-
The integration of Information Technologies has transformed interactions between healthcare professionals and the families of hospitalized patients, enabling more comprehensive, transparent, and patient-centered care. Artificial Intelligence is emerging as a t…
preprints
2025
置信度 0.74
-
Introduction: With the rapid advancement in artificial intelligence (AI), its integration into medical fields has gained momentum. AI is increasingly applied for diagnosing and managing temporomandibular joint disorders (TMD), affecting one of the most complex…
preprints
2025
置信度 0.74
-
Background and Aims Machine learning has shown potential in predicting ablation targets for ventricular tachycardia (VT) in an animal model. This study progresses to externally validating deep learning approaches for human data. Methods The development and ext…
preprints
2026
置信度 0.74
-
Intelligent agent systems are gaining attention in healthcare, yet unimodal designs constrain their ability to process the heterogeneous multimodal data required for complex clinical tasks. Multimodal artificial intelligence (AI) agent systems have recently em…
preprints
2025
置信度 0.74
-
Background Barriers to mental-health care include limited resources and workforce, access constraints, and stigma. Artificial-intelligence (AI)-enabled chatbots may offer low-threshold support. Methods Cross-sectional correlational (comparative) study in one p…
preprints
2025
置信度 0.74
-
Abstract Lung cancer is regarded as one of the most lethal malignancies, with a 5-year survival rate that positions it among the three most fatal cancers worldwide. Successfully addressing lung cancer necessitates early identification for prompt tailored thera…
preprints
2025
置信度 0.74
-
Abstract Objective: Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease that generates significant fear in both patients and the general population. In recent years, widespread access to artificial intelligence (AI)–driven …
preprints
2026
置信度 0.74
-
Abstract Background: Artificial intelligence (AI) is widely regarded as a transformative technology in healthcare, particularly in the prevention of non-communicable diseases (NCDs). However, in developing countries like Iran, little is known about the readine…
preprints
2025
置信度 0.74
-
Abstract Background Artificial intelligence (AI) is rapidly transforming healthcare by enhancing diagnostic accuracy, enabling personalized treatments, and improving patient outcomes. Medical students, as future healthcare providers and primary AI users, requi…
preprints
2025
置信度 0.74
-
ABSTRACT Importance Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evaluation of artificial intelligence (AI)–assisted screening during clinical implementation is needed to determine clinical and economic perform…
preprints
2025
置信度 0.74
-
Abstract Knee osteoarthritis (KOA) affects more than 600 million individuals globally and is associated with significant pain, functional impairment, and disability. While personalized multidisciplinary interventions have the potential to slow disease progress…
preprints
2025
置信度 0.74
-
Abstract Objectives: To estimate the prevalence of silent vertebral compression fractures (VCF) in an asymptomatic population and to assess the demographic and clinical predictors using data from the UK Biobank. Design: A cross-sectional study using artificial…
preprints
2025
置信度 0.74
-
Background We previously examined the burden and predictors of sustained mental health care engagement in Ugandan first episode psychosis patients by retrospective chart review methods. However, the extensive requirements of chart reviews meant that we could o…
preprints
2026
置信度 0.74
-
Introduction: Artificial intelligence (AI) is rapidly transforming medical diagnosis worldwide, but its adoption remains limited in Africa, particularly in the DRC. This narrative review aims to analyze the contributions, challenges, and prospects for integrat…
preprints
Guy-Théodore MUAMBA, Christian TAGUE, Edouard MBAYA MUNIANJI, Virginie MUJINGA KATUMBA 等
2025
置信度 0.74
-
ABSTRACT Introduction Control of blood pressure (BP) continues to be a challenge globally. Clinical trials have shown home BP monitoring and text-message interventions to lower BP. Integrating these to personalise supportive messaging in response to changing B…
preprints
2025
置信度 0.74
-
OpenEvidence is a popular artificial intelligence (AI) based medical search engine that generates evidence-based answers. It includes a quick search engine method (OE) that takes only seconds to respond, along with a limited number of references. In mid-2025, …
preprints
2025
置信度 0.74
-
