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BACKGROUND: Medical documentation plays a crucial role in clinical practice, facilitating accurate patient management and communication among health care professionals. However, inaccuracies in medical notes can lead to miscommunication and diagnostic errors. …
openalex
Annessa Kernberg, Jeffrey A. Gold, Vishnu Mohan
2024-03-10
置信度 0.72
PreprintDocumentationQuality (philosophy)Computer scienceReproducibility
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Artificial Intelligence (AI) applications have the potential to revolutionize conventional healthcare practices, creating a more efficient and patient-centred approach with improved outcomes. This guide discuses eighteen AI-based applications in clinical decis…
openalex
Marie Ennis-O’Connor, William T. O’Connor
2024-03-05
置信度 0.72
Transparency (behavior)AccountabilityHealth careKnowledge managementAnalytics
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BACKGROUND: Interest in artificial intelligence (AI) and machine learning (ML) has grown rapidly in recent years due to the success of modern algorithms across various domains. Emergency departments are fast-paced and resource-constrained environments where ti…
openalex
Önder Limon, Başak Bayram, Murat Çetin, Gülsüm Limon 等
2025-07-11
置信度 0.72
MedicineWeb of scienceThematic analysisMEDLINEDescriptive statistics
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Integrating artificial intelligence (AI) with drones has emerged as a promising paradigm for advancing agriculture. This bibliometric analysis investigates the current state of research in this transformative domain by comprehensively reviewing 234 pertinent a…
openalex
Hicham Slimani, Jamal El Mhamdi, Abdelilah Jilbab
2023-11-14
置信度 0.72
Transformative learningAgricultureDroneScopusComputer science
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Recent significant advances in the healthcare industry due to artificial intelligence (AI) and machine learning (ML) have been shown to revolutionize healthcare delivery by improving efficiency, accuracy, and patient outcomes. However, these technologies can f…
openalex
Ifeanyi Anthony Okwor, Geeta Hitch, Saira Hakkim, S.Kom. Fawwaz Ali Akbar 等
2024-10-12
置信度 0.72
Applications of artificial intelligenceHealth careArtificial intelligenceComputer scienceHealthcare delivery
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Abstract Artificial intelligence (AI) has seen rapid development over the past decade, leading to its integration into various aspects of human life. The ability to integrate AI systems hinges not solely on their technical efficacy but also on the perceptions …
openalex
Ferenc Orbán, Ádám Stefkovics
2025-03-31
置信度 0.72
Artificial intelligenceComputer sciencePerforming artsPsychologyKnowledge management
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Breast cancer represents a significant health concern, particularly in Saudi Arabia, where it ranks as the most prevalent cancer type among women. This study focuses on leveraging eXplainable Artificial Intelligence (XAI) techniques to predict benign and malig…
openalex
Turki Alelyani, Maha M. AlShammari, Afnan Almuhanna, Onur Asan
2024-05-15
置信度 0.72
InterpretabilityBreast cancerArtificial intelligenceContext (archaeology)Random forest
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Medical laboratories (MLs) are vital in global healthcare delivery, enhancing diagnostic accuracy and supporting clinical decision-making. This systematic review examines the multifaceted contributions of ML, emphasizing their importance in pandemic preparedne…
openalex
Adebola Adekoya, Mercy A. Okezue, Kavitha Menon
2025-03-17
置信度 0.72
Health careHealthcare deliveryMedicinePolitical scienceLaw
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The rapid development of biosensing technologies together with the advent of deep learning has marked an era in healthcare and biomedical research where widespread devices like smartphones, smartwatches, and health-specific technologies have the potential to f…
openalex
Tanvir Islam, Peter Washington
2024-04-09
置信度 0.72
Health careComputer scienceKey (lock)Modality (human–computer interaction)Deep learning
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Nuclear power plants (NPPs) rely on critical, complex systems that require continuous monitoring to ensure safe operation under both normal and abnormal conditions. Despite the potential of artificial intelligence (AI) to enhance predictive capabilities in the…
openalex
Chaima Jendoubi, Arghavan Asad
2024-10-29
置信度 0.72
Nuclear powerEnvironmental scienceComputer scienceEngineeringBiology
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Artificial intelligence (AI) has entered the medical subspecialty of cytogenetics with the recent introduction of AI-guided karyotyping into the clinical laboratory. Karyotyping is an essential component of the cytogenetic analysis process; however, it is both…
