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Abstract Background Artificial intelligence is increasingly used in health care and medical education. This study aimed to identify factors associated with medical students’ attitudes towards artificial intelligence, with particular attention to digital litera…
europepmc
Nur Demirbas, Hatice Kucukceran, Ozlem Arik
2026
置信度 0.80
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Background Structured generative artificial intelligence (GAI) training has been proposed as an effective approach to strengthen healthcare students' confidence in navigating AI-related challenges and ethical considerations. However, few studies have evaluated…
europepmc
2026
置信度 0.80
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Background Road traffic crashes cause substantial global mortality and disability. Conventional injury severity scores may not fully capture the complex interactions among demographic, clinical, crash and environmental factors. Artificial intelligence and mach…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is entering clinical practice through decision-support systems, predictive tools, generative models, and clinical documentation solutions. Since February 2025, the European AI Act has required providers and deployers of AI systems …
europepmc
João Frutuoso, Ana Rita Maria, Helena Donato, António Vaz Carneiro
2026
置信度 0.80
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To systematically characterize global publication trends, collaboration patterns, intellectual foundations, research hotspots, and emerging frontiers in artificial intelligence (AI)-enhanced robotic and robot-assisted surgery in urology. Publications were retr…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) has been increasingly applied in schizophrenia research, yet a bibliometric overview of its global development and evolutionary trends remains lacking. Methods Based on the Web of Science Core Collection (WoSCC), a bibli…
europepmc
2026
置信度 0.80
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Background The advent of artificial intelligence (AI) presents an opportunity to enhance infection prevention practices. However, its use among infection preventionists (IP) remains unknown. Methods We analyzed responses from IPs participating in the 2025 APIC…
europepmc
2026
置信度 0.80
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Sleep-disordered breathing (SDB), which includes both obstructive and central sleep apnea, is highly prevalent among patients with cardiovascular disease (CVD). Moreover, SDB contributes significantly to the development and progression of hypertension, coronar…
europepmc
2026
置信度 0.80
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Background While bibliometric analyses have examined the adoption of Artificial Intelligence (AI) in general medical education contexts, the specific knowledge structures, collaborative networks, and evolutionary pathways of AI for medical imaging education re…
europepmc
2026
置信度 0.80
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Background Neonatal heart rate (HR) is an important parameter in the evaluation of newborn health and viability in the immediate postnatal period. Aim To evaluate the accuracy, reliability, and clinical applicability of emerging non-contact and artificial inte…
europepmc
2026
置信度 0.80
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Capacitive micromachined ultrasonic transducers (CMUTs) have been extensively investigated for applications in medical imaging and industrial non-destructive testing. However, their relatively low acoustic pressure output remains a major limitation to broader …
europepmc
2026
置信度 0.80
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Background The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence (AI) and machine learning (ML)-enabled medical devices that have received marketing authorization. Prior published analyses examined this list at earlier ti…
europepmc
2026
置信度 0.80
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Abstract Purpose To explore how patients with breast cancer experience, interpret, and use generative artificial intelligence for treatment related decision preparation, and to identify implications for nurse mediated guidance. Methods Face-to-face semi-struct…
europepmc
2026
置信度 0.80
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The retinoblastoma (RB1) gene is a critical tumor suppressor that regulates cell cycle progression and genomic stability. Although RB1 alterations have been reported in hepatocellular carcinoma (HCC), the biological and clinical consequences of biallelic RB1 i…
europepmc
2026
置信度 0.80
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Background Artificial intelligence is increasingly explored in prehospital emergency medical services to support clinical and organisational decision-making, yet its real-world application remains unclear. Objective To map the use of artificial intelligence in…
europepmc
2026
置信度 0.80
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Whole-body magnetic resonance imaging (WB-MRI) has become established for selected clinical indications and is increasingly studied across many fields including but not limited to oncologic, musculoskeletal, pediatric, and computational imaging applications. T…
europepmc
2026
置信度 0.80
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Introduction Artificial Intelligence (AI) is increasingly explored for medical education, and dermatology, with its visual diagnostic focus, holds promise for AIenhanced learning. However, evidence on its educational effectiveness remains limited and fragmente…
europepmc
2026
置信度 0.80
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This systematic review examines factors affecting the improvement of the National Incident Management System (NIMS) in addressing complex disaster risks and management challenges, spanning from January 1, 1980, to February 27, 2025.
pubmed
Ahmadi E, Peyravi M, Marzaleh MA
2026
置信度 0.82
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The rapid expansion of artificial intelligence (AI) in the health sector has intensified the need for a robust regulatory framework capable of safeguarding patient safety, professional accountability, and public trust. We aimed to analyse the European Union Ar…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is increasingly used in clinical medicine. Rheumatology is well-suited to AI applications due to diagnostic complexity of rheumatic diseases, variable disease presentations, and multisystem involvement. This cross-sectional study e…
europepmc
2026
置信度 0.80
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Pharmacology education, often reputed as complex, overtly didactic and decontextualised, may benefit from artificial intelligence-supported strategies. However, current guidance is fragmented across disciplines and contexts, thus weakening evidence-based curri…
europepmc
2026
置信度 0.80
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Abstract Background Generative artificial intelligence, particularly ChatGPT, is progressively transforming medical education by providing accessible and interactive learning-support tools. Despite its potential benefits, its use raises questions regarding the…
europepmc
2026
置信度 0.80
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Background: Artificial intelligence (AI) is reshaping clinical practice and redefining the competencies future physicians will need. International bodies, such as the Association of American Medical Colleges, have called for structured AI training in medical c…
europepmc
Ana Enériz Janeiro, Karina Pitombeira Pereira, Julio Mayol, Javier Crespo 等
2026
置信度 0.80
Medical educationCurriculumHealth informaticsCensusUnit (ring theory)
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Brain cancer is one of the most challenging malignancies and a major contributor to worldwide morbidity and mortality. Glioblastoma, the most aggressive adult brain tumor, is associated with poor prognosis despite conventional therapies such as surgery, chemot…
europepmc
2026
置信度 0.80
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Objectives This study aimed to understand how AI's perceived role interacts with emerging barriers and facilitators to identify factors influencing its adoption across clinical and educational professions in Singapore. Methods This study followed a qualitative…
europepmc
2026
置信度 0.80
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Abstract Background With the increasing use of artificial intelligence systems in medical applications, medical education also needs to adapt to this situation. It is necessary for students to systematically examine their understanding of artificial intelligen…
europepmc
2026
置信度 0.80
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Purpose To characterize Predetermined Change Control Plan (PCCP) adoption and documentation transparency among U.S. Food and Drug Administration (FDA)-cleared radiology artificial intelligence/machine learning (AI/ML)-devices (2015-2025). Materials and Methods…
pubmed
Dayma K, Patel P, Hildreth K, Jamaspishvili T
2026
置信度 0.82
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To characterize global trends in ophthalmic AI research from 2015-2025 and drive transferable insights into the broader evolution of AI in medicine, we conducted a systematic bibliometric analysis of original AI articles in ophthalmology indexed in the Web of …
europepmc
2026
置信度 0.80
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Importance Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented health information systems, and administrative complexity. This Special Communication proposes a framework for …
europepmc
2026
置信度 0.80
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Purpose This study aimed to develop and validate an artificial intelligence (AI) predictive model for postoperative stone-free status (SFS) specifically in patients undergoing mini-percutaneous nephrolithotomy without retrograde insertion of a ureteral cathete…
europepmc
2026
置信度 0.80
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Modern methods of data science have become powerful tools for analyzing complex, heterogeneous biomedical datasets, including those specific to spinal cord injury (SCI), enabling personalized predictions of recovery, identification of prognostic biomarkers, an…
europepmc
2026
置信度 0.80
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Despite high performance of deep learning in medical imaging applications, the critical lack of validated computational metrics for explainable AI (XAI) impedes clinical integration. To address this gap, our study introduces a multi-level validation framework …
pubmed
Cho D, You SH, Kim BK, Pak A 等
2026
置信度 0.82
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Abstract Background Artificial intelligence (AI) has emerged as one of the most rapidly evolving technologies in recent years and is increasingly being integrated into healthcare, education, and everyday life. Examining university students’ attitudes toward th…
europepmc
Batuhan Horasan, Ahmet Ergin, Eda Şenarabacı
2026
置信度 0.80