Abstract Machine learning approaches, including deep learning, are increasingly applied in healthcare, particularly for developing models that support clinical prediction and decision-making. In this context, acute respiratory infections represent a critical c…
preprints
2026
置信度 0.74
-
ABSTRACT Importance Predetermined Change Control Plans (PCCPs) are a recent regulatory innovation by the U.S. Food and Drug Administration (FDA) introduced to enable dynamic oversight of artificial intelligence and machine learning (AI/ML)-enabled medical devi…
preprints
2025
置信度 0.74
-
Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to enable accurate prediction, diagnosis, and clinical decision-making. Yet, the availability of large, well-annotated medical datasets is often limited by cost, p…
preprints
2025
置信度 0.74
-
Spatial transcriptomic technologies enable high-throughput quantification of gene expression at specific locations across tissue sections, facilitating insights into the spatial organization of biological processes. However, high costs associated with these te…
preprints
2025
置信度 0.74
-
Abstract Background Thymomas are rare mediastinal tumors with broad clinical spectrum, making accurate diagnosis pivotal for treatment planning and prognostication. Conventional imaging and histopathological evaluation persist as the gold standard, however, re…
preprints
2025
置信度 0.74
-
Abstract Electrocardiogram (ECG) arrhythmia classification is a foundational task in medical artificial intelligence, yet many high-performing deep learning approaches require GPU resources and may be difficult to interpret in clinical settings. This study pre…
preprints
2025
置信度 0.74
-
Generative artificial intelligence (AI) can augment educators’ capacity to design high-quality Key Feature Problems (KFPs) for valid assessment of clinical reasoning and decision-making. This practice-oriented guide presents ten evidence-informed tips for usin…
preprints
2025
置信度 0.74
-
Importance Artificial Intelligence (AI) voice-based chatbots may improve access to evidence-based psychotherapy for depression and anxiety, but their therapeutic mechanisms and outcomes are largely unknown. Objective To investigate the mechanisms and potential…
preprints
2025
置信度 0.74
-
Artificial intelligence (AI) is swiftly emerging as a core component in the transformation of global healthcare systems, with its effectiveness contingent upon the readiness of the workforce, especially future physicians. The incorporation of AI into medical e…
preprints
2025
置信度 0.74
-
Abstract Artificial intelligence has the potential to transform healthcare in low- and middle-income countries, where access to quality care remains limited. Maternal, sexual, and reproductive health (MSRH) outcomes are especially poor due to resource shortage…
preprints
2025
置信度 0.74
-
The explosive growth of digital healthcare data and networked Internet of Medical Things (IoMT) devices has heightened vulnerabilities inside healthcare networks, hence exposing sensitive medical systems to sophisticated cyber assaults. The safeMEDInet framewo…
preprints
2025
置信度 0.74
-
Abstract Artificial intelligence offers a great opportunity in critical care, particularly when a vast amount of continuously acquired physiological data is incorporated. High-quality, reliably labelled data are paramount for developing and training artificial…
preprints
Simon Orlob, Wolfgang J. Kern, Benjamin Hackl, Jan Wnent 等
2025
置信度 0.74
-
India’s national research capacity and infrastructure are unevenly distributed across states and union territories (UTs), contributing to geographic variation in academic publication output. We developed Indiapub , an open-access web application that quantitat…
preprints
2026
置信度 0.74
-
The rapid advancement of Generative Artificial Intelligence (AI) and foundation models has ushered in a transformative era in the evolution of intelligent systems. Unlike traditional machine learning approaches that focus on narrow, task-specific outcomes, gen…
preprints
2025
置信度 0.74
-
Placental abruption is detachment of the placenta before delivery from the implantation site that may have a potential to develop life-threating emergency clinic syptoms. The multifactorial nature of this disorder and no lab testing or procedures that can diag…
preprints
2025
置信度 0.74
-
Abstract Background Knee osteoarthritis (KOA), a prevalent condition impacting middle-aged and older adults' quality of life, is increasing globally. Tuina, a Traditional Chinese Medicine technique, shows efficacy in reducing KOA pain and improving function, b…
preprints
2025
置信度 0.74
-
Background: Activation mapping of scar mediated ventricular tachycardias (VT) are often limited by hemodynamic instability. Substrate mapping and 12-lead ECG localization of VT exit site is often limited by variable scar complexity. Emphasis on other mapping s…