openalex
Lynne S. Rosenblum, Julia Holmes, Agshin F. Taghiyev
2025-05-31
置信度 0.72
KaryotypeCytogeneticsSubspecialtyComputer scienceChromosome analysis
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The integration of Artificial Intelligence (AI) and Machine Learning (ML) into pharmaceutical formulation design has brought about a significant transformation, opening up new avenues for innovation and operational efficiency. This review paper aims to extensi…
openalex
Hrithik Dey, Nisha Arya, Harshita Mathur, Neel Chatterjee 等
2024-06-30
置信度 0.72
Artificial intelligenceComputer scienceMachine learningManufacturing engineeringManagement science
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Background Artificial intelligence large language models (LLMs) are increasingly used to inform clinical decisions but sometimes exhibit human-like cognitive biases when facing nuanced medical choices. Methods We tested whether new chain-of-thought reasoning L…
europepmc
2026
置信度 0.80
-
Background Although artificial intelligence (AI) is increasingly transforming healthcare systems, its systematic integration into undergraduate medical education (UME) remains limited. Despite widespread recognition of AI's potential to enhance clinical practi…
europepmc
2026
置信度 0.80
-
Purpose This narrative review aims to systematically summarize and compile available evidence on the applications of artificial intelligence (AI) across major domains of prosthodontics, including complete dentures, removable partial dentures, fixed prosthodont…
europepmc
2026
置信度 0.80
-
Objectives Systematic literature reviews (SLRs) underpin life sciences research but are resource intensive. Generative artificial intelligence (GenAI), particularly large language models, may accelerate key SLR tasks; yet, performance and reliability for evide…
europepmc
2026
置信度 0.80
-
Background Currently, there is a growing body of research examining the role of generative Artificial Intelligence (GenAI) in medical undergraduate education. However, the findings of these studies exhibit considerable variability. Therefore, this review was d…
europepmc
2026
置信度 0.80
-
Objective Despite widespread consensus that quantifiable application characteristics impact match success, no prospective predictive algorithm has been created in any specialty since the implementation of USMLE Step 1 pass/fail scoring. The rise of artificial …
europepmc
2026
置信度 0.80
-
Background Artificial intelligence (AI) is increasingly used in clinical decision support and perioperative planning, yet its role in anticipating the future direction of surgical science remains underexplored. In craniofacial surgery, forecasting publication …
europepmc
2026
置信度 0.80
-
Background: Artificial Intelligence (AI) chatbots and their underlying technology arguably has potential but are associated with risks for the users. There are few reports of delusions developed during intense use of chatbots in people with preexisting mental …
preprints
2026
置信度 0.74
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Abstract Aggregated internet search data offer a near–real-time window into public engagement with disease, yet they index public attention rather than clinical need or disease burden. We characterized two decades of public search interest in neurosurgical con…
preprints
2026
置信度 0.74
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Abstract Introduction: As artificial intelligence (AI) becomes more common in healthcare, nursing students need to be both mentally and emotionally ready to use it. But feeling anxious about technology might hold them back. This study looked at whether there i…
europepmc
2026
置信度 0.80
-
Background: Human-Computer Interaction (HCI) plays a critical role in the design and adoption of healthcare technologies, yet its intellectual structure and global research patterns remain insufficiently mapped. Objectives: This study aimed to analyze the evol…
preprints
2026
置信度 0.74
-
Abstract Background The rapid advancement of artificial intelligence (AI) has significantly impacted various fields, including medicine. As AI integration in medicine expands, medical students and professionals need to develop a comprehensive understanding of …
europepmc
2026
置信度 0.80
-
Abstract Explainable Artificial Intelligence (XAI) has gained significant attention in healthcare due to the growing need for transparency, accountability, and trust in automated medical decision-making. Although the literature on XAI is expanding rapidly, esp…
preprints
2026
置信度 0.74
-
Abstract 1.1 Background Artificial intelligence (AI) is rapidly transforming healthcare systems and medical education worldwide. Despite increasing exposure to AI tools, the level of knowledge, attitudes, and educational readiness among medical students remain…
preprints
2026
置信度 0.74
-
Background: As the society ages, the number of patients with early cognitive impairment that can progress to Alzheimer’s disease also increases. Early diagnosis and risk as-sessment allows effectively initiate the necessary lifestyle changes and monitoring. Th…
preprints
2026
置信度 0.74
-
Abstract Background Artificial intelligence (AI) is a broad field encompassing various techniques, which include algorithms that learn from data to perform automated tasks without explicit human programming. Public health aims to protect and improve the health…
preprints
2026
置信度 0.74
-
Abstract Objective Structured Clinical Examinations (OSCEs) are central to assessing medical student clinical competence, but human grading imposes substantial burden. We report, to our knowledge, the first prospective deployment of an integrated multimodal ar…
preprints
2026
置信度 0.74
-
Abstract Background Neonatal Intensive Care Units represent high-risk clinical environments where timely and accurate decision-making is critical for newborn survival, increasing the demand for advanced technological support. As artificial intelligence becomes…
preprints
2026
置信度 0.74
-
Background Artificial intelligence chatbots (AICs), as a form of generative artificial intelligence (AI), are increasingly being considered for use in scholarly peer review to assist with tasks such as identifying methodological issues, verifying references, a…
preprints
2026
置信度 0.74
-
Abstract Objective To investigate the current situation of artificial intelligence attitudes of clinical nurses in county hospitals and analyze its influencing factors, to provide a reference for promoting the application of artificial intelligence technology …
preprints
2026
置信度 0.74
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Abstract Background Large language models (LLMs) have shown encouraging results in the medical field, with recent work demonstrating their capacity to encode substantial clinical knowledge [12] and pass medical licensing examinations [5, 6]. However, most exis…
preprints
2026
置信度 0.74
-
Abstract Background : The integration of artificial intelligence (AI) in medical education represents a paradigm shift in pedagogical delivery, particularly in addressing the persistent gap between basic science knowledge and clinical application. The Socratic…
preprints
José Daniel Sánchez
2026
置信度 0.74
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Abstract Background. Studies of artificial intelligence tools used in patient triage have largely involved academic medical center cohorts, scripted patient-actor scenarios, or knowledge benchmarks. Populations that may rely on such tools due to constrained ac…
preprints
2026
置信度 0.74
-
The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence and machine learning (AI/ML)-enabled medical devices that have received marketing authorization. Prior published analyses examined this list at earlier time points and…
preprints
2026
置信度 0.74
-
Abstract Background Generative artificial intelligence (GenAI) technologies, with ChatGPT and DeepSeek being the most prominent examples among large language models (LLMs), have been getting more attention in medical education lately, mainly because they can g…
preprints
Chao Wang, Niuniu Sun, Xinjuan Pan, Pan Liu 等
2026
置信度 0.74
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Abstract Background and Aims: Sessile serrated lesions (SSLs) are precancerous colorectal polyps with high malignant potential, yet their endoscopic recognition remains challenging. Most artificial intelligence (AI) models for polyp classification fail to spec…
preprints
2026
置信度 0.74
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Abstract Pharmaceutical companies expanding into Europe face regulatory and market access heterogeneity unmatched in any other region. The EU Health Technology Assessment Regulation, operational since 12 January 2025, compounds it: Joint Clinical Assessments a…
preprints
2026
置信度 0.74
-
Abstract Background The global higher education landscape is undergoing a profound transition due to the convergence of digital technologies and pedagogical theory. In medical education, large language models now demonstrate clinical reasoning capabilities com…
preprints
2026
置信度 0.74
-
Abstract Blockchain and artificial intelligence (AI) are two innovative technologies that are impacting modern infrastructures with resilience, intelligence, and transparency. Blockchain offers immutability, decentralization, and trust, while AI facilitates de…
preprints
2026
置信度 0.74
-
Abstract Background Artificial Intelligence (AI) is profoundly transforming the field of healthcare, while also inducing adaptive anxiety among healthcare professionals. As the future backbone of the nursing workforce, nursing undergraduates' Artificial Intell…
preprints
2025
置信度 0.74
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Objective To develop and evaluate a framework for human-AI interaction. This approach, SHARE (Synergistic Human-Agent REasoning system) was designed to support scalable phenotyping of complex outcomes accurately, robustly and reproducibly from real-world elect…
preprints
2026
置信度 0.74
-
Abstract Paper mills increasingly compromise the medical artificial intelligence (AI) literature, yet the scale of the problem remains poorly quantified and existing detection methods have not been combined into unified frameworks. We developed a pre-registere…
preprints
2026
置信度 0.74
-
Abstract Background Artificial intelligence (AI) is increasingly integrated into healthcare, including pediatrics, offering new opportunities for diagnosis, management, and decision support. However, the effective implementation of AI depends largely on health…
preprints
2025
置信度 0.74
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Introduction SkinScan3D (SS3D) is a novel, artificial intelligence–enabled device that provides objective three-dimensional measurements for monitoring Kaposi Sarcoma (KS) lesions. Prior to launching a clinical trial of the device, we obtained end-user perspec…
preprints
2026
置信度 0.74
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Abstract Background Generative artificial intelligence (genAI) chatbots are increasingly used for health advice despite lacking regulatory approval, raising concerns about their output quality and safety. This study assesses eye health advice from leading genA…
preprints
2026
置信度 0.74
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Medical multimodal foundation models (MMFMs) have become a central element of medical artificial intelligence, supporting progress in clinical workflows like diagnosis, report generation, and multimodal reasoning. However, existing surveys face issues with qui…
preprints
2026
置信度 0.74
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Abstract Background : Artificial intelligence (AI) is rapidly reshaping healthcare and the competencies expected of graduating medical students. Existing AI curricula and competency recommendations for undergraduate medical education (UME) are fragmented, and …
preprints
2026
置信度 0.74
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Abstract Background Artificial intelligence (AI) is transforming healthcare, but medical students' readiness to adopt it remains unclear. Limited research exists on their awareness, skills, and perception toward AI in medicine. This study evaluates AI readines…
preprints
2025
置信度 0.74
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Abstract Background Clinical reasoning is a core aim of health professions education, yet there is still no stable agreement on what the construct includes, how it should be taught, or how it should be assessed. This problem has become more urgent with the rap…
preprints
2026
置信度 0.74
-
Abstract Generative artificial intelligence (AI)-powered simulated patients may expand access to adaptive and repeatable clinical training, yet evidence concerning their educational effectiveness, technical implementation, and responsible use remains fragmente…
preprints
2026
置信度 0.74
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Abstract Objective This study investigates the application of Artificial Intelligence-Driven Point-of-Care Ultrasound (AI-POCUS) in antenatal care (ANC) services within low-resource settings, examining its effects on ANC adherence, referral decisions, and mate…
preprints
2026
置信度 0.74
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Abstract Introduction Artificial intelligence (AI) is increasingly shaping work, healthcare, and education. For further evaluation of AI in Work, Healthcare, and Education, we aimed to translate, culturally adapt, and evaluate the psychometric properties of th…
preprints
2025
置信度 0.74
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Artificial intelligence (AI) models with medical images as input data are increasingly proposed to support clinical decisions in lung cancer screening. To assess how these models are developed, evaluated, and reported, and to identify gaps in best statistical …
preprints
2025
置信度 0.74
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Abstract Background Artificial Intelligence (AI) has emerged as a transformative force in healthcare, enhancing diagnostic precision, predicting outcomes, and optimizing administrative processes. In medical education, AI supports learning through simulation, a…
preprints
2025
置信度 0.74
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Abstract Breast cancer remains a leading cause of mortality in women globally, necessitating early detection and accurate diagnosis. Deep learning, particularly Convolutional Neural Networks (CNNs), and adaptive thresholding methods have emerged as promising t…
