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• Adaptive cascading artificial intelligence for Alzheimer's disease assessment: a clinically oriented narrative review and implementation framework.
  Artificial intelligence (AI) has achieved remarkable success in the diagnosis of Alzheimer's disease (AD) in the literature, where many of the models use multi-modal methods including neuroimaging, cerebrospinal fluid, genetics, and cognitive assessment. But c…
  europepmc 2026 置信度 0.80
• Biofabrication and artificial intelligence strategies for investigating solid- and fluid-pressure mechanobiology in pancreatic ductal adenocarcinoma.
  Pancreatic ductal adenocarcinoma (PDAC) is shaped by a mechanically abnormal tumor microenvironment (TME) in which dysregulated mechanotransduction promotes malignant progression and therapeutic resistance. Two coupled but distinct pressure states dominate thi…
  europepmc 2026 置信度 0.80
• Clinician-facing artificial intelligence and guideline adherence: a structured narrative review of comparative and interventional evidence.
  Purpose To synthesize empirical evidence on whether clinician-facing artificial intelligence (AI) tools improve clinical practice guideline adherence and whether AI-generated recommendations are concordant with physician decision-making. Methods We conducted a…
  europepmc 2026 置信度 0.80
• Addressing Clinician-Educator Hesitancy Toward Artificial Intelligence Through a Peer-Led Instructional Design.
  Introduction Artificial intelligence (AI) has had a tremendous impact on medical education. National data are indicative of massive clinical interest and usage, but a "faculty readiness gap" exists among experienced clinician-educators. Though closing this gap…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in the Golden Hour: A scoping review of prehospital trauma triage and implementation feasibility in LMICs.
  Background The Golden Hour of trauma care in Low- and Middle-Income Countries (LMICs) is routinely compromised by systemic deficits, including unmapped infrastructure, chronic traffic congestion, and a critical scarcity of diagnostic tools. While high-income c…
  europepmc 2026 置信度 0.80
• Nurse educators' experiences and perceptions using generative artificial intelligence: a systematic review.
  Background The rapid uptake of generative artificial intelligence (GenAI) in higher education has increased both enthusiasm and concern. While students' use of GenAI has been widely discussed, empirical research focusing on nurse educators' own experiences and…
  europepmc 2026 置信度 0.80
• Diagnostic Accuracy of Medical Imaging-Based Artificial Intelligence for Osteonecrosis of the Femoral Head: Systematic Review and Meta-Analysis.
  Background Osteonecrosis of the femoral head (ONFH) is a common cause of hip disability in clinical practice. Early and accurate diagnosis can delay or even halt disease progression. In recent years, AI models based on medical imaging have been increasingly ap…
  europepmc 2026 置信度 0.80
• An N-salicyloyl tryptamine derivative (compound 18) improves spermatogenic impairment in obese mice via regulating insulin resistance and enhancing Sertoli cell glycolysis.
  Objective This study aimed to investigate the therapeutic potential of compound 18, an N-salicyloyl tryptamine derivative with established anti-neuroinflammatory and neuroprotective properties, in ameliorating male reproductive dysfunction induced by high-fat …
  europepmc 2026 置信度 0.80
• Surgical paradox: Pen <i>vs</i> scalpel-an opinion review on reforming academic promotion.
  The current system for academic promotion in surgery disproportionately favors quantifiable metrics, such as publications and grant funding, over the demonstration of clinical skill, creating a fundamental "credentialing paradox". This publication-centric cult…
  europepmc 2026 置信度 0.80
• [Multi-modal tumor boundary clustering recognition based on artificial intelligence virtual cells and near-infrared surgical field].
  In order to accurately identify tumor boundaries and improve diagnostic efficiency, this study proposes a multi-modal tumor boundary identification method based on artificial intelligence virtual cells and saliency near-infrared spectrum imaging, and uses this…
  europepmc 2026 置信度 0.80
• A decade of artificial intelligence in endoscopy: from proof of concept to clinical reality.
  europepmc 2026 置信度 0.80
• Artificial intelligence in preoperative diagnosis of thyroid nodules: a bibliometric analysis.
  Objectives To explore the current research progress and trends in the application of artificial intelligence (AI) for preoperative diagnosis of thyroid nodules (TN), and to identify the key research directions through bibliometric analysis. Methods Articles on…
  europepmc 2026 置信度 0.80
• The molecular landscape of chordoma: Current frontiers from multi-omics to artificial intelligence.
  Chordoma is a rare and aggressive malignant bone tumor of the axial skeleton that has historically challenged clinicians due to its complex anatomical locations and a high recurrence rate of up to 85%. This review synthesizes the most recent advances in chordo…
  europepmc 2026 置信度 0.80
• Toward Structured Transparency: A Governance Framework for AI Use in Biomedical Publishing.
  The rapid adoption of large language models and generative artificial intelligence (AI) is transforming biomedical research and publishing. Although international organizations such as the International Committee of Medical Journal Editors (ICMJE) and the Comm…
  pubmed Kim JM 2026 置信度 0.82
• Learning curves and demographic influence on skill acquisition of artificial intelligence-assisted videolaryngoscopy training with the LarynGuide™ system: A pilot simulation study.
  Videolaryngoscopy is increasingly important in airway management, but optimal training methods remain unclear. Artificial intelligence may enhance procedural skill acquisition through real-time feedback and guidance. This high-fidelity simulation pilot study c…
  europepmc 2026 置信度 0.80
• Beyond the Black Box: Is Artificial Intelligence Ready to Reshape Neurosurgical Decision-Making? A Narrative Review.
  Background and aims Artificial intelligence (AI) is increasingly being integrated into neurosurgical practice, offering capabilities in diagnostic imaging, surgical planning, and outcome prediction. However, the "black box" nature of many AI systems generating…
  europepmc 2026 置信度 0.80
• Artificial intelligence in prediabetes care: applications in screening, risk prediction, and lifestyle intervention.
  Prediabetes is a highly prevalent intermediate metabolic state and a major public health target for preventing type 2 diabetes mellitus (T2DM). However, current approaches to prediabetes screening, risk stratification, and lifestyle management remain limited b…
  europepmc 2026 置信度 0.80
• Computational and artificial intelligence-guided discovery of potential therapeutic candidates targeting Ml0099 protein of Mycobacterium leprae.
  Despite a global decline in incidence, leprosy remains a major public health concern, with India accounting for over 55% of cases worldwide, highlighting the unmet need to characterize hypothetical proteins of M. leprae as novel therapeutic targets against eme…
  europepmc 2026 置信度 0.80
• The Big Mo: staying on the wave in an age of artificial intelligence.
  Dr. Kevin B. Johnson delivered this address on May 16, 2026, at the Commencement Ceremony of The D. Bradley McWilliams School of Biomedical Informatics, UTHealth Houston, to the graduating class of 2026. The address uses the concept of "The Big Mo" (compoundin…
  europepmc 2026 置信度 0.80
• Developing artificial intelligence-based techniques for brain MRI image segmentation.
  Introduction Brain MRI image segmentation is essential for the accurate diagnosis and treatment of neurological disorders, including brain tumors, Alzheimer's disease, and multiple sclerosis. Artificial intelligence (AI), particularly deep learning, has emerge…
  europepmc 2026 置信度 0.80
• Multi-modal AI-enabled steatotic liver disease diagnostics using facial images and metabolomics.
  Steatotic liver disease (SLD) affects one-third of the global population, yet current non-invasive diagnostic methods are too costly or operator-dependent for population-scale screening. Here, we present 3D-FAICE, a deep learning system that uses three-dimensi…
  europepmc 2026 置信度 0.80
• Artificial intelligence enhances screening efficiency for inflammatory bowel disease clinical trials: a prospective study.
  An LLM-based AI tool significantly improved identification of potentially eligible patients and screening efficiency for IBD clinical trials, outperforming physician referrals by screening electronic medical records and generating ranked candidate lists based …
  europepmc 2026 置信度 0.80
• Artificial intelligence learning objectives in radiography education: A document analysis.
  Introduction Artificial Intelligence (AI) is rapidly changing healthcare delivery and radiography, impacting both practice and education. Despite its significance, there is limited agreement on educational priorities and curriculum organisation for radiographe…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Clinical Genetics: Current Applications and Challenges.
  Multiomics, next-generation, and long-read sequencing approaches have transformed the practice of medical genetics. Complex cases often require several person-hours to make sense of the tens of thousands to millions of variants and biochemical patterns in each…
  europepmc 2026 置信度 0.80
• Nanomaterial-based latent fingerprint detection and artificial intelligence: from laboratory innovation to forensic practice.
  Background Latent fingerprint (LFP) visualization and automated recognition are fundamental to forensic identification, yet conventional physicochemical methods remain constrained by substrate specificity, chemical toxicity, limited analytical sensitivity, and…
  europepmc 2026 置信度 0.80
• Knowledge and perception of artificial intelligence among operating room staff in educational hospitals: a cross-sectional survey.
  Background Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the readiness of healthcare professionals to understand, trust, and appropriately use AI-enabled systems. Evidence rega…
  europepmc 2026 置信度 0.80
• TRIAGE-AI: A clinician-facing implementation-readiness framework for evaluating artificial intelligence in cancer pathways.
  Artificial intelligence (AI) is increasingly being offered for use in cancer pathways, but clinicians still lack a practical method for judging whether a specific tool is ready for adoption in routine care. Existing standards such as DECIDE-AI, TRIPOD-AI, CONS…
  europepmc 2026 置信度 0.80
• [Artificial intelligence in hypertension: where do we stand?]
  Artificial intelligence (AI) is entering the study of hypertension, serving both primarily clinical purposes - to assist practicing physicians - and research objectives. Hypertension presents certain specific characteristics that should be carefully considered…
  pubmed Verdecchia P, Angeli F, Reboldi G 2026 置信度 0.82
• Artificial intelligence in digital pathology diagnosis and analysis: Technologies, clinical integration, and future prospects (Review).
  The integration of artificial intelligence (AI) into digital pathology is perhaps the most revolutionary leap forward in modern diagnostic medicine. The present review analyzes the existing context of AI pathology systems, particularly diagnostic precision, cl…
  europepmc 2026 置信度 0.80
• The 3C model: a simple prompt engineering framework for generative artificial intelligence.
  This Last Page introduces the intuitive 3C Model (Context, Creation, Clarity), a simplified prompt engineering framework designed to help medical educators effectively and confidently integrate generative artificial intelligence into teaching practices.
  europepmc 2026 置信度 0.80
• Artificial intelligence in immune checkpoint inhibitor research: A bibliometric analysis of the landscape.
  This bibliometric analysis examines the transformative role of artificial intelligence (AI) in immune checkpoint inhibitor (ICI) research. Using VOSviewer, CiteSpace, and Bibliometrix, we analyzed 1,938 publications from the Web of Science Core Collection (201…
  pubmed Kang J, Tang R, Li D, Ma L 等 2026 置信度 0.82
• The role of artificial intelligence in the diagnosis of pericardial constriction.
  Purpose of review Constrictive pericarditis is a complex disease whose distinction from clinical mimickers remains challenging yet critically important. Diagnosis frequently requires integration of findings across multiple imaging modalities. Artificial intell…
  europepmc 2026 置信度 0.80
• Legal protection of personal health information in medical AI applications in China: challenges and regulatory responses.
  Medical artificial intelligence applies advanced AI technologies to enhance the efficiency and quality of clinical diagnosis and treatment. The extensive processing of personal health information in medical AI applications have further accelerated the digital …
  europepmc 2026 置信度 0.80
• Artificial intelligence in forensic medicine and forensic nursing: A systematic review of clinical applications, ethical risks, and implementation challenges.
  Artificial intelligence (AI) is reshaping healthcare, and forensic medicine and nursing are no exception. From automated wound pattern analysis to natural language processing (NLP) in medicolegal documentation, AI tools are entering a field situated at the int…
  europepmc 2026 置信度 0.80
• Recent advances in biomarkers, artificial intelligence, and targeted therapeutic strategies in breast cancer: Current progress and future perspectives.
  Breast cancer is a complex and heterogeneous disease that remains a major global health challenge. Recent progress in molecular biology, artificial intelligence (AI), and precision medicine has transformed its diagnosis and treatment. Conventional biomarkers s…
  europepmc 2026 置信度 0.80
• Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies.
  This scoping review synthesized clinical validation evidence of artificial intelligence (AI) algorithms for diabetes-related foot ulcer (DRFU) detection and assessment and identified factors influencing AI performance in real-world settings. A systematic searc…
  europepmc 2026 置信度 0.80
• Enhancing medical imaging teaching on scoliosis: Efficacy of learning method integrating 3D printing and artificial intelligence technologies.
  Background In scoliosis imaging education, the traditional lecture-based learning model can lead to low student engagement and present challenges in developing clinical thinking abilities and diagnostic skills. This study aims to evaluate the effectiveness of …
  europepmc 2026 置信度 0.80
• Identifying predatory journals made easy: is it justifiable to apply artificial intelligence for peer review?
  europepmc 2026 置信度 0.80
• AI, humanity, and the open world of health care: enduring imperatives for the next century.
  This address was delivered by Eric Horvitz, MD, PhD, at the 2026 graduation ceremony of Columbia University School of Nursing on May 19, 2026, where he received the Second Century Award for Excellence in Health Care. The address considers the responsibilities …
  europepmc 2026 置信度 0.80
• Agreement between artificial intelligence and expert evaluation in assessing the quality of asthma health education videos on YouTube and Bilibili: cross-sectional study.
  Background Online video platforms such as YouTube and Bilibili have become important sources of health information for the public. However, the quality and reliability of online health education videos vary substantially. Artificial intelligence (AI), particul…
  europepmc 2026 置信度 0.80
• Explainability in context: calibrating appropriate trust and reliance in artificial intelligence.
  Background and significance Predictive artificial intelligence (AI) promises to transform care delivery, enhance patient safety, and improve health outcomes. Realizing these benefits will require careful design, implementation, and monitoring strategies to avo…
  europepmc 2026 置信度 0.80
• Reinventing the echocardiography workflow: from manual quantification to artificial intelligence-driven comprehensive interpretation.
  Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including manual acquisition, sequential measurement, and expert interpretation face challenges from increased clinical demand, workforce shortage, and the physi…
  europepmc 2026 置信度 0.80
• Applications of Artificial Intelligence in Cancer Diagnosis and Treatment.
  Driven by changes in lifestyle and environmental factors, the global incidence of cancer is steadily increasing, which has established it as a leading cause of mortality worldwide. The current paradigm for cancer diagnosis and treatment relies on conventional …
  europepmc 2026 置信度 0.80
• Artificial intelligence-based whole-body skeletal muscle volume predicts long-term mortality after transcatheter aortic valve implantation.
  Background Frailty and sarcopenia are important determinants of outcomes in patients undergoing transcatheter aortic valve implantation (TAVI). Conventional skeletal muscle depletion assessment relies on single-slice measurements that do not capture total musc…
  europepmc 2026 置信度 0.80
• Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.
  Background Artificial intelligence (AI) is increasingly influencing dentistry; however, senior dental students' readiness to understand and use AI remains insufficiently explored in underrepresented settings. This study assessed knowledge, perceptions, attitud…
  europepmc 2026 置信度 0.80
• Proper Utilization of Generative AI in Scholarly Writing: The Researcher and Author Perspective.
  The use of generative artificial intelligence (AI) in scholarly publishing is expanding rapidly, yet clear standards for its appropriate use and disclosure remain lacking. Surveys indicate that many researchers already use AI tools for manuscript preparation, …
  pubmed Suh DH, Han DS 2026 置信度 0.82
• Use and Perceptions of Generative Artificial Intelligence Tools Among First-Year Medical Students: A Cross-Sectional Survey.
  Background Artificial intelligence (AI) tools, particularly large language models, are increasingly integrated into medical education. However, little is known about how early medical students perceive their educational value, reliability, and ethical implicat…
  europepmc 2026 置信度 0.80
• scProtoTransformer: Scalable reference mapping across molecules, cells, and donors.
  The rapid accumulation of single-cell data has made it possible to comprehensively characterize biological systems at molecular, cellular, and donor levels. However, scalable reference mapping across different resolutions remains a major challenge in current r…
  europepmc 2026 置信度 0.80
• Q<sub>AI/ML-SaMD</sub>: A Hybrid Health-Technology Quantifiable Quality Metric for Artificial Intelligence/Machine Learning-Based Software as a Medical Device.
  Background: The increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) into medical devices necessitates robust quality evaluation methods. However, existing approaches remain qualitative, sector-specific, or focused on isolated attri…
  europepmc 2026 置信度 0.80
• Prognostic significance of baseline 18F-FDG PET/CT parameters in combination with an artificial intelligence-based pleural effusion segmentation model for malignant pleural effusion.
  Objectives We aimed to use an artificial intelligence (AI)-based pleural effusion segmentation model on baseline 18F-FDG PET/CT images to investigate the prognostic value of PET/CT-derived parameters for overall survival (OS) among lung cancer patients with ma…
  europepmc 2026 置信度 0.80
• Prompting generative artificial intelligence to create plain language patient education materials.
  Objectives Generative artificial intelligence (AI) holds promise for creating patient education materials (PEM). However, AI-produced content is often difficult to read. Prompts for AI to write at a lower reading level either fail to meet recommended targets (…
  europepmc 2026 置信度 0.80
• Artificial Intelligence-Guided Precision Orthobiologics in Musculoskeletal Conditions.
  Introduction The use of orthobiologics such as autologous peripheral blood-derived orthobiologics, bone marrow-derived biologics, adipose tissue-derived biologics, mesenchymal stem cells, and extracellular vesicles is gaining traction in the field of orthobiol…
  europepmc 2026 置信度 0.80
• Artificial intelligence for predicting surgical difficulty in laparoscopic cholecystectomy: a systematic review and meta-analysis.
  Background Accurately predicting operative difficulty in laparoscopic cholecystectomy (LC) is foundational to personalized surgical planning and patient safety assurance. However, the reliability, generalizability, and true clinical utility of current Artifici…
  europepmc 2026 置信度 0.80
• Conversational artificial intelligence HeAlth supporT in Atrial Fibrillation Self-Management (CHAT-AF-S): rationale and randomised controlled trial design.
  Introduction Atrial fibrillation (AF), a common arrhythmia, is associated with impaired quality of life and increased stroke risk and mortality. Clinical guidelines recommend leveraging digital technologies to support patient education and AF self-management. …
  europepmc 2026 置信度 0.80
• Decision Support Framework for Quality Assurance and Enhancement of Therapeutic Artificial Intelligence Systems: Mixed Methods Pilot Study.
  Therapeutic chatbots are increasingly deployed across digital mental health services, yet most evaluation efforts remain diagnostic rather than actionable. Organizations lack structured pathways to translate evaluation findings into validated quality improveme…
  pubmed Kang B, Kwon K, Huilin P, Hong S 等 2026 置信度 0.82
• The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects.
  Background/Objectives : The application of artificial intelligence (AI) in the healthcare field continues to deepen, with the development paradigm gradually shifting from technology-driven innovation to design-driven innovation towards "human-centered artifici…
  pubmed Liu Y 2026 置信度 0.82
• Predicting transcriptional regulators in plants in the era of artificial intelligence.
  Identifying transcriptional regulators that control important biological pathways in plants is fundamental to understanding regulatory mechanisms, network hierarchy, and phenotypic variation. This remains challenging because transcription factors (TFs) and the…
  europepmc 2026 置信度 0.80
• Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.
  Background Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in medical education. Existing overviews often address AI in medical education broadly, limiting assessment-specifi…
  europepmc 2026 置信度 0.80
• Comprehensive Consideration of Ethics in AI-assisted Scientific Writing and Peer Review.
  The emergence of large language models and generative artificial intelligence (AI) is driving fundamental transformations in the ecosystem of scholarly publishing and peer review. As manuscript production enters an era of sophisticated technological assistance…
  europepmc 2026 置信度 0.80
• Short-Term Efficacy of the Artificial Intelligence HeartBot II in Increasing Awareness and Knowledge of Heart Attack in Women: Protocol for a Randomized Controlled Trial With a Waitlist Control.
  Background Heart disease remains a leading cause of death for women in the United States. Despite this burden, awareness that heart disease is the leading cause of death among women declined from 65% in 2009 to 44% in 2019, with the largest declines observed a…
  europepmc 2026 置信度 0.80
• AI Agents and the Future of Clinical Judgment in Medical Education: Opportunities, Challenges, and the Need for Human-Centered Integration.
  Background Artificial intelligence (AI) is actively transforming health professions education by introducing innovative methodologies for learning, simulation, and clinical decision support. The recent emergence of autonomous AI agents-equipped with advanced c…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Cardiovascular Ultrasound: Clinical Applications, Foundation Models, and the Path to Precision Cardiology.
  Cardiovascular ultrasound is a cornerstone of noninvasive cardiac and vascular assessment, yet conventional interpretation remains operator-dependent, variable, and limited in sensitivity for subclinical disease. Artificial intelligence (AI), particularly mach…
  europepmc 2026 置信度 0.80
• Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.
  Objective We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. Materials and methods An AI summarization tool was created to provide a "Patient Story", specialty-specific "Recent Notes", and …
  europepmc 2026 置信度 0.80
• Artificial Intelligence for Diagnosis of Esophageal Manometry: A Narrative Review.
  Purpose of review High-resolution manometry (HRM), the gold standard for diagnosing esophageal motility disorders, remains constrained by inter-rater variability, limited access to expert esophagologists, and inadequate training infrastructure. Many gastroente…
  europepmc 2026 置信度 0.80
• Reinforcement learning with reputation-based adaptive exploration promotes cooperation.
  Reinforcement learning provides a framework for studying how individuals adjust their behavior through repeated interaction and feedback in social dilemmas. In Q-learning, exploration controls how often agents choose actions other than those favored by their c…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Perioperative and Pain Care: Knowledge, Attitudes, and Adoption Barriers Among Anesthesiologists.
  Background The integration of artificial intelligence (AI) in anesthesiology holds immense potential to revolutionize perioperative care. Despite the growing interest in AI, limited research exists on anesthesiologists' knowledge, attitudes, and practical expo…
  europepmc 2026 置信度 0.80
• Performance Validation of ORTHOSEG, a Novel Artificial Intelligence Tool for the Segmentation of Orthopantomographs and Intra-Oral X-Rays
  Background: Dental radiographs are essential for diagnosis and treatment planning in modern dentistry. However, their manual interpretation is time-consuming and subject to variability, highlighting the need for automated tools to improve efficiency and consis…
  openalex Giuseppe Cota, Gaetano Scaramozzino, Marco Chiesa, Lelio Gennaro 等 2026-03-04 置信度 0.72 SegmentationArtificial intelligenceMedicineReliability (semiconductor)Inference
• Lung cancer screening: where do we stand?
  Lung cancer screening (LCS) programmes have emerged over recent years around the world. LCS programmes present differences in delivery, inclusion criteria and resource allocation. On a national scale, only a few LCS programmes have been fully established, but …
  openalex Georgia Hardavella, Armin Frille, Katherina Bernadette Sreter, Florence Atrafi 等 2024-06-01 置信度 0.72 RadiomicsLung cancer screeningLung cancerComputed tomographyMedicine
• Better way: initial acceptability testing of using artificial intelligence tools to accelerate development of trauma clinical guidance
  Abstract Introduction Representatives of the trauma community have voiced a need for a new approach to developing clinical guidance. In this study, we test the initial acceptability of a proposed 12-step approach that aims to reduce the current clinical guidan…
  openalex Gabriela Zavala Wong, Shannon Rosenauer, Chelsea Church, Diana Sherifali 等 2026-06-01 置信度 0.72 Computer scienceArtificial intelligence
• Reinforcement Learning in Medical Imaging: Taxonomy, LLMs, and Clinical Challenges
  Reinforcement learning (RL) is being used more in medical imaging for segmentation, detection, registration, and classification. This survey provides a comprehensive overview of RL techniques applied in this domain, categorizing the literature based on clinica…
  openalex Abm Kamrul Islam Riad, Md Abdul Barek, Hossain Shahriar, Guillermo Francia 等 2025-08-30 置信度 0.72 Computer scienceReinforcement learningTaxonomy (biology)Artificial intelligenceMedical imaging
• Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
  The energy optimization and demand side management (DSM) of Internet of Things (IoT)-enabled microgrids are being transformed by generative artificial intelligence, such as large language models (LLMs). This paper explores the integration of LLMs into energy m…
  openalex Hanwen Zhang, Ruichen Zhang, Weidong Zhang, Dusit Niyato 等 2025-01-26 置信度 0.72 Generative grammarDemand sideComputer scienceArtificial intelligenceEconomics
• Academic transformation in the era of artificial intelligence: drivers of university faculty adoption of GenAI based on the UTAUT model
  Generative Artificial Intelligence (GenAI) technology is reshaping the traditional paradigms of research and teaching, with “AI for Science” and “AI-Enabled Education” profoundly transforming contemporary higher education. As the central force driving research…
  openalex Jingyao Wang, Haoming Wang, Junwu Yang, Chengliang Wang 2026-05-15 置信度 0.72 Transformation (genetics)Higher educationKnowledge managementEngineering managementUniversity faculty
• Generative Artificial Intelligence In Health Informatics Education: A Comprehensive Bibliometric Assessment Of Cognitive Outcome Research (2019–2025)
  This study provides a comprehensive bibliometric assessment of generative artificial intelligence (GenAI) research in health informatics education, with particular emphasis on cognitive outcomes. A total of 264 PubMed-indexed publications (2019–2025) were anal…
  openalex Anas Ali Alhur, Nouf Al-Kahtani 2026-01-01 置信度 0.72 Health informaticsCompetence (human resources)InformaticsCurriculumCognition
• Dietary therapies interlinking with gut microbes toward human health: Past, present, and future
  Overview of personalized dietary therapies. This flow chart exhibits the future prospect for integrating human microbiome and bio-medical research to revolutionize the precise personalized dietary therapies. With the development of artificial intelligence (AI)…
  openalex Jiali Chen, Jiaqiang Luo, Sjaak Pouwels, Beijinni Li 等 2024-08-10 置信度 0.72 Gut floraMicrobiomeDiseaseObesityEnvironmental health
• Integrating Artificial Intelligence tools into construction project decision-making: Lessons from early 2023 implementations
  This paper discusses the adoption of Artificial Intelligence (AI) tools for construction project decision-making and examines their implementation in early 2023. The study assesses the usefulness of AI technologies, i.e., predictive analytics and machine learn…
  openalex Shakeeb Sultan 2023-10-31 置信度 0.72 ImplementationEngineering managementEngineeringAnalyticsConstruction industry
• Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
  Few-Shot Medical Image Segmentation (FSMIS) has been widely used to train a model that can perform segmentation from only a few annotated images. However, most existing prototype-based FSMIS methods generate multiple prototypes from the support image solely by…
  openalex Jianchao Jiang, Haofeng Zhang 2024-07-26 置信度 0.72 Computer scienceArtificial neural networkArtificial intelligenceSpiking neural networkImage (mathematics)
• A Review of Security and Privacy Concerns in the Internet of Things (IoT)
  The recent two decades have witnessed tremendous growth in Internet of things (IoT) applications. There are more than 50 billion devices connected globally. IoT applications’ connectivity with the Internet persistently victimized them with a divergent range of…
  openalex Muhammad Aqeel, Fahad Ali, Muhammad Waseem Iqbal, Toqir A. Rana 等 2022-09-29 置信度 0.72 Computer securityMalwareTrojanComputer scienceAuthentication (law)
• Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar
  Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and intervention. Notably, most studies of AI in mental health have been performed in Western contexts, with limited evidence from the Arab Gulf region, wh…
  openalex Amani ElBarazi, Hatem Mohamed, Ramzi Nasser 2026-05-06 置信度 0.72 AmbivalenceMental healthPreferencePsychologyPerception
• Electrocardiographic Signatures of Dysglycaemia: Mechanistic Foundations, Digital Biomarkers, and Artificial Intelligence for Non-Invasive Diabetes Risk Stratification
  Diabetes mellitus is projected to affect more than 1.3 billion people worldwide by 2050, with millions remaining undiagnosed or in a prediabetic state. Cardiovascular complications account for nearly half of diabetes-related deaths, highlighting the need for s…
  openalex Chingiz Alimbayev, Zhadyra Alimbayeva, Kassymbek Ozhikenov, Kairat Karibayev 等 2026-03-18 置信度 0.72 MedicineDiabetes mellitusDiseaseRisk stratificationCardiology
• Synthetic Breast Ultrasound Images: A Study to Overcome Medical Data Sharing Barriers
  The vast potential of medical big data to enhance healthcare outcomes remains underutilized due to privacy concerns, which restrict cross-center data sharing and the construction of diverse, large-scale datasets. To address this challenge, we developed a deep …
  openalex Jiale Xu, Qing Hua, Xiaohong Jia, YuHang Zheng 等 2024-01-01 置信度 0.72 UltrasoundBreast ultrasoundData sharingComputer scienceMedicine
• Videomics and artificial intelligence in endoscopic diagnosis of laryngeal lesions: mapping current evidence through a scoping review
  Laryngeal lesions are common and despite advances like high-definition videolaryngoscopy and enhanced imaging modalities such as narrow-band imaging, laryngoscopy remains operator-dependent. In this setting, artificial intelligence (AI) represents a promising …
  openalex Alessandro Ioppi, Elisa Bellini, Maria Sofia Salvetta, Filippo Marchi 等 2026-05-01 置信度 0.72 MedicineLaryngoscopyModalitiesArtificial intelligenceMedical physics
• Natural Language Processing (NLP)-Based Frameworks for Cyber Threat Intelligence and Early Prediction of Cyberattacks in Industry 4.0: A Systematic Literature Review
  This study provides a systematic overview of Natural Language Processing (NLP)-based frameworks for Cyber Threat Intelligence (CTI) and the early prediction of cyberattacks in Industry 4.0. As digital transformation accelerates through the integration of IoT, …
  openalex Majed Albarrak, Konstantinos Salonitis, Sandeep Jagannath Jagtap 2026-01-07 置信度 0.72 Computer scienceData scienceSystematic reviewDomain (mathematical analysis)Social media
• AI-supported case-based learning in medical education: a comprehensive scoping review
  Introduction: Recent literature indicates that generative artificial intelligence (GenAI) is also being integrated into case-based learning (CBL) through activities such as clinical case generation, clinical reasoning support, and structured feedback. However,…
  openalex Dr Syed Hani Abidi, Joseph Almazan, Olaoluwa Fabiyi, Fatin Zehra 等 2026-03-25 置信度 0.72 Multidisciplinary approachThematic analysisMedical educationPsychologyCurriculum
• Recent Progress in Nanobiosensors for Precise Detection of Blood Glucose Level
  Diabetes mellitus (DM) follows a series of metabolic diseases categorized by high blood sugar levels. Owing to the increasing diabetes disease in the world, early diagnosis of this disease is critical. New methods such as nanotechnology have made significant p…
  openalex Haniye Khosravi Ardakani, Mitra Gerami, Mostafa Chashmpoosh, Navid Omidifar 等 2022-01-17 置信度 0.72 HypoglycemiaDiabetes mellitusArtificial pancreasBlood sugarMedicine
• Systematic Review of Artificial Intelligence in Positive and Existential Psychiatry: Advancing Mental and Emotional Health Through Metacompetency Development
  Background: Positive and existential psychiatry are approaches to mental health that emphasize the promotion of well-being, resilience, and optimal functioning alongside the conventional management of mental illness. Research suggests that the development of s…
  openalex Eleni Mitsea, Athanasios Drigas, Charalabos Skianis 2026-03-19 置信度 0.72 Psychological interventionMental healthPsychologyPsychotherapistEmotional intelligence
• Can algorithms come to the rescue of a failing heart? Machine learning, artificial intelligence, and decision-making in cardiogenic shock
  openalex Alice Bottussi, Patrick M. Wieruszewski, Elena Giovanna Bignami, Justyna Swol 等 2026-03-12 置信度 0.72 Cardiogenic shockMedicineAlgorithmComputer scienceShock (circulatory)
• The Evolution of Intelligent Digital Profiling: A Multi-Sectoral Synthesis of Explainable Artificial Intelligence and Federated Learning Frameworks
  Digital profiling has evolved into a cornerstone of computational intelligence, enabling the synthesis of complex user representations through the systematic analysis of multi-dimensional digital interactions. This study provides a comprehensive investigation …
  openalex Sefer Darıcı, Zekeriya Şahin, Ayla Darıcı 2026-04-02 置信度 0.72 Computer scienceProfiling (computer programming)Bridging (networking)Software deploymentCategorization
• Artificial Intelligence in Child and Adolescent Mental Health: Prevention, Diagnosis, and Treatment in Hybrid Human–AI Care Models
  Mental health disorders among children and adolescents have become increasinglycommon and burdensome, with conditions such as anxiety, depression, suicidality,and trauma-related disorders contributing significantly to disability and death. Whiletimely identifi…
  openalex Nnubia U.I, Nwauzoije E.J 2026-01-13 置信度 0.72 Psychological interventionMental healthIntervention (counseling)Identification (biology)Health care
• A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging
  Hyperspectral imaging enables many versatile applications for its competence in capturing abundant spatial and spectral information, which is crucial for identifying substances. However, the devices for acquiring hyperspectral images are typically expensive an…
  openalex Jingang Zhang, Runmu Su, Qiang Fu, Wenqi Ren 等 2022-07-13 置信度 0.72 Hyperspectral imagingComputer scienceArtificial intelligenceMedical imagingSpectral imaging
• Flight rules for clinical AI: lessons from aviation for human-AI collaboration in medicine
  The parallels between medicine and aviation are well-recognised. The aviation industry's early experience with automation improved safety and efficiency, but simultaneously introduced new vulnerabilities and occasionally created misplaced trust in complex syst…
  openalex Ariel Yuhan Ong, David A. Merle, Andreas Pollreisz, Siegfried K. Wagner 等 2026-01-31 置信度 0.72 AviationParallelsAviation safetyPerspective (graphical)Engineering
• Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
  In this paper, we propose a new method to perform data augmentation in a reliable way in the High Dimensional Low Sample Size (HDLSS) setting using a geometry-based variational autoencoder (VAE). Our approach combines the proposal of 1) a new VAE model, the la…
  openalex Clément Chadebec, Elina Thibeau–Sutre, Ninon Burgos, Stéphanie Allassonnière 2022-06-24 置信度 0.72 AutoencoderArtificial intelligencePattern recognition (psychology)Robustness (evolution)Computer science
• Fluorescence-guided surgery: comprehensive review
  BACKGROUND: Despite significant improvements in preoperative workup and surgical planning, surgeons often rely on their eyes and hands during surgery. Although this can be sufficient in some patients, intraoperative guidance is highly desirable. Near-infrared …
  openalex Paul Sutton, Martijn A. van Dam, Ronan A. Cahill, J. Sven D. Mieog 等 2023-05-05 置信度 0.72 MedicineMedical physicsNarrative reviewImage-guided surgerySurgery
• Canadian Medical Imaging Inventory 2022–2023: MRI
  MRI is a noninvasive imaging modality that uses powerful electromagnetic and radiofrequency fields to produce cross-sectional images of the body. MRI is primarily used for neurologic exams (28%), followed by musculoskeletal (23%) and oncology exams (17%). In t…
  openalex CADTH 2024-08-14 置信度 0.72 MedicinePopulationMagnetic resonance imagingNuclear medicineMedical imaging
• Artificial intelligence-assisted project-based learning: Examining the interaction with learning creativity on the students’ digital content outcomes
  Despite the rapid integration of artificial intelligence (AI) in education, limited empirical evidence compares the effectiveness of AI-assisted project-based learning (PjBL) and problem-based learning (PBL) while considering students’ learning creativity in d…
  openalex Rudi Hartono, Salsabila Adrisdityas Candra Rifani, Muktiono Waspodo 2026-03-06 置信度 0.72 CreativityPsychologyMathematics educationBlended learningPopulation
• Factors Associated with Artificial Intelligence-Help-Seeking Behavior Among University Students in the UAE: A Cross-Sectional Study
  Artificial intelligence (AI)-mediated tools have rapidly penetrated student life and become a valuable resource for seeking help with academic assignments/tasks, psychological problems, and social interactions. This study aims to investigate the levels and ass…
  openalex Othman A. Alfuqaha, Kyle A Msall, Rasha Mohamed Abdelrahman 2026-03-24 置信度 0.72 PsychologyScale (ratio)Interpersonal communicationMarital statusArabic
• Configuration Testing of an Artificial Pancreas System Using a Digital Twin: An Evaluative Case Study
  ABSTRACT The recent growth in popularity of wearable medical devices has improved the quality of life of people with medical conditions. Testing such devices may require users to configure these systems using physical trials, putting themselves in potentially …
  openalex Richard Somers, Neil Walkinshaw, Robert M. Hierons, Daisy Elliott 等 2025-01-30 置信度 0.72 Computer scienceArtificial pancreasWearable computerReliability (semiconductor)Reliability engineering
• Toward Timely Diagnosis of Pancreatic Cancer: Revolutionizing Early Detection Through Genomics, Artificial Intelligence, and Noninvasive Biomarkers
  BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typically diagnosed at an advanced stage due to its subtle and often absent early symptoms. Despite representing only 3% of new cancer cases, it is projected to bec…
  openalex Hussain Ma, Sana Qammar, Ju‐Mei Wang, Aoqiang Zhai 等 2026-02-15 置信度 0.72 MedicineStandardizationIntensive care medicinePrecision medicineMEDLINE
• FI‐Net: Rethinking Feature Interactions for Medical Image Segmentation
  To solve the problems of existing hybrid networks based on convolutional neural networks (CNN) and Transformers, we propose a new encoder–decoder network FI‐Net based on CNN‐Transformer for medical image segmentation. In the encoder part, a dual‐stream encoder…
  openalex Yuhan Ding, Jinhui Liu, Yunbo He, Jinliang Huang 等 2024-05-16 置信度 0.72 Feature (linguistics)SegmentationImage segmentationArtificial intelligenceImage (mathematics)
• Generative artificial intelligence as digital therapy: what do we know and how can we make it better?
  SUMMARY Generative artificial intelligence (GenAI) shows promise for mental healthcare by increasing access to treatment. In this article, we analyse recent evidence on the use of GenAI chatbots as a treatment for common mental disorders. We examine key ethica…
  openalex Santiago Castiello de Obeso, Mariana Pinto da Costa 2026-01-26 置信度 0.72 Generative grammarMental healthcareAllianceComputer scienceKey (lock)
• Robot Path Planning: from Analytical to Computer Intelligence Approaches
  Abstract In an era where robots are becoming an integral part of human quotidian activities, understanding how they function is crucial. Among the inherent building complexities, from electronics to mechanics, path planning emerges as a universal aspect of rob…
  openalex Pedro A. Dias, João Pedro Carvalho de Souza, E. J. Solteiro Pires, Vítor Filipe 等 2025-10-14 置信度 0.72 Motion planningArtificial intelligencePath (computing)Computer scienceRobotics