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Artificial intelligence (AI) is becoming increasingly relevant in nuclear medicine, particularly in applications that depend on quantitative image analysis, image reconstruction, acquisition optimization, and clinical decision support. This critical narrative …
europepmc
2026
置信度 0.80
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This study aims to employ bibliometric analysis methods to systematically review the current research progress, developmental trajectory, and emerging research hotspots in artificial intelligence-integrated robot-assisted spine surgery (AI-RASS), thereby provi…
europepmc
2026
置信度 0.80
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Background Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicator, particularly in low- and middle-income countries (LMICs) where access to cardiac rehabilitation is limited.…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) is increasingly integrated into healthcare information systems, supporting clinical decision-making, imaging analysis, and predictive modeling. While these applications offer operational and clinical benefits, they also …
europepmc
2026
置信度 0.80
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Background The improvement of global health literacy depends on health professionals having effective public science communication capabilities. However, worldwide, medical education systems still largely lack training in science communication for medical stud…
europepmc
2026
置信度 0.80
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Objectives Artificial intelligence (AI) and machine learning applications are rapidly expanding across healthcare. Successful implementation of AI technologies in rheumatology will depend not only on technical performance but also on the perceptions and prepar…
europepmc
2026
置信度 0.80
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Background The integration of artificial intelligence into healthcare is rapidly transforming clinical practice. Nurses' acceptance of artificial intelligence is influenced by their digital literacy and ethical awareness, yet empirical evidence examining these…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is increasingly applied in clinical practice to enhance prediction of postoperative outcomes. This systematic review evaluated the performance and clinical relevance of AI-based prognostic models for patients undergoing percutaneou…
pubmed
Padooiy Nooshabadi M, Shakiba B, Akbarnataj H, Saniee N
2026
置信度 0.82
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Background Evaluation of medical education is essential for ensuring the quality of health professional training. However, conventional evaluation approaches often lack objectivity, scalability, and longitudinal assessment capacity. Virtual reality (VR) and ar…
europepmc
2026
置信度 0.80
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Accurate risk stratification in localized prostate cancer is essential for guiding treatment decisions. Conventional National Comprehensive Cancer Network (NCCN) risk groups rely on prostate-specific antigen (PSA), Gleason grade group, and clinical stage, whil…
pubmed
Hassan WA, Meligy OAE, Talaat IM
2026
置信度 0.82
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Artificial intelligence (AI) holds significant promise for electrocardiogram (ECG) analysis, yet accurately detecting non-ST-segment elevation myocardial infarction (NSTEMI) and overcoming the "black box" nature of deep learning models remain persistent challe…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) has increasingly been applied to medical imaging, yet its role in lumbar spine radiography, particularly in low-resource settings, remains underexplored. Objective To evaluate recent developments in AI-based approaches f…
europepmc
2026
置信度 0.80
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The rapid advancement of digital technologies has transformed traditional mechanisms of epidemiological surveillance and response, giving rise to an interdisciplinary field known as digital epidemiology. This study presents a scientometric mapping of the main …
europepmc
2026
置信度 0.80
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Background Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intelligence (AI) could improve diagnostic accuracy, workflow efficiency, and access, but real-world adoption is early.…
europepmc
2026
置信度 0.80
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Background Patients increasingly use generative AI to interpret symptoms and seek health information, yet limited evidence shows how AI-assisted self-diagnosis is integrated into care-seeking and related to clinical interactions and patient-physician relations…
europepmc
2026
置信度 0.80
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Background and aims Differentiating odontogenic keratocyst (OKC) from other radiolucent jaw lesions like ameloblastoma is clinically important but radiographically difficult. Recent advances in artificial intelligence (AI) show promise for enhancing diagnosis …
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) is increasingly reshaping medical and health-professions education through adaptive tutoring, generative content creation, simulation analytics, automated assessment, and diagnostic-reasoning support. Since 2023, large l…
europepmc
2026
置信度 0.80
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Problem Diagnostic reasoning, the cognitive process of interpreting clinical information to arrive at a diagnosis, is a critical competency in medical education, and has been taught using authentic methods such as standardized patients and peer role-playing th…
europepmc
2026
置信度 0.80
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Background/aims Patients have largely been excluded from discussions on the use of their health data in developing medical artificial intelligence (AI), despite being directly affected by its integration into care. This study assessed ophthalmology patients' p…
europepmc
2026
置信度 0.80
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Robot-assisted radical cystectomy (RARC) is a complex procedure that requires patients to understand surgical indications, urinary diversion, perioperative treatment, complications, recovery, and long-term functional outcomes. Although artificial intelligence …
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Abstract Background Artificial intelligence (AI) is rapidly transforming medicine, yet medical curricula, particularly in low- and middle-income countries, have not systematically integrated AI competencies. Understanding medical students' AI use, competence, …
europepmc
2026
置信度 0.80
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Radiological reporting is a central component of clinical decision-making and a patient safety-critical system.Radiology reports inform diagnosis, guide therapeutic decisions and shape interdisciplinary communication; deficiencies in how imaging findings are d…
europepmc
2026
置信度 0.80
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We are racing towards a time wherein the largest demographic of the population will be comprised of older adults and where it is now also possible to measure, monitor, and diagnose long term risk factors and provide effective and valuable preventative interven…
europepmc
2026
置信度 0.80
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ABSTRACT Background Artificial intelligence (AI), including generative and foundation-based methods, has rapidly expanded within medical imaging research. However, the structure, citation impact, collaboration patterns, and thematic orientation of national res…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures.
pubmed
Lai NM, Yeo KT, Kong JY, Duan M 等
2026
置信度 0.82
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Attention toward Chat Generative Pre-trained Transformer (ChatGPT) has greatly increased, including in the medical field, but concerns about its problem-solving ability, accuracy, reliability, and limitations in medical problems always coexist. This study aime…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) has rapidly transformed clinical practice by improving diagnostic accuracy and enhancing decision-making processes. However, its growing role in patient care raises profound ethical concerns regarding patient autonomy. T…
europepmc
2026
置信度 0.80
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Background Cervical cancer continues to be the second most prevalent type of cancer in women globally, especially in the less developed areas. Among several screening methods Pap test, more popularly known as the Papanicolaou test or Pap smear, is one of the m…
europepmc
2026
置信度 0.80
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Introduction Fracture misdiagnosis is a common diagnostic error in emergency departments (EDs) and minor injury units (MIUs), leading to poor patient outcomes, unnecessary treatments and significant healthcare costs. Artificial intelligence (AI)-assisted fract…
europepmc
2026
置信度 0.80
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Background: Artificial intelligence is increasingly influencing health care and policy, yet the global research landscape linking artificial intelligence and health care policy remains underexplored. This study aimed to map publication trends, major contributo…
pubmed
Rashidian P, Heidarzad-Pahlaviani F, Moghimnejadhosseini S, Chellapuram N 等
2026
置信度 0.82
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Background : Artificial intelligence offers transformative potential for nursing practice, yet significant barriers hinder adoption. While existing research has documented challenges among practicing nurses, limited evidence exists regarding nursing students' …
europepmc
2026
置信度 0.80
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Aim This study aimed to map evidence regarding the role of generative artificial intelligence (GenAI) in developing higher-order thinking skills (HOTS) among nursing students. Background GenAI is revolutionizing medical education by enabling innovative pedagog…
europepmc
2026
置信度 0.80
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Background Children's physiological development is immature, their symptoms are hidden and their diagnostic fault tolerance window is low, so they are the key protected population of public health. Although pediatric AI can alleviate the shortage of medical re…
europepmc
2026
置信度 0.80
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Background Artificial intelligence is an increasingly valuable tool in ischemic stroke management. This systematic review and meta-analysis evaluated the effect of artificial intelligence implementation on stroke workflow metrics. Methods PubMed, EMBASE, OpenE…
europepmc
2026
置信度 0.80
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Background/aim To determine the comparative efficacy of trained versus untrained generative artificial intelligence platforms in providing multiple-choice questions on traumatic dental injuries in a pediatric dentistry curriculum. Material and methods In this …
europepmc
2026
置信度 0.80
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Purpose Strabismus diagnosis and management remain subjective due to variable measurement techniques and lack of standardized surgical criteria. Artificial intelligence (AI) has shown potential in ophthalmology, but its clinical translation in strabismus is un…
europepmc
2026
置信度 0.80
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BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder that necessitates early, accessible, and non-invasive diagnostic methods.ObjectiveThis review examines the potential of artificial intelligence (AI)-based retinal imaging as a trans…
europepmc
2026
置信度 0.80
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Background While artificial intelligence's (AI's) transformative potential in health care is widely acknowledged, its application in highly sensitive, humanistic domains like pediatric palliative care (PPC) remains largely unexplored. Objective This study aims…
europepmc
2026
置信度 0.80
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The development of PVA hydrogels for cartilage repair is limited by the challenge of simultaneously combining high mechanical strength with high water content. To address this, a "Dual-Stage Temperature-Controlled Crystallization Quenching Method" is proposed.…
europepmc
2026
置信度 0.80
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Background Traditional clinical skills training faces challenges such as limited standardized patient resources, high costs of simulation equipment, and restricted opportunities for repeated practice. Generative artificial intelligence (GAI), particularly larg…
europepmc
2026
置信度 0.80
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Accurate and continuous electrocardiogram (ECG) parameter measurement outside hospital environments is essential for real-time cardiac health monitoring and telemedicine, yet comprehensive validation of on-device computational methods across heterogeneous real…
europepmc
2026
置信度 0.80
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Background: The public release of generative artificial intelligence (AI) tools in late 2022 has spurred rapid interest in preparing health professionals to understand, use, and critically appraise AI. "AI literacy" has emerged as a focal construct, yet the re…
europepmc
2026
置信度 0.80
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Background Generative artificial intelligence (GenAI) has rapidly entered higher education, prompting universities to publish policies and guidance for its responsible use. Little is known about how GenAI is governed within Health Informatics and related progr…
europepmc
2026
置信度 0.80
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Objective To prospectively evaluate the diagnostic performance of an AI-enabled digital stethoscope in detecting cardiac murmurs and arrhythmias compared to fourth-year veterinary students and experienced clinicians. Methods Dogs and cats presenting to a unive…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) can support and enhance radiologists in musculoskeletal imaging, but evidence of clinical benefit is still lacking. This prospective study aimed to estimate the range of expected effect size on patient recall rates whether after im…
pubmed
Deffaa OJ, Pape J, Schlösser D, Hirsch FW 等
2026
置信度 0.82
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Introduction A 3D interactive report is a state-of-the-art artificial intelligence (AI) tool that integrates a patient's imaging history into an intuitive visualisation. Yet, despite the many potential benefits to patients, referring physicians, and the health…
europepmc
2026
置信度 0.80
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Robot-assisted biopsy techniques achieve precise minimally invasive sampling of deep-seated and anatomically complex lesions through stable robotic manipulation, intelligent path planning, and multimodal imaging fusion. These techniques have accumulated substa…
europepmc
2026
置信度 0.80
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Objectives Artificial intelligence (AI) has demonstrated potential to enhance clinical efficiency. However, its real-world adoption among pediatric gastroenterologists (GIs) remains poorly characterized. The primary objective of this study was to assess how pe…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is being rapidly and broadly introduced into personal, public, commercial and health/medical practice settings. AI refers to a broad and evolving set of computational technologies, including machine learning, natural language proce…
pubmed
Nagle L, Strudwick G, Jeffs L, Donelle L 等
2026
置信度 0.82
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Background The rapid introduction of AI into clinical practice shifts how we must teach resident trainees so they may become ethical patient-facing clinicians in an AI-integrated healthcare system. Currently, few published innovations assess outcomes beyond le…
europepmc
2026
置信度 0.80
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Introduction Problem-based learning (PBL) has been a cornerstone of medical education since its introduction at McMaster University in the 1960s. Since the public release of ChatGPT in November 2022, artificial intelligence (AI) tools have increasingly been ap…
europepmc
2026
置信度 0.80
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Introduction Artificial intelligence (AI) models applied to non-contrast brain computed tomography (CT) scan have demonstrated promising performance in hematoma detection, segmentation, and outcome prediction. Explainable artificial intelligence (XAI) has been…
europepmc
2026
置信度 0.80
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Marzouk et al. reviewed 147 studies on artificial intelligence (AI) applications for predicting drug-drug, drug-disease, and drug-nutrient interactions, providing a broad overview of current machine learning and deep-learning approaches. However, several metho…
europepmc
2026
置信度 0.80
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Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity to diagnose. There is a clinical need for automated artificial intelligence (AI) algorithms to act as a screening aid to assist with t…
europepmc
2026
置信度 0.80
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Objective To evaluate the impact of smart healthcare consortium management practices, utilizing artificial intelligence (AI) to enhance healthcare service quality and operational efficiency at Dapeng Medical Group, Shenzhen. Design A case study analysis of sma…
europepmc
2026
置信度 0.80
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Cardiovascular imaging plays a key role both in diagnosis and in management strategies of most cardiovascular diseases. In line with the rapidly growing role of artificial intelligence (AI) in cardiology,1 several issues related to the implementation and usefu…
europepmc
2026
置信度 0.80
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Background The increasing burden of clinical documentation contributes to physician inefficiency and burnout, with electronic health record implementation significantly increasing documentation time from 16% to 28% of clinical time. While human medical scribes…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) is being gradually integrated into clinical nursing practice, where it plays an important role in improving nursing quality, reducing nurses' workload, and promoting the intelligent transformation of nursing. Nurses' att…
europepmc
2026
置信度 0.80
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Background Recent advances in large language models (LLMs) such as GPT-3/4 have spurred the development of artificial intelligence (AI) chatbots and advisory tools in medicine. These systems are posited to assist or augment physician-patient communication, pot…
europepmc
2026
置信度 0.80
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Oligometastatic disease (OMD) is considered an intermediate state between localized disease and widely metastatic disease, offering selected patients with metastatic esophageal cancer the possibility of long-term survival and even potential cure. In recent yea…
europepmc
2026
置信度 0.80
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Early analysis is a necessity for the more effective treatment of cancers. In gynaecological cancers, like endometrial, ovarian, and cervical cancers, the current efforts are aimed at discovering new analytical biomarkers to help decrease the global health bur…
europepmc
2026
置信度 0.80
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Background Graduate medical education trainees increasingly use artificial intelligence tools without formal training. This study quantifies the gap between artificial intelligence exposure and readiness and examines attitudes, preferences, and barriers to gui…
europepmc
2026
置信度 0.80
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Osteonecrosis of the femoral head (ONFH) is a progressive and potentially disabling condition caused by compromised blood supply to the femoral head, leading to bone necrosis and collapse. Early diagnosis is essential to enable joint-preserving interventions a…
europepmc
2026
置信度 0.80
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Background and aims Both artificial intelligence (AI) and mucosal exposure devices (MEDs) have been shown to improve adenoma detection rate and reduce miss rate during colonoscopy. However, the effectiveness of AI combined with MEDs remains unclear. In this me…
europepmc
2026
置信度 0.80
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ObjectiveWith increasing emphasis on value-based healthcare and rising costs, it is essential to assess the economic impact of artificial intelligence (AI). This study systematically reviews the evidence on the cost-effectiveness of AI applications in healthca…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI)-based nursing interventions are increasingly being used to manage chronic illnesses; however, their definitive impact on clinical outcomes remains inconclusive, necessitating a comprehensive evidence synthesis. Objective…
europepmc
2026
置信度 0.80