries generated by artificial intelligence (AI) can save human resources, but AI-generated content can also contain ser…
  pubmed Colder Carras M, Qureshi R, Naaman K, Aldayel F 等 2026 Feb 12 置信度 0.82
• Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study.
  This study aimed to develop and validate a machine learning-based model for predicting 24-hour mortality in critically ill patients using prehospital and admission clinical data. We conducted a retrospective cohort study leveraging data from the prehospital em…
  pubmed Li S, Li Z, Luo R, Li Y 等 2026 置信度 0.82
• Postmarketing Safety of Transcranial Magnetic Stimulation: A 10-Year MAUDE Database Analysis of Adverse Events and Technological Advancements.
  Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with expanding clinical applications beyond major depressive disorder. Despite increasing utilization, there has been no published, device-agnostic analysis of TMS-…
  pubmed Awan AI, Waheed N, Zahra R, Dad A 等 2026 Feb 11 置信度 0.82
• Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung Cancer.
  Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting targetable genomic alterations directly from routine pathology slides. Although these approaches could accelerate treatment decisions in lung cancer, little is known about…
  pubmed Rakaee M, Nassar AH, Tafavvoghi M, Jabar F 等 2026 Apr 1 置信度 0.82
• Reinforcing the stereotype: an analysis of AI-generated images of patients with obstructive sleep apnea.
  Obstructive sleep apnea (OSA) is stereotypically a condition of the middle-aged, obese, snoring man, a depiction that obscures the true diversity of vast affected populations. The growing use of artificial intelligence (AI) text-to-image generators for medical…
  pubmed Saran E, Brar A, Brenna CTA, Lyons OD 2025 Dec 1 置信度 0.82
• Global research trends in robotic-assisted thoracoscopic surgery: a multidimensional analysis from 2000 to 2025.
  Robotic-assisted thoracoscopic surgery (RATS) has transformed thoracic surgery, yet fragmented research patterns obscure critical development trajectories and global disparities.
  pubmed Tian J, Rao HH, Guo F, Chen HW 2026 Feb 12 置信度 0.82
• Reply to "Medical Education and Artificial Intelligence: Some Suggestions".
  pubmed Amano I, Obi-Nagata K, Ninomiya A, Fujiwara Y 等 2026 Jan 15 置信度 0.82
• Artificial Intelligence in Cerebrovascular Imaging: A Targeted Review of Aneurysm Detection and Rupture Risk Prediction.
  Cerebral aneurysms are a potentially life-threatening vascular pathology that can lead to subarachnoid hemorrhage, a neurological emergency associated with high morbidity and mortality. Traditional imaging-based assessments (largely centered on aneurysm size, …
  pubmed Le D 2026 Jan 15 置信度 0.82
• Artificial Intelligence in Medical Writing: Is It an Exception to Evidence-Based Medicine?
  Generative artificial intelligence (GenAI) is now widely used in medicine, including medical writing. Its merits and demerits have been discussed; however, such discussion has not been based on evidence-based medicine (EBM). Here, I focus primarily on GenAI us…
  pubmed Matsubara S 2026 Jan 15 置信度 0.82
• Medical Education and Artificial Intelligence: Some Suggestions.
  pubmed Matsubara S 2026 Jan 15 置信度 0.82
• Does a Human-drafted Letter Edited by Chat Generative Pre-Trained Transformer Escape Detection by Artificial Intelligence Detectors?
  pubmed Matsubara S 2026 Jan 15 置信度 0.82
• Expanding donor liver utilization: triple recipient strategy using split, domino, and auxiliary techniques.
  pubmed Sun Q, Ding H, Zhang Y, Zhou X 等 2026 Feb 1 置信度 0.82
• First reported post-transplant lymphoproliferative disorder after combined heart-liver transplantation.
