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Artificial intelligence (AI) and machine learning (ML) are increasingly being evaluated as decision-support tools for forecasting postoperative complications after cardiothoracic surgery. This narrative review synthesises peer-reviewed clinical, biomedical info…
preprints
2026
置信度 0.74
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Abstract Background Artificial intelligence (AI) is increasingly embedded within healthcare systems, yet formal training in AI remains limited within undergraduate medical education in the United Kingdom. National policy documents and professional bodies have …
preprints
2026
置信度 0.74
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Precision medicine focuses on customizing diagnostic, prevention and treatment approaches by accounting for the individual characteristics of each patient. This personalization draws on diverse sources of information including clinical records, genomic data, m…
preprints
2026
置信度 0.74
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Background Artificial Intelligence (AI) is increasingly integrated into healthcare systems worldwide and medical schools worldwide have begun integrating AI into their curricula. The healthcare system in Iraq is currently undergoing development and AI has not …
preprints
2026
置信度 0.74
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Abstract Background An increasing number of artificial intelligence (AI) technologies are profoundly influencing and transforming the clinical practice of medical imaging. However, the systematic application of AI in the undergraduate courses of medical imagin…
preprints
2026
置信度 0.74
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Recent meta-research studies have evaluated specialty-specific (i.e. pertaining to an individual medical specialty) author guidelines on the use of artificial intelligence (AI) in medical journals. To date, however, no systematic review has synthesised these f…
preprints
2026
置信度 0.74
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Medical imaging generates vast quantities of high-dimensional data that often exceed the capacity of qualitative human interpretation. Artificial intelligence (AI)—in particular machine learning, deep learning, and radiomics—has emerged as a powerful approach …
preprints
2026
置信度 0.74
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Abstract Objective This study aims to create and validate the teaching effectiveness of an interactive artificial intelligence (AI) virtual platform in the standardized residency training of obstetricians and gynecologists. Method This study randomly selected …
preprints
2026
置信度 0.74
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The integration of artificial intelligence (AI) in cardiology requires healthcare worker acceptance for successful implementation. Understanding attitudes and educational needs is crucial for developing effective training programs. A cross-sectional survey was…
preprints
2026
置信度 0.74
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Abstract Background: Artificial Intelligence (AI) tools are being rapidly integrated into medical education, yet discipline-specific evidence on their use in pharmacology tutorials remains limited. This study evaluated the perceptions of AI-assisted learning i…
preprints
2026
置信度 0.74
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Participatory qualitative methods such as Photovoice are increasingly used to link research with social action. Recent advances in artificial intelligence (AI) may enhance data analysis, inference, and action planning within such participatory approaches. This…
preprints
2026
置信度 0.74
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Abstract Background While AI-driven tools are rapidly transforming how individuals seek medical advice, there is a lack of specialized instruments to measure this specific behavioral shift. This study addresses the gap in digital health literature by developin…
preprints
2026
置信度 0.74
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Abstract Background Body condition assessment is a critical component in evaluating general health and nutritional status, providing essential guidance for medical decision-making, welfare evaluation, and population-level monitoring. The body condition score (…
preprints
2026
置信度 0.74
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Background Clinical quality measurement often relies on manual abstraction of medical records, an approach that is costly, burdensome, and often infeasible for measures requiring interpretation of narrative text; these constraints have shaped measure developme…
preprints
2026
置信度 0.74
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Abstract While many international medical students may possess theoretical knowledge of cultural differences, their cultural intelligence for maneuvering and adapting cross-culturally is limited. This study aims to explore the mechanisms underlying cultural in…
preprints
2026
置信度 0.74
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Abstract Breast cancer is among the top cancer killing diseases among women worldwide and there is a need of reliable histopathology image analysis for early cancer diagnosis and treatment planning. Deep learning models are black-box models and have proven to …
preprints
2026
置信度 0.74
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The pharmaceutical industry is on the way of a revolution, driven by Artificial Intelligence (AI)-aided Natural Language Processing (NLP). This paper explores the methodology and vast applications, current role, and prospects of NLP in pharma, highlighting its…
preprints
2026
置信度 0.74
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Abstract The contribution of artificial intelligence to trust-sensitive domains, such as the military and medical domains, is challenging. The main reason that artificial intelligence is challenging to accept in trust-sensitive domains is the black-box nature …
preprints
2026
置信度 0.74
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Summary Background A comprehensive transthoracic echocardiogram involves the assessment of over 70 parameters, placing a substantial burden on sonographers and physicians for manual annotation with considerable inter-observer variability. Prior open-source seg…
preprints
2026
置信度 0.74
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Introduction: With the rapid advancement in artificial intelligence (AI), its integration into medical fields has gained momentum. AI technologies is increasingly applied for diagnosing and managing temporomandibular joint disorders (TMD), which affect one of …
preprints
2026
置信度 0.74
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Abstract Artificial Intelligence (AI) is becoming a transformative change in the medical and health care disciplines, in improving learning, decision-making, and clinical training. The study examines AI perceptions, attitudes, and uses and readiness with the a…
preprints
2026
置信度 0.74
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Contemporary intensive care is operating in an environment with high complexity cases, large volumes of information, and vast physiological, biological and therapeutical data, collected from laboratory results, investigations, therapies for organ support, coll…
preprints
2026
置信度 0.74
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PURPOSE To develop and validate an artificial intelligence-enabled platform that converts unstructured cancer trial eligibility criteria into structured queries and quantifies trial eligibility across advanced/metastatic cancer trials. METHODS We downloaded ac…
preprints
2026
置信度 0.74
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The rapid transition to digital medicine has transformed isolated electronic medical devices into intelligent, interconnected ecosystems capable of predictive analytics and continuous monitoring. The expansion of hyperconnectivity introduces significant vulner…
preprints
2026
置信度 0.74
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In primary care and outpatient settings, clinically important patient information is often embedded in fragmented, ambiguous, repetitive, and noisy communication between physicians and patients. This limits physicians’ ability to obtain a clear pre-consultatio…
preprints
2026
置信度 0.74
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ABSTRACT We evaluated nine patient-facing artificial intelligence products using 60 physician-developed standardized clinical cases and 540 multi-turn simulated patient encounters. Although overall triage accuracy showed no statistically significant difference…
preprints
2026
置信度 0.74
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The escalating crisis of invasive fungal infections and rising antifungal resistance demand rapid therapeutic innovation.With a critically narrow clinical arsenal, artificial intelligence (AI) and machine learning (ML) have emerged as pivotal clinical strategi…
preprints
2026
置信度 0.74
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Abstract The rapid emergence of multi-agent artificial intelligence ecosystems has introduced a critical systems-level problem that contemporary alignment research has largely failed to address: inter-agent objective divergence. While existing literature remai…
preprints
2026
置信度 0.74
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In basic motor skills evaluation, two observers can eventually mark the same child's performance differently. When systematic, this brings serious noise to the assessment. New motion sensing and tracking technologies offer more precise measures of these childr…
pubmed
Figueroa-Quiñones J, Ipanaque-Neyra J, Gómez Hurtado H, Bazo-Alvarez O 等
2023
置信度 0.82
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Abstract Background: The rapid integration of artificial intelligence (AI) into healthcare practice has resulted in new demands on medical education systems. This study aimed to adapt the Attitudes Towards Artificial Intelligence Questionnaire (AAIQ), original…
preprints
2026
置信度 0.74
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Summary Background Cone-beam computed tomography (CBCT) frequently captures the maxillary sinuses incidentally, and reliable automated detection of sinus abnormality is clinically relevant. Unlike most vision–language benchmarks in medical imaging, which pair …
preprints
2026
置信度 0.74
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The rapid advancement of artificial intelligence (AI) has led to its increased integration into domains involving physical agency. While traditional AI applications maintain a clear division of responsibility with the decision-action loop being fully controlle…
preprints
2026
置信度 0.74
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Dynamic interactions between T cell receptor (TCR) and peptide-human leukocyte antigen (pHLA) complexes are central to peptide-specific immune recognition, influencing T cell activation and immune responses. While structural biology has provided valuable stati…
preprints
2026
置信度 0.74
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Abstract The study explores the evolution and impact of medical technology within a military hospital in Ghana, focusing on the partnerships that have influenced technological progress and healthcare services. It incorporates primary data from interviews with …
preprints
2026
置信度 0.74
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Anthropomorphic form is an inherent characteristic of artificial intelligence chatbots driven by large language models and appears to have profound effects on user perceptions of chatbots. The proliferation of anthropomorphized chatbots has raised concerns abo…
preprints
2026
置信度 0.74
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Abstract Background Histology is a visually demanding subject that requires students to integrate complex microscopic images with extensive terminology, often resulting in cognitive overload and reduced engagement. Although multimedia learning, educational mus…
preprints
2026
置信度 0.74
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Abstract Purpose To compare five conversational artificial-intelligence platforms - three large language models (LLMs) and two retrieval-augmented generation (RAG) platforms - as laser-dentistry decision-support tools across three domains (periodontal/surgical…
preprints
2026
置信度 0.74
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Background: Complete reporting of health-related research is necessary for users to understand, appraise, and apply research results appropriately. Reporting guidelines have been developed to support complete reporting. However, assessments of reporting guidel…
preprints
2026
置信度 0.74
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Abstract Background: The integration of artificial intelligence, big data and other engineering technologies with clinical medicine has spawned the interdisciplinary major of Intelligent Medical Engineering, which requires compound talents with medical literac…
preprints
2026
置信度 0.74
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As healthcare enters an era defined by algorithmic decision-making, the traditional medical curriculum faces a fundamental challenge. The exponential growth of medical knowledge and the ubiquity of digital health tools render pedagogical models centred on rote…
preprints
2026
置信度 0.74
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Abstract Design and development of artificial intelligence (AI) has transformed many sectors, one of which is healthcare, through early disease prediction, improved diagnostic accuracy, and decision support systems. However, the potential of Artificial Intelli…
preprints
2026
置信度 0.74
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Personalized cancer screening programs are increasingly being adopted to improve early detection, reduce unnecessary procedures, and optimize healthcare resources. However, many artificial intelligence-driven clinical decision support systems operate as “black…
preprints
2026
置信度 0.74
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Abstract 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 persiste…
preprints
2026
置信度 0.74
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Abstract Background: Machine Learning (ML) algorithms are widely used as a prediction tool in medicine to support clinical decisions. In this study, the machine learning methods are used to investigate IVIG resistance Kawasaki disease in a referral center of I…
preprints
2026
置信度 0.74
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Abstract Routine health examinations generate dense, heterogeneous data, yet their preventive value depends on consistent interpretation, calibrated risk stratification, and actionable follow-up. In practice, these tasks are distributed across clinicians and t…
preprints
2026
置信度 0.74
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Background: /Objectives: Artificial intelligence reshapes clinical practice and its effect on physician-patient relationship requires reconsideration of frameworks that have shaped modern medical ethics. When physician delegate expertise to algorithms they can…
preprints
2026
置信度 0.74
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Abstract This review explores advanced strategies for three-dimensional (3D) image reconstruction and visualization within the realm of medical imaging, emphasizing their pivotal role in improving diagnostic precision, surgical planning, and medical education.…
preprints
2026
置信度 0.74
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Abstract Prior to the advent of deep learning, traditional expert systems represented the dominant paradigm in artificial intelligence, designed primarily to deduce answers from domain-specific knowledge bases and user inputs (e.g., medical treatment recommend…
preprints
2026
置信度 0.74
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Abstract Background Intracranial aneurysms may go undetected or incompletely characterized on CT angiography (CTA) in clinical practice. Unrecognized lesions carry the risk of subsequent hemorrhage. Commercially available AI software for intracranial aneurysm …
preprints
2026
置信度 0.74
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Abstract Background: Accurate interpretation of thyroid ultrasound requires substantial experience, and diagnostic performance among trainees remains variable. Artificial intelligence (AI) has shown promise in medical image analysis; however, its role as an ed…
preprints
2026
置信度 0.74
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Abstract Artificial intelligence (AI) and machine learning (ML) are rapidly transforming the medical field. The aim of this review was to outline the current scientific state of AI and ML application in sports medicine, evaluate the developmental and clinical …
preprints
2026
置信度 0.74
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Abstract Small RNA molecules control how genes work after they are copied, plus show abnormal patterns in nearly every kind of tumor. These signals stay intact in liquid samples like plasma, which sparked attention for medical testing - yet turning those readi…
preprints
2026
置信度 0.74
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Background: Artificial intelligence (AI) is rapidly transforming medical education and clinical practice. AI-driven clinical decision support systems, diagnostic tools, and smart tutoring systems are helping teach and guide medical students on developing clini…
preprints
2026
置信度 0.74
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ABSTRACT Background Current medical large language model (LLM) evaluations largely rely on small collections of cases, whereas rigorous safety testing requires large-scale, diverse, and complex cases with verifiable ground truth. Multiple Sclerosis (MS) provid…
preprints
2026
置信度 0.74
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Increasingly, machine learning (ML) and artificial intelligence (AI) methods are being applied in medical microbiology and infection science. With this comes the challenge of educating professionals in these domains on the fundamental theory and methods of ML …
preprints
2026
置信度 0.74
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Artificial intelligence systems for pneumonia detection often achieve strong predictive performance but remain insufficiently calibrated, weakly interpretable, and poorly aligned with clinically meaningful decision-support requirements. This paper presents a d…
preprints
2026
置信度 0.74
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Abstract Background Effective teaching of basic surgical skills is essential in undergraduate medical education. While Halsted’s traditional “See One, Do One” approach has long been the cornerstone of surgical training, structured instructional models such as …
preprints
2026
置信度 0.74
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Background: Digital glucose technologies include continuous glucose monitoring (CGM), emerging sensing modalities, multi-vendor platforms, forecasting models and artificial-intelligence (AI) briefings. These components are already chained into one patient jour…
preprints
2026
置信度 0.74
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Abstract Prior to the advent of deep learning, traditional expert systems represented the dominant paradigm in artificial intelligence, designed primarily to deduce answers from domain-specific knowledge bases and user inputs (e.g., medical treatment recommend…
preprints
2026
置信度 0.74
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Abstract Background: Palatal rugae are distinct anatomical ridges on the anterior part of the palate that exhibit individual-specific morphological patterns, making them valuable markers for personal identification and forensic analysis. With advancements in a…
preprints
2026
置信度 0.74
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Abstract Background Artificial intelligence (AI) is increasingly relevant to medical practice and medical education, but it remains unclear whether students’ AI knowledge and educational expectations vary according to clinical training stage or preferred futur…
preprints
2026
置信度 0.74
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Morocco, facing a growing prevalence of chronic diseases such as diabetes, hypertension, and cardiovascular diseases, must overcome significant challenges to modernize its healthcare system. In this context, the integration of digital technologies, including t…
preprints
2026
置信度 0.74
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Abstract Background Artificial intelligence (AI) is increasingly promising to support decisions in acute cardiovascular care, including whether patients presenting to the emergency department can be safely discharged. Ethical and trustworthy-AI frameworks call…
preprints
2026
置信度 0.74
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AI-driven chatbots have been utilized in healthcare to automate administrative tasks, improve patient education, and expand access to medical information; however, their role in genetic counseling remains underexplored. To investigate the adoption, perceptions…
preprints
2026
置信度 0.74
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Abstract Background The rapid integration of Artificial Intelligence (AI) into clinical practice necessitates preparing future physicians for such interaction. This study assessed medical students’ knowledge, attitudes, and perceptions towards clinical AI and …
preprints
2026
置信度 0.74
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Abstract Background : As healthcare increasingly evolves into a complex sociotechnical system, clinical decision-making is no longer an individual cognitive task but a dynamic governance process involving patients, families, interprofessional teams, healthcare…
preprints
2026
置信度 0.74
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Abstract Histology learners must locate and identify relevant structures within complex tissue fields, yet immediate feedback on learner-selected regions is rarely available. We developed HistoSeek, a teacher-authored, curriculum-aligned artificial intelligenc…
preprints
2026
置信度 0.74
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Abstract Background Generative artificial intelligence (GAI) has been extensively integrated into nursing and medical education, significantly transforming the academic practices of students. Nonetheless, the varying impacts of GAI on core competency developme…
preprints
2026
置信度 0.74
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Genome mining is a powerful technique in natural product discovery, where biosynthetic gene clusters that are likely to produce novel or desirable natural products are identified through bioinformatic analysis. There are many more predicted biosynthetic gene c…
preprints
2026
置信度 0.74
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Abstract Background As healthcare increasingly evolves into a complex sociotechnical system, clinical decision-making is no longer an individual cognitive task but a dynamic governance process involving patients, families, interprofessional teams, healthcare o…
preprints
2026
置信度 0.74
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Background: This study aims to analyze the factors influencing intention to use Artificial Intelligence (AI)-based telemedicine services from a physician perspective by integrating the variables of effort expectancy, performance expectancy, social influence, f…
preprints
2026
置信度 0.74
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ABSTRACT BACKGROUND Artificial intelligence (AI) medical scribes rely on speech-to-text (STT) models for transcription. Evaluations of STT models in non-English settings remain scarce. We benchmarked ten STT models on medical consultations from Latin American …
preprints
2026
置信度 0.74
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Surgical video interpretation is a promising medical artificial intelligence application. However, no existing video annotation method preserves the spatiotemporal complexity of surgeon reasoning. Here we show that verbal reasoning and visual attention can be …
preprints
2026
置信度 0.74
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Abstract Background: Coronary CT angiography (CCTA) is a first-line diagnostic modality for coronary artery disease (CAD), yet its interpretation requires significant expert experience. Although general-purpose multimodal artificial intelligence (GP-AI) models…
preprints
2026
置信度 0.74
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Artificial Intelligence (AI) refers to systems designed to mimic human intelligence, enabling machines to perform tasks that typically require reasoning, learning, and decision-making. Today, AI is integrated into everyday life through technologies such as vir…
preprints
2026
置信度 0.74
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Contrast-enhanced computed tomography (CT) is central to the diagnosis, staging, and follow-up of patients with renal cell carcinoma (RCC). As artificial intelligence research into computer-aided solutions continues to grow, the need for curated and annotated …
preprints
2026
置信度 0.74
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Abstract Clinical reasoning underpins clinical expertise, yet fostering its development remains challenging. Effective clinical reasoning requires students to monitor and control how their reasoning develops as a clinical problem unfolds. These processes are c…
preprints
2026
置信度 0.74
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Abstract The rapid diffusion of artificial intelligence (AI) and advanced data analytics techniques across biomedical research, diagnostics and personalized medicine has established high-quality medical datasets as foundational resources. However, a significan…
preprints
2026
置信度 0.74
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Abstract Medical coding and billing workflows in modern healthcare systems have grown increasingly complex due to expanding clinical documentation, evolving coding standards, and heightened regulatory scrutiny. These factors contribute to persistent error rate…
preprints
2026
置信度 0.74
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Abstract Musculoskeletal ultrasound (MSUS) is widely used in clinical medicine and is extensively used in rheumatology. However, acquiring proficiency in MSUS remains challenging and demands substantial training. The advent of machine learning and artificial i…
preprints
2026
置信度 0.74
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Abstract Artificial intelligence-based medical prediction models are often affected by incomplete datasets containing missing values, which can significantly reduce model reliability and predictive performance. Among various imputation approaches, Multiple Imp…
preprints
2026
置信度 0.74
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Abstract Quality management systems in modern manufacturing are at a critical inflection point. Traditional Design Control frameworks including Design Development Plans (DDP), Design History Files (DHF), Verification and Validation (V&V), Design Inputs and Out…
preprints
2026
置信度 0.74
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ABSTRACT Background With growing impetus to integrate artificial intelligence (AI) tools into radiology, clinical practices must navigate workflow redesign. This carries implications for medical malpractice liability. Methods We conducted an online vignette ex…
preprints
2026
置信度 0.74
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Artificial intelligence (AI) is increasingly being integrated into healthcare, particularly in data-intensive chronic diseases that rely on longitudinal monitoring and shared decision-making. Multiple sclerosis is a prototypical example of such care, but real-…
preprints
2026
置信度 0.74
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As artificial intelligence increasingly permeates healthcare, it remains unclear whether clinical medicine students and professionals are adequately prepared for this transformation. This study aimed to investigate AI awareness, usage patterns, teaching needs,…
preprints
2026
置信度 0.74
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Computational design has transformed many fields of engineering, where simulators can explore millions of candidate design configurations before experimental development and testing. Therapeutic design in biomedicine has resisted computational design approache…
preprints
2026
置信度 0.74
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Deep-learning ECG analysis is advancing rapidly but lacks stable, physiologically interpretable indicators to anchor explainable artificial intelligence (AI). Tensor cardiography (TCG) models electrocardiographic (ECG) waveforms as differences between pairs of…
preprints
2026
置信度 0.74
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The approval of novel disease-modifying treatments for cardiac amyloidosis (CA) offers an avenue to stabilize disease progression. Timely diagnosis of CA is imperative so that patients can be connected to treatment earlier in their course. Echocardiography is …
preprints
2026
置信度 0.74
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(1) Background: Ultrasound (US) imaging is widely used in clinical diagnosis but is often degraded by speckle noise, which reduces image quality and can hinder interpretation. Deep learning has emerged as a promising approach for US denoising, yet its clinical…
preprints
2026
置信度 0.74
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Artificial intelligence (AI) has rapidly emerged as a transformative tool in virology, offering new opportunities for the detection, classification, and surveillance of viral pathogens. Recent advances in machine learning, deep neural networks, and multimodal …
preprints
2026
置信度 0.74
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Abstract Objective This study aims to examine the relationship between the academic citation success and social visibility of Artificial Intelligence (AI)-based medical research using bibliometric and altmetric methodologies. Methods The top 100 most-cited art…
preprints
2026
置信度 0.74
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Abstract Background Artificial intelligence (AI) offers transformative potential for medical education through personalised learning, simulation, and decision support, especially in resource-limited settings like West Africa. However, there are concerns regard…
preprints
2026
置信度 0.74
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Abstract Background The integration of artificial intelligence into orthopedic arthroscopic surgery has accelerated the demand for structured preclinical validation frameworks capable of exposing AI algorithms to the real-time operational conditions they will …
preprints
2026
置信度 0.74
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Abstract Background Artificial intelligence (AI) is increasingly integrated into medical education; however, its role in pre-clerkship preparation remains insufficiently understood, particularly in terms of underlying learning mechanisms. This study aimed to e…
preprints
2026
置信度 0.74
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Abstract Background Large language models (LLMs) have demonstrated rapidly expanding capabilities across medical knowledge tasks, including professional examinations. However, most existing evaluations focus primarily on overall accuracy and provide limited in…
preprints
2026
置信度 0.74
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Abstract Background The integration of artificial intelligence into orthopedic arthroscopic surgery has accelerated the demand for structured preclinical validation frameworks capable of exposing AI algorithms to the real-time operational conditions they will …
preprints
2026
置信度 0.74
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Reliable explanations are important for trustworthy medical applications of artificial intelligence (AI), but attribution-based explanations can vary across model randomization and small analytic changes. We present NEXIM (Nash Equilibrium-based Explainability…
preprints
2026
置信度 0.74
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crossref
2005-09-24T11:10:06Z
置信度 0.70
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crossref
2003-03-14T13:02:52Z
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crossref
2002-07-25T16:57:34Z
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