preprints
2026
置信度 0.74
-
Abstract Two ground-breaking technologies that are influencing contemporary infrastructures with durability, intelligence, and transparency are blockchain and artificial intelligence (AI). AI enables predictive analytics, anomaly detection, and decision suppor…
preprints
2025
置信度 0.74
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Abstract Introduction: Medical Artificial Intelligence (MAI) is transforming healthcare but raises significant ethical concerns. Despite emerging principles and regulations, no standardized clinical bioethics framework exists to guide MAI practice. Objective T…
preprints
2026
置信度 0.74
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Background Polypharmacy is common in people living with dementia (PLwD) and associated with adverse outcomes. Although Structured Medication Reviews (SMRs) are recommended to optimise medication regimens, their delivery is often constrained by limited healthca…
preprints
2026
置信度 0.74
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Abstract Background: Artificial Intelligence (AI) has become a transformative force in various industries, with healthcare being one of the most significantly impacted. AI technologies are being utilized for medical diagnosis, treatment planning, and patient m…
preprints
Johnson Henry Mhyellah, Yacinter Vedastus, Allen Rweyendera, Richard F. Kiritta 等
2025
置信度 0.74
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Background Frailty is common in acute ischemic stroke (AIS) and predicts poor outcomes, but is not routinely captured in acute stroke care. Manual frailty tools are difficult to apply consistently in busy inpatient settings, while existing electronic frailty i…
preprints
2026
置信度 0.74
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The digital revolution is transforming the face of medical education as Information Technology (IT) and Artificial Intelligence (AI) have become major factors in driving innovation. The use of digital platforms and immersive simulation systems trained with AI …
preprints
2025
置信度 0.74
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Abstract Background: Artificial intelligence (AI) can manage patient data and assist in medical procedures, but can it replace aspects such as the emotions and empathy that nurses typically provide to patients. The importance of human relationships in nursing …
preprints
2025
置信度 0.74
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Abstract Background Prevalence of physical inactivity is high and increasing across high-income countries, and interventions to increase physical activity can include behaviour change delivered digitally. Artificial intelligence (AI) is a broad field encompass…
preprints
2026
置信度 0.74
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Abstract Background: Diabetes mellitus is a global health challenge, especially among the homeless. Nursing plays a critical role in prevention, early detection, and management of diabetes. Aim: to predict diabetes among homeless adults by utilizing artificial…
preprints
2025
置信度 0.74
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Background Traditional, complementary, and integrative medicine (TCIM) describes a broad collection of medical interventions, practices, and belief systems that fall outside the purview of conventional medicine. Accompanying the recent growth of TCIM research …
preprints
2025
置信度 0.74
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Abstract Background: Artificial intelligence (AI) is becoming increasingly prevalent in most aspects of our lives, and with its continued development, it raises new questions and challenges, making it one of the most interesting and important topics for discus…
preprints
2025
置信度 0.74
-
Abstract Background: Artificial Intelligence (AI) is increasingly influencing the healthcare industry, making it crucial to assess the perceptions and practices of AI among future healthcare professionals. This study aimed to determine the attitudes of Indian …
preprints
2025
置信度 0.74
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Abstract Background Effective communication and empathy are essential for professional–patient relationships, patient care, and the therapeutic alliance. With the increasing use of artificial intelligence-assisted virtual patients (AI-VP), new opportunities to…
preprints
2025
置信度 0.74
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Abstract This study aims to develop an AI-powered detection model specifically designed for X-ray modalities to enhance the diagnosis of urinary tract stones. Urinary tract stones are a prevalent medical condition that can lead to significant morbidity and hea…
preprints
2025
置信度 0.74