preprints
2025
置信度 0.74
-
Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision and pattern recognition, establishing themselves as the dominant architecture for processing grid-structured data such as images and videos. This paper provides a comprehensi…
preprints
2025
置信度 0.74
-
Abstract Introduction Generative artificial intelligence (GenAI) tools such as large language models are Generative artificial intelligence (GenAI) tools such as large language models are increasingly used for health information and symptom appraisal. While di…
preprints
2026
置信度 0.74
-
Abstract Auscultation of heart, lung, and bowel sounds remains a fundamental diagnostic technique in clinical practice despite significant technological advancements in medical imaging. However, the accuracy of auscultation-based diagnoses is highly dependent …
preprints
2025
置信度 0.74
-
The meteoric rise in generative AI has created both opportunities and ethical challenges in the mental health disciplines namely in clinical mental health counseling, psychology, psychiatry, and social work. While these disciplines have been grounded in well-e…
preprints
2025
置信度 0.74
-
Surgical treatment is the only option for cholesteatoma; however, the recurrence rate is high, and the incidence of residual cholesteatoma recurrence largely depends on the surgeon's skill. Training deep neural network (DNN) models typically requires larg…
preprints
2025
置信度 0.74
-
Computer vision models for chest X-ray interpretation hold significant promise for global healthcare, but their clinical value depends on equitable development across diverse populations. We conducted a scientometric analysis to examine authorship patterns, ge…
preprints
2026
置信度 0.74
-
Background: The rapid expansion of real-world data in medicine is driving the adoption of advanced methods like Artificial Intelligence (AI) and Propensity Score Matching (PSM). AI is widely applied across diagnostics, prediction, and treatment planning, while…
preprints
2025
置信度 0.74
-
Backgrounds: : Recent advances in artificial intelligence (AI) have produced ChatGPT-4o, a multimodal large language model (LLM) capable of processing both text and image inputs. Although ChatGPT has demonstrated usefulness in medical examinations, few studies…
preprints
2025
置信度 0.74
-
Abstract Background Virtual simulation has been widely applied in nursing education, with demonstrated effectiveness; however, its application in home visit nursing remains limited. Understanding functional requirements from multiple stakeholders is essential …
preprints
2025
置信度 0.74
-
Artificial Intelligence (AI) is revolutionizing the medical field with its ability to support clinical decision-making, diagnose diseases, predict patient outcomes, and personalize treatment. Machine learning (ML) and deep learning (DL) have significantly cont…
preprints
2025
置信度 0.74
-
In recent years the field of computer science has experienced great changes, due to the incredible advances in the field of artificial intelligence. Deep Learning models are responsible for most of them since the biggest milestones occurred in 2012 when AlexNe…
preprints
2025
置信度 0.74
-
Cancer is a complex genetic disease involving uncontrolled cell growth and proliferation, and necessitates effective targeting of dysregulated cellular pathways underlying cancer progression. Multiple genetic and epigenetic alterations characterize tumor progr…
preprints
2025
置信度 0.74
-
Abstract Aim: In this study, it was aimed to determine the individual innovativeness levels of nursing students and their readiness levels for medical artificial intelligence and the relationship between these two variables. Background: A healthcare team with …
europepmc
2025
置信度 0.80
-
Abstract Purpose: The diagnosis and treatment of conditions affecting the nervous system, which comprises the brain, spinal cord, and nerves, is the focus of the medical specialty of neurology. The current study has examined the growth of research publications…
preprints
2025
置信度 0.74
-
Healthcare data is experiencing one of the highest growth rates of any major data sector, driven primarily by rapid advances in genomics, medical imaging, and continuous data from wearable devices. The convergence of universal data standards in healthcare (ter…
preprints
2025
置信度 0.74
-
Abstract Randomized controlled trials (RCTs) are indispensable for establishing the clinical value of medical artificial-intelligence (AI) tools, yet their high cost and long timelines hinder timely validation as new models emerge rapidly. Here, we propose BRI…
preprints
2025
置信度 0.74
-
Abstract In recent years, with the continuous development of medical technology, disease predetