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The rapid development of artificial intelligence (AI) technologies is opening up new opportunities for dental marketing. This literature review analyzes relevant publications on the use of AI in the promotion of dental clinics and services. Key areas of applic…
datacite
Bakhtiyorova, Nigorakhon, Musayev, Ulugbek, Xaydarova, Muxayyo
2026
置信度 0.66
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The rapid development of artificial intelligence (AI) technologies is opening up new opportunities for dental marketing. This literature review analyzes relevant publications on the use of AI in the promotion of dental clinics and services. Key areas of applic…
datacite
Bakhtiyorova, Nigorakhon, Musayev, Ulugbek, Xaydarova, Muxayyo
2026
置信度 0.66
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Pharmacovigilance focuses on monitoring the safety of medicines by identifying, evaluating, and preventing adverse drug reactions after a drug is introduced into clinical use. Adverse drug reactions are unintended and harmful effects that may occur following t…
datacite
Mrs. Deepa Chaudhary1, Pankaj Kumar Prajapati2*, Sagar Shukla3, Tarun Namdev4
2026
置信度 0.66
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Pharmacovigilance focuses on monitoring the safety of medicines by identifying, evaluating, and preventing adverse drug reactions after a drug is introduced into clinical use. Adverse drug reactions are unintended and harmful effects that may occur following t…
datacite
Mrs. Deepa Chaudhary1, Pankaj Kumar Prajapati2*, Sagar Shukla3, Tarun Namdev4
2026
置信度 0.66
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1 INTRODUCTION The consolidation of the Brazilian Unified Health System (SUS) brought with it the need to develop instruments capable of recording, organizing, and providing information to support health management (Lima et al., 2009). Since its creation, SUS …
datacite
Fonte, Danyelle Oliveira, de Sene Amâncio Zara, Ana Laura
2025
置信度 0.66
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www.bjdre.org Home About the Journal Journal Committe Instruction to Author Archives (BADI)® About the Journal Bangladesh Journal of Dental Research & Education (BJDRE) is the official publication of the Bangladesh Academy of Dentistry International (BADI)®. T…
datacite
BJDRE
2011
置信度 0.66
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www.bjdre.org Home About the Journal Journal Committe Instruction to Author Archives (BADI)® About the Journal Bangladesh Journal of Dental Research & Education (BJDRE) is the official publication of the Bangladesh Academy of Dentistry International (BADI)®. T…
datacite
BJDRE
2011
置信度 0.66
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This scoping review was conducted following the PRISMA-ScR guidelines to map existing literature on the role of artificial intelligence, particularly large language models, in enhancing scientific creativity within medical sciences. A systematic search was per…
datacite
Koirala, Diwakar
2026
置信度 0.66
Medicine and Health SciencesCreativityLarge Language ModelMedicine
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Traditional cancer diagnosis is often hindered by subjective interpretation, high costs, and significant false-negative rates, which can delay vital early-stage detection and reduce patient survival rates. To address these limitations, Artificial Intelligence …
datacite
Das, Sahil
2026
置信度 0.66
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Traditional cancer diagnosis is often hindered by subjective interpretation, high costs, and significant false-negative rates, which can delay vital early-stage detection and reduce patient survival rates. To address these limitations, Artificial Intelligence …
datacite
Das, Sahil
2026
置信度 0.66
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The rapid integration of Artificial Intelligence (AI) and Large Language Models (LLMs) has fundamentally transformed medical education, driving a transition from traditional teaching methodologies toward dynamic, highly personalized learning environments [1, 2…
datacite
Chaves, Natalia Castaño, Rincon, Erwin Hernando Hernandez
2026
置信度 0.66
Medicine and Health Sciences
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The rapid development of artificial intelligence (AI) technologies is opening up new opportunities for dental marketing. This literature review analyzes relevant publications on the use of AI in the promotion of dental clinics and services. Key areas of applic…
datacite
Bakhtiyorova, Nigorakhon, Musayev, Ulugbek, Xaydarova, Muxayyo
2026
置信度 0.66
-
The rapid development of artificial intelligence (AI) technologies is opening up new opportunities for dental marketing. This literature review analyzes relevant publications on the use of AI in the promotion of dental clinics and services. Key areas of applic…
datacite
Bakhtiyorova, Nigorakhon, Musayev, Ulugbek, Xaydarova, Muxayyo
2026
置信度 0.66
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Recent breakthroughs in artificial intelligence through foundation models and agents have accelerated the evolution of computational pathology. Demonstrated performance gains reported across academia in benchmarking datasets in predictive tasks such as diagnos…
datacite
Da, Qian, Chen, Yijiang, Ju, Min, Ji, Zheyi 等
2026
置信度 0.66
Computational Engineering, Finance, and Science (cs.CE)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
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The rapid global expansion of artificial intelligence (AI), particularly generative models, drives energy-intensive data centers with substantial environmental and public health costs. This narrative review synthesizes information obtained from the scientific …
preprints
2026
置信度 0.74
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The pharmaceutical, biotechnology, and medical device industries are undergoing a paradigm shift as artificial intelligence (AI) and machine learning (ML) technologies are increasingly integrated into analytical method development, validation, and lifecycle ma…
preprints
2026
置信度 0.74
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The adoption of AI technologies in rehabilitation is transforming physiotherapy, enabling more accurate, streamlined, and personalized treatment strategies. While virtual reality (VR) and robotics have already brought significant advancements to the field, AI …
preprints
2026
置信度 0.74
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Background Gaps in care (GIC) among patients with congenital heart disease (CHD) are associated with adverse outcomes, yet the specific social and healthcare-related factors contributing to GIC and the clinical consequences of delayed re-engagement in care rem…
preprints
2026
置信度 0.74
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Artificial intelligence (AI), particularly in the form of large language models (LLMs) or chatbots, has become increasingly integrated into our daily lives. In the past five years, several LLMs have been introduced, including ChatGPT by OpenAI, Claude by Anthr…
preprints
2026
置信度 0.74
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Assessment plays a central role in medical education by evaluating learners’ knowledge, skills, and professional competencies. While multiple-choice questions (MCQs) are widely used due to their efficiency and broad content coverage, they primarily assess reca…
preprints
2026
置信度 0.74
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The rapid proliferation of next-generation sequencing (NGS) technologies has generated an unprecedented volume of genomic data, yet a substantial fraction of these sequenced genomes remains functionally uncharacterized, a phenomenon collectively termed genomic…
preprints
2026
置信度 0.74
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Modern insurance organizations have adopted artificial intelligence in narrow, task-specific roles, resulting in fragmented systems that optimize isolated functions without fundamentally reshaping the underwriting and claims lifecycle. This “incrementalism” yi…
preprints
2026
置信度 0.74
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The work of anesthesiologists–intensivists, critical care specialists, and medical emergency teams is multifaceted and complex, with airway management representing a cornerstone and a common denominator of many procedures and interventions. Tracheal intubation…
preprints
2026
置信度 0.74
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Abstract The meaning of “medicine” has received very little systematic attention. This scoping review summarizes published English-language efforts to define or conceptualize “medicine” and serves as a baseline for an era in which generative artificial intelli…
preprints
2026
置信度 0.74
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The prevalence of multiple long-term conditions (MLTCs) is associated with increased healthcare utilisation and an elevated risk of unplanned 30-day hospital readmission. Existing prediction tools predominantly focus on single-disease cohorts and fail to captu…
preprints
2026
置信度 0.74
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Cardiovascular diseases (CVDs) remain the foremost cause of global morbidity and mortality, driving an urgent need for robust predictive tools that enable early detection and preventive intervention. Traditional regression-based models—such as linear and logis…
preprints
2026
置信度 0.74
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Despite decades of interventions targeting modifiable risk factors to reduce the burden of cardiovascular disease, ischemic heart disease (IHD) remains the leading cause of mortality and the second leading cause of disabilityadjusted lifeyears worldwide. Growi…
preprints
2026
置信度 0.74
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Background Population-based cancer registers (PBCR) are important for monitoring trends in cancer epidemiology, facilitating the implementation of effective cancer services. Adolescents and Young Adult (AYA) with cancer are a patient group with a unique set of…
preprints
2026
置信度 0.74
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Abstract Integrated management of childhood illness (IMCI) guidelines have high sensitivity but low specificity for pneumonia diagnosis. Artificial intelligence (AI)-enabled digital stethoscopes capable of analyzing lung sounds may improve IMCI diagnostic perf…
preprints
2026
置信度 0.74
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Background: /Objectives: Digital health encompasses telemedicine, mobile health (mHealth), wearable technologies, big data analytics, artificial intelligence (AI), machine learning (ML), and immersive technologies. In oncology, where care is complex, multidisc…
preprints
2026
置信度 0.74
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Retrieval-augmented generation (RAG) holds promise for supporting high-stakes medical decision-making. However, most research has focused on downstream optimization of parameters and algorithms. This Phase 1 foundational study quantitatively evaluated the upst…
preprints
2026
置信度 0.74
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Objective Ambient artificial intelligence (AI) documentation is increasingly used to draft clinical notes from patient-provider conversations, but how clinicians revise and finalize these drafts is not well understood. This qualitative content analysis study c…
preprints
2026
置信度 0.74
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Abstract Gastrointestinal diseases affect 2.86 billion people globally, with capsule endoscopy (CE) providing crucial diagnostics but requiring manual review of over 60,000 frames per examination, a process associated with 17.4% disease miss rates. While artif…
preprints
2026
置信度 0.74
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Sudden cardiac death risk is 2-3-fold higher in athletes than in non-athletes. We classify sports-related cardiac arrhythmias using a novel explainability framework comprising data analysis, model interpretability, post-hoc visualisation, and systematic assess…
preprints
2026
置信度 0.74
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ABSTRACT As of early 2026, over 115 million US adults (more than 1 in 3) have prediabetes, a condition with an annual conversion rate of 5%–10% to type 2 diabetes. Total diabetes (diagnosed and undiagnosed) affects approximately 40.1 million Americans, or 12% …
preprints
2026
置信度 0.74
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Abstract BACKGROUND Historically, community-based care has served as a foundation of health service delivery in resource-constrained settings. However, shifting demographics, rising chronic diseases burdens, and digital transformations increasingly challenge t…
preprints
2025
置信度 0.74
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Abstract Background Painstaking manual chart review of EHRs is still the chief bottleneck in retrospective studies, especially when rare-disease cohorts demand high specificity. Automated NLP rankers help, yet when trained on dated data they leave teams guessi…
preprints
2025
置信度 0.74
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Background: Generative artificial intelligence (GenAI) in healthcare may reduce administrative burden and enhance quality of care. Large language models (LLMs) can generate draft responses to patient messages using electronic health record (EHR) data. This cou…
preprints
2026
置信度 0.74
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The integration of Artificial Intelligence (AI) agents into healthcare represents a paradigm shift in medical diagnostics, enabling autonomous systems that leverage multimodal data fusion, advanced machine learning architectures, and clinical reasoning engines…
preprints
2025
置信度 0.74
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Artificial Intelligence (AI) is definitely a transformative tool in orthopedic oncology, enabling advancements in the diagnosis, classification, and treatment response prediction of primary malignant bone tumors (PBT). AI, particularly machine learning and dee…
preprints
2025
置信度 0.74
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Abstract Background: The integration of artificial intelligence (AI) into dental education offers transformative potential for enhancing learning outcomes, clinical training, and institutional efficiency. However, rapid AI adoption introduces ethical, logistic…
preprints
2025
置信度 0.74
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We conducted a scaling evaluation of unlabeled pretraining for electrocardiogram foundation model performance. One-dimensional vision transformer (1D-ViT) masked autoencoders were pretrained across increasing ECG volumes and fine-tuned for rhythm, morphology, …
preprints
2026
置信度 0.74
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Introduction Fetal monitoring is a crucial component of antenatal care, facilitating early detection of fetal compromise and improving pregnancy outcomes. Traditional monitoring methods such as cardiotocography (CTG) and ultrasound are effective but primarily …
preprints
2025
置信度 0.74
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Abstract Background. Artificial intelligence (AI) is transforming healthcare, but its benefits have not been equitably distributed, with children being particularly overlooked. Only 17% of FDA-approved medical AI devices are labeled for pediatric use. We hypot…
preprints
2025
置信度 0.74
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Background Coeliac disease (CD) diagnosis on duodenal biopsies is limited by interobserver variability. We have previously demonstrated pathologist-level performance with our artificial intelligence (AI) model for the histopathological diagnosis of adult CD, b…
preprints
2026
置信度 0.74
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Background Large Language Models (LLMs) represent an ever-emerging and rapidly evolving generative artificial intelligence (AI) modality with promising developments in the field of medical education. LLMs can provide automated feedback services to medical trai…
preprints
2025
置信度 0.74
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Musculoskeletal disorders (MSDs) affect over 1.7 billion people globally and rep-resent the leading cause of disability worldwide. Conventional rehabilitation strate-gies face challenges including limited accessibility, suboptimal adherence, and lack of person…
preprints
2025
置信度 0.74
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Object detection represents a foundational capability in Artificial Intelligence (AI), enabling machines to interpret visual environments through precise object localization and classification. This comprehensive review chronicles the revolutionary evolution o…
preprints
2025
置信度 0.74
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Abstract The fourth United Nations Sustainable Development Goal (SDG-4) seeks to ensure inclusive and equitable quality education and pursue lifelong learning opportunities for everyone. In medical education, the incorporation of Artificial Intelligence (AI) a…
preprints
2025
置信度 0.74
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ABSTRACT Introduction The management of cancer care generates vast amounts of data, collected in the clinical registry; however, the interpretation of these unstandardized and heterogeneous records is often challenging. Artificial intelligence (AI) is emerging…
preprints
2025
置信度 0.74
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Multimodal generative artificial intelligence (AI) has emerged as a transformative technology in clinical diagnostics, integrating diverse data sources—medical imaging, genomic profiles, clinical narratives, and electronic health records—to significantly enhan…
preprints
2025
置信度 0.74
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Abstract Background: This case describes a substance-induced manic episode with psychotic features in which interaction with an AI (artificial intelligence) chatbot appeared to corroborate and reinforce the patient’s delusional thought content and to contradic…
preprints
2026
置信度 0.74
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Background: Aesthetic medicine is evolving rapidly, driven by the convergence of patient-centered care and technological advancements. This literature review synthesizes current trends and future directions, emphasizing the shift from procedure-centric to holi…
preprints
2025
置信度 0.74
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Abstract Background As critical care medical education advances within a competency-based framework, effective assessment strategies are essential to ensure trainees acquire the necessary skills for high-stakes situations. Despite growing interest, assessment …
preprints
2025
置信度 0.74
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Introduction Considering numerous radiological images and the heavy workload of writing corresponding reports in clinical work, it is significant to leverage artificial intelligence (AI) to facilitate this process and reduce the burden of radiologists. In the …
preprints
2025
置信度 0.74
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Maternal and child health (MCH) represents a critical domain requiring accurate, timely, and data-driven decision-making to optimize outcomes from pregnancy through early childhood. Foundation models (FMs) are large pre-trained artificial intelligence models t…
preprints
2025
置信度 0.74
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Background Health care organizations are increasingly required to make strategic decisions about artificial intelligence (AI) systems before their clinical value, operational consequences, governance requirements, and workforce implications are fully known. Cl…
preprints
2026
置信度 0.74
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Artificial intelligence (AI), particularly in the form of large language models (LLMs) or chatbots, has become increasingly integrated into our daily lives. In the past five years, several LLMs have been introduced, including ChatGPT by OpenAI, Claude by Anthr…
preprints
2025
置信度 0.74
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The global management of infectious diseases, from pandemics to antimicrobial resistance, remains a critical public health challenge. This comprehensive review paper synthesizes the emerging paradigm of Agentic Artificial Intelligence (AI) for infectious disea…
preprints
2025
置信度 0.74
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Abstract Background : Adapting evidence-based interventions (EBIs) to fit local contexts while preserving fidelity to core mechanisms is challenging, particularly for complex, multicomponent interventions. The Core Functions and Forms (CFF) model distinguishes…
preprints
2026
置信度 0.74
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Introduction Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired through an ophthalmoscope for triage of patients with potential intracranial pathology could prove to be beneficial, particularly in resource-limite…
preprints
2025
置信度 0.74
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Abstract Pelvic ultrasound is the principal imaging modality for evaluating the female reproductive tract, yet its clinical utility is constrained by substantial inter-observer variability and dependence on operator expertise. The anatomical complexity and phy…
preprints
2026
置信度 0.74
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Artificial intelligence (AI), particularly in the form of large language models (LLMs) or chatbots, has become increasingly integrated into our daily lives. In the past five years, several LLMs have been introduced, including ChatGPT by OpenAI, Claude by Anthr…
preprints
2025
置信度 0.74
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Abstract Introduction: Ambient voice technologies (AVT) utilise automatic speech recognition (ASR) to convert speech into text and are advocated as efficient, accurate tools for documenting the clinical record. Method: We evaluated eight contemporary AVT for s…
preprints
2026
置信度 0.74
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Multimodal generative artificial intelligence (AI) has emerged as a transformative approach in medical diagnostics, integrating diverse data sources to significantly enhance clinical decision-making and patient care. In this review, we systematically analyze r…
preprints
2025
置信度 0.74
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Abstract Retinal age is a biological ageing marker estimated from retinal images. Its deviation from chronological age, termed the retinal age gap (RAG), has been associated with adverse health outcomes. However, fundamental characteristics of retinal age mode…
preprints
2026
置信度 0.74
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The integration of artificial intelligence (AI) and machine learning (ML) into medical practice marks a transformative shift within healthcare delivery, diagnostics, and treatment paradigms. Although AI systems exhibit sophisticated capabilities in image recog…
europepmc
2026
置信度 0.80
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Generative artificial intelligence (AI) is beginning to reshape medical research, with ophthalmology at the forefront of this transformation. This narrative review examines the ethical considerations and challenges of using generative AI - particularly Generat…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is being rapidly but unevenly integrated into many aspects of medicine as well as society more broadly. This review focuses on recent developments in AI through the lens of how it is affecting the field of pediatric genomics.
pubmed
Meltzer JA, Solomon BD
2026
置信度 0.82
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Prostate-specific membrane antigen positron emission tomography (PSMA-PET) has become pivotal in prostate cancer (PCa) management, offering superior sensitivity over conventional imaging for detecting tumors, metastases, and biochemical recurrence. However, in…
europepmc
2026
置信度 0.80
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Background Artificial intelligence is increasingly being integrated into healthcare education and simulation-based education. However, its role in supporting the debriefing phase of simulation remains underexplored and inconsistently described. This scoping re…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is rapidly integrating into clinical radiology. As primary diagnosticians, radiologists increasingly interpret AI-generated analyses and are expected to oversee the monitoring and governance of deployed AI systems. Although AI lite…
pubmed
Vega Lara F, Koopmans LD, Roest C, Turkbey B 等
2026
置信度 0.82
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Purpose of review Gastrointestinal (GI) cancers are among the most common malignancies worldwide and impose a substantial symptom burden from diagnosis through survivorship. Despite advances in systemic therapies and surgical approaches, patients continue to e…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) predictive models demonstrate potential for transforming clinical decision-making across medicine. However, conventional randomized controlled trials (RCTs), the gold standard for evaluating medical interventions, are ill-suited fo…
europepmc
2026
置信度 0.80
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Background The integration of artificial intelligence (AI) into healthcare has shown significant promise in addressing complex diagnostic and therapeutic challenges in rheumatology. This review examines the current state of AI applications across rheumatologic…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) has rapidly advanced in breast cancer imaging, demonstrating high diagnostic and predictive performance across imaging modalities. However, the clinical reliability and translational readiness of these models remain uncertain due t…
europepmc
2026
置信度 0.80
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Echocardiography is one of the most commonly used diagnostic methods in cardiovascular diseases because it is non-invasive, widely available, and capable of providing real-time assessment of function and cardiac structure. Despite these advantages, conventiona…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is reshaping clinical practice, yet formal AI education in medical curricula has lagged significantly behind-a gap particularly acute in low- and middle-income countries (LMICs). This narrative review examines AI integration in med…
europepmc
2026
置信度 0.80
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Prakriti, the Ayurvedic concept of individual somatic constitution, forms the foundation for personalized preventive and therapeutic strategies by classifying individuals based on distinctive physical, physiological, and psychological attributes. Traditional m…
europepmc
2026
置信度 0.80
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This review examines artificial intelligence (AI) applications in ultrasound imaging for carpal tunnel syndrome diagnosis. Deep learning models have achieved Dice coefficients exceeding 0.85 for median nerve segmentation and diagnostic accuracy with area under…
europepmc
2026
置信度 0.80
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Spontaneous intracerebral hemorrhage (ICH) is a highly lethal and disabling form of stroke, in which hematoma expansion (HE) is a major and potentially modifiable determinant of early neurological deterioration and poor functional outcome. Computed tomography …
europepmc
2026
置信度 0.80
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Dental caries remains the most prevalent chronic disease worldwide, affecting more than two billion people and driving substantial healthcare costs. While early detection is central to minimally invasive dentistry, traditional diagnostic methods suffer from li…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Background Low Birth Weight (LBW), defined as Methods Following PRISMA guidelines, Scopus, Web of Science, and PubMed were searched for studies utilizing AI/ML for LBW. Methodological quality was assessed via the PROBAST tool. Due to extreme statistical hetero…
europepmc
2026
置信度 0.80
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Traumatic dental injuries require rapid, accurate, and context-sensitive decisions, particularly during emergencies such as tooth avulsion, luxation injuries, and trauma involving the primary dentition. Artificial intelligence (AI) chatbots and large language …
europepmc
2026
置信度 0.80
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Early identification of acute myocardial infarction (AMI) remains challenging, particularly in non-ST-segment elevation presentations and occluded myocardial infarction, where conventional electrocardiogram (ECG) interpretation has limited sensitivity. Artific…
europepmc
2026
置信度 0.80
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Objectives Early detection of upper gastrointestinal (UGI) neoplasms is challenging because of their subtle endoscopic features. Artificial intelligence (AI) has improved endoscopic imaging and lesion recognition. This meta-analysis aimed to assess the effecti…
europepmc
2026
置信度 0.80
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Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication explanations, portal messages and plain-language educational materials. These outputs may improve accessibility…
europepmc
2026
置信度 0.80
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Background Postoperative monitoring of free vascularized flaps (FVFs) is critical for early detection of ischemia and timely salvage. Although traditional monitoring relies heavily on clinical examination and adjunctive devices, these approaches are labor‑inte…
europepmc
2026
置信度 0.80
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Accurate longitudinal nodule matching is a critical technical prerequisite for automated growth rate (volume doubling time) assessment in lung cancer screening. This study evaluated an artificial intelligence (AI) pulmonary nodule analysis system in all 361 UK…
europepmc
2026
置信度 0.80
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Introduction Transparency has emerged as a foundational condition for trustworthy Artificial Intelligence (AI) in healthcare. Despite its centrality, practical approaches to systematically operationalize transparency across the entire lifecycle of AI-enabled m…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is gradually permeating every aspect of daily life. AI is now more than a mere tool; it significantly influences individual capabilities, professional values, social status, and our perspectives on the future. Amid these AI-driven …
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Sleep medicine has rapidly adopted artificial intelligence (AI), but most applications still prioritize automated sleep staging or single summary indices, limiting clinical translation when symptoms arise from within-stage dynamics. This review proposes a phys…
europepmc
2026
置信度 0.80
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Background Oro-Facial Pain (OFP) disorders are a group of diseases characterized by overlapping clinical features leading to diagnostic and therapeutic challenges. Recent advances in artificial intelligence (AI) such as machine learning (ML) and deep learning …
europepmc
2026
置信度 0.80
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Objective To map the evidence on artificial intelligence (AI)-generated diabetes-related patient education materials and patient-facing health information, with particular attention to AI models, prompting approaches, evaluation methods, and information-qualit…
europepmc
2026
置信度 0.80
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Background/Objectives: Artificial intelligence (AI) is increasingly being integrated into vascular surgery, particularly in diagnostic imaging, perioperative planning, intraoperative guidance, and postoperative surveillance. This literature review evaluates th…
europepmc
2026
置信度 0.80
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Introduction The use of Artificial Intelligence (AI), especially Machine learning (ML) and Deep learning (DL), has led to a major shift in medical diagnosis. AI can assist medical professionals in medical diagnosis by its unique ability to analyze complex data…
europepmc
2026
置信度 0.80
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Accurate perfusion evaluation is crucial for clinical diagnosis and treatment, such as lesion characterization and risk stratification of carotid atherosclerotic plaques. Contrast-enhanced ultrasound (CEUS) examination, which enhances microvascular visualizati…
europepmc
2026
置信度 0.80
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Cardiovascular disease (CVD) is a leading cause of death worldwide, making early risk prediction essential for improving outcomes. Although artificial intelligence (AI) models promise to improve predictions, questions remain about interpretability, the reliabi…
pubmed
Pai S, Subramanian R, Krishnan L, John D 等
2026
置信度 0.82