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Abstract Background Artificial intelligence (AI) is progressively transforming radiology departments, offering new opportunities to enhance both efficiency and quality of care. This study explores the perceptions of radiology professionals regarding the integr…
preprints
2025
置信度 0.74
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Abstract Objective: This study aims to investigate the research trends and focal areas within the field of medical humanities over the past decade, offering valuable insights for scholars in related disciplines. Methods: A comprehensive literature search was c…
preprints
2025
置信度 0.74
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Background: Statistical analysis is central to medical research. Generative artificial intelligence have recently emerged as potential tools to support data analysis in medical research. Objective: to evaluate the accuracy and reliability of artificial intelli…
preprints
2025
置信度 0.74
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Paper mills increasingly compromise the integrity of the medical artificial intelligence (AI) literature. We developed a pre-registered, multi-signal natural language processing pipeline combining seven feature categories -- tortured phrases, structural formul…
preprints
2026
置信度 0.74
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Abstract Background Artificial Intelligence (AI) is rapidly evolving and is increasingly applied across healthcare disciplines. In gynaecology, however, its implementation is still emerging and not yet well established. This review explores how AI is being app…
preprints
2025
置信度 0.74
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Abstract Background: Anxiety disorders, depression, and borderline personality disorder often emerge during adolescence, yet early psychiatric assessment remains challenging because conventional interviews are subjective, clinician-dependent, and difficult to …
preprints
2026
置信度 0.74
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Abstract Purpose To determine whether artificial intelligence (AI) can detect the impact of advanced paternal age (APA) on embryonic development and, consequently, on assisted reproductive technology (ART) outcomes. Methods This retrospective observational stu…
preprints
2025
置信度 0.74
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Fertile women represent a socially and medically significant patient group, yet little research has examined their rehospitalization behavior and financial burden in clinical settings. This study develops predictive and explainable artificial intelligence (AI)…
preprints
2025
置信度 0.74
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The incorporation of artificial intelligence into medical pedagogy necessitates a thorough appraisal, especially within fundamental disciplines like anatomy, where accurate understanding is paramount. The efficacy of advanced AI systems, specifically Large Lan…
preprints
2025
置信度 0.74
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Abstract Objective To discover the variables that affect bladder cancer (BC) patients' survival and prognosis after surgical treatment, and to use this knowledge to build an artificial intelligence (AI)-based recommendation algorithm. Methods This study compri…
preprints
2025
置信度 0.74
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Abstract Background Generative artificial intelligence (AI), particularly large language models such as ChatGPT, is rapidly transforming various sectors, including medical education. Despite increasing interest, few studies have investigated how AI is actually…
preprints
2025
置信度 0.74
-
As artificial intelligence transforms clinical practice, medical education needs to incorporate soft skills to ensure patient safety, support transparent decision-making, and uphold ethical accountability. This narrative review synthesizes evidence from MEDLIN…
preprints
2025
置信度 0.74
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Background Preoperative cardiovascular (CV) risk stratification is essential in non-cardiac surgery, but conventional testing is frequently overused, increasing costs without improving outcomes. Artificial intelligence (AI)-enabled electrocardiography (ECG) ma…
preprints
2025
置信度 0.74
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Abstract Background Pharmacology education, serving as a crucial bridge between basic and clinical medicine, faces challenges with traditional lecture-based pedagogies in meeting diverse student learning needs. While blended learning has enhanced educational f…
preprints
2025
置信度 0.74
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Abstract Background: Prevalence of alcohol consumption and smoking is high across high-income countries, and interventions to decrease either can include behaviour change delivered digitally. Artificial intelligence (AI) is a broad field encompassing various t…
preprints
2026
置信度 0.74
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The accelerating digital transformation of healthcare systems has positioned artificial intelligence (AI) as a crucial tool for enhancing the efficiency and accuracy of medical services. This review examines the emerging applications of AI within biochemistry …
preprints
2025
置信度 0.74
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Abstract Background Understanding factors influencing specialty choice is essential for workforce planning and curriculum development. Recruitment into radiology remains challenging in several regions, particularly in low- and middle-income settings. This stud…
preprints
2026
置信度 0.74
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Abstract Background Early detection of cancer and precise recurrence monitoring remain major unmet needs in oncology. Conventional screening is limited to a few cancer types, leaving nearly half of cancers without established programs. Multi-cancer early detec…
preprints
2025
置信度 0.74
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Artificial intelligence (AI) is rapidly transforming medical education by providing new approaches for knowledge acquisition, clinical training, and decision-making support. This narrative review synthesizes recent literature on AI applications in undergraduat…
preprints
2025
置信度 0.74
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Abstract Background Artificial intelligence (AI) is changing the face of healthcare, especially in the field of diagnostic radiology, and improving the accuracy and efficiency of medical images. In Saudi Arabia, AI is revolutionizing workflows, able to advance…
preprints
2025
置信度 0.74
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Artificial intelligence is increasingly deployed in high-stakes domains such as healthcare, public welfare, and autonomous transportation, where errors can cost lives or infringe on human rights. However, current AI approaches dominated by neural networks and …
preprints
2025
置信度 0.74
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Background The rapid expansion of medical literature has led to substantial variability and frequent contradictions in study findings, making it increasingly difficult to distinguish meaningful signals from noise. Much of this variability arises from differenc…
preprints
2026
置信度 0.74
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AbstractBackground: This study explores the role of artificial intelligence (AI) in healthcare, basic medical sciences, and disease treatment, with a focus on strategies to enhance the accuracy and speed of diagnosis. Advances in AI technologies have significa…
preprints
2025
置信度 0.74
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The application of artificial intelligence (AI) in the medical field has seen a significant increase in popularity, particularly for its ability to accurately detect abnormalities across a range of diagnostic tests. The effectiveness and precision of AI models…
preprints
2025
置信度 0.74
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Abstract Background: To develop an artificial intelligence information literacy scale suitable for medical students and to test its reliability and validity, providing a scientifically reliable tool for assessing medical students' information literacy in artif…
preprints
Yingying Miao, Yi Zhang, Chaojin Zhao, Suli Ma 等
2025
置信度 0.74
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Abstract Background: Artificial intelligence (AI) is rapidly growing, and in many fields, it is anticipated that intelligent computers will either eventually replace or enhance human capabilities. AI is a general term that includes computer vision, natural lan…
preprints
2026
置信度 0.74
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Abstract Background: Artificial Intelligence (AI) is increasingly reshaping healthcare delivery and medical training through its capacity to simulate cognitive processes such as learning, reasoning, and problem-solving. As its applications expand, particularly…
preprints
2025
置信度 0.74
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Carbapenem-resistant Gram-negative bacteria (CR-GNB) represent a major health challenge due to limited therapeutic options, increased morbidity, and extended hospital stays (Ham et al., 2021). Early prediction of carbapenem resistance can optimize empirical an…
preprints
2025
置信度 0.74
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The fragmentation and decentralization of medical data, including radiological imaging, continue to challenge large-scale observational research across Europe. Artificial Intelligence (AI) applied to big datasets is transforming diagnosis and treatments toward…
preprints
2025
置信度 0.74