  pubmed Sun Q, Huang M, Tian X, Sun Z 等 2026 Feb 1 置信度 0.82
• Artificial Intelligence in Neuroscience
  The use of artificial intelligence (AI) in neuroscience presents a dynamic advantage for the diagnosis and treatment of diseases connected to the brain. The study examines significant developments and potential paths for AI use in neuroscience. This study high…
  crossref Mahade Hasan, Farhana Yasmin, Xue Yu, Hassan Mehedi 2025-04-28T15:46:32Z 置信度 0.70
• Verifying artificial intelligence-generated images: Socio-technical approaches to authenticity
  The rapid proliferation of artificial intelligence (AI) has transformed visual media, enabled highly realistic AI-generated images, and raised ethical, social, and security concerns. Generative artificial intelligence (Generative AI) architectures, including G…
  crossref Michael Mncedisi Willie 2026-02-09T07:21:55Z 置信度 0.70
• Artificial Intelligence-Assisted Wearable Devices and Sensors
  This chapter examines the transformative role of wearable health devices in collecting data on human activities, affect, and attention, enabled by advancements in ubiquitous computing and artificial intelligence. Moving beyond traditional self-report methods, …
  crossref Hester Chow 2025-10-03T17:02:44Z 置信度 0.70
• Peer Review of “Development of a Conversational Artificial Intelligence–Based Web Application for Medical Consultations: Prototype Study”
  crossref Anonymous 2025-10-15T20:56:56Z 置信度 0.70
• Artificial Intelligence in Healthcare: A New Frontier in Medical Innovation
  Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, treatment, and patient care through its ability to process vast amounts of data quickly, enabling early disease detection, accurate treatments, and personalized care plans. AI…
  crossref Vithyash Ayyappan, Vikash Ayyappan 2025-05-02T13:37:41Z 置信度 0.70
• A Comprehensive Review on the Applications of Artificial Intelligence in Cybersecurity
  Recently, we have realized rapid advancement of technology in several fields due to the emergence of Artificial Intelligence (AI). AI plays a significant role in enhancing the cyber security field to hasten the detection of threat and response, systematize the…
  crossref Qinghao Zeng 2025-07-01T11:55:42Z 置信度 0.70
• Studies on Artificial Intelligence (AI) Techniques for Diabetes Diagnosis Using Facial Features
  Diabetes Mellitus (DM) stands as one of the most widespread non-infectious diseases globally. Although diagnosis of diabetes is possible with the fasting plasma glucose test after 12-hour fast, once diabetes is diagnosed, it cannot be reversed. Therefore, it i…
  crossref Mohammad Bagher Owlia, Hamidreza Soltani 2025-01-31T12:50:17Z 置信度 0.70
• APPLICATION OF ARTIFICIAL INTELLIGENCE TOOLS IN SOLVING APPLIED PROBLEMS IN FORENSIC MEDICINE
  One of the most actively and rapidly developing contemporary analytical research methods in recent years is undoubtedly artificial intelligence. In a relatively short period, it has progressively permeated all spheres of human life. Forensic medicine is no exc…
  crossref Ivan Savka, Ihor Korobko 2025-12-30T11:11:51Z 置信度 0.70
• Artificial Intelligence in Nutrition and Dietetics: A Comprehensive Review of Current Research
  Background/Objectives: Artificial intelligence (AI) has emerged as a transformative force in healthcare, with nutrition and dietetics becoming key areas of application. AI technologies are being employed to enhance dietary assessment, personalize nutrition pla…
  crossref Gabriela Georgieva Panayotova 2025-10-14T10:37:14Z 置信度 0.70
• Devil’s advocate: exploring the potential negative impacts of artificial intelligence on the field of surgery
  crossref Mina Sarofim 2024-03-26T08:54:26Z 置信度 0.70
• Transforming Preventive Medicine Through Artificial Intelligence
  However, AI has greatly changed the way that healthcare proceeds, making it possible to detect disease early and predict the risk of happening. Blood tests, MRI's, CT scans, X-rays and any other clinical, genetic and imaging data is used along with machine lea…
  crossref Richa Singh, Lovleen Marwaha 2025-12-31T21:08:05Z 置信度 0.70
• Artificial Intelligence in the Diagnosis and Management of Colorectal Cancer: A Systematic Review
  Background: Colorectal cancer (CRC) is a leading cause of cancer mortality worldwide.Advances in artificial intelligence (AI) offer new opportunities to enhance CRC detection, diagnosis, and treatment planning.We conducted a systematic review of the literature…
  crossref 2025-06-21T09:20:51Z 置信度 0.70
• Exceptional Minds Meet Artificial Intelligence: Perspectives and Possibilities in Gifted Education.
  crossref 2025-07-14T06:25:21Z 置信度 0.70
• Artificial Intelligence and Intellectual Property Law
  This chapter discusses the interface of artificial intelligence (AI) and intellectual property (IP) law. It focuses on the protection of AI technology, the contentious qualification of AI systems as authors and/or inventors, and the question of ownership of AI…
  crossref Jozefien Vanherpe 2025-02-18T13:47:06Z 置信度 0.70
• Artificial Intelligence Think Tank: a modern problem-solving framework
  In today's world, when everything is changing quickly and new global concerns are emerging, lifelong learning and creative problem solving are more crucial than ever. Classical approaches such as the brainstorming, Delphi, Nominal Group Technique, focus groups…
  crossref Shahryar Sorooshian 2025-08-14T10:30:40Z 置信度 0.70
• Artificial Intelligence (AI)-Enabled Diabetic Retinopathy Detection Techniques
  Diabetic retinopathy (DR) is an ophthalmological distress that damages retinal vessels caused by diabetes. An increase in blood sugar in the body causes complications in the working of the kidneys, eyes, feet, and nerves. DR is one of the diseases that cause l…
  crossref Ravi Bhushan Dixit, Chandan Kumar Jha 2025-04-24T14:58:18Z 置信度 0.70
• Integrating Artificial Intelligence Techniques in Medical Bacteriology
  Integrating Artificial Intelligence Techniques in Medical Bacteriology is a scientific research paper that explores the transformative role of artificial intelligence (AI) in enhancing diagnostic and therapeutic practices within the field of bacteriology. As A…
  crossref Ali Karimi 2025-02-24T18:56:41Z 置信度 0.70
• 2025 International Conference on Computer Science and Artificial Intelligence Applications (CSAIA)
  crossref 2026-07-29T19:13:44Z 置信度 0.70
• Intelligent Applications for Medical Image Analysis
  Persistent challenges have beset the adoption and application of digital technology in the healthcare sector. While there has been some progress towards unifying various healthcare systems, many places in the world still lack completely integrated healthcare s…
  crossref Srabanti Maji, Pooja Gupta, Pradeep Singh Rawat, Tripti Halder 2025-07-31T12:42:25Z 置信度 0.70
• Artificial Intelligence and Responsible Management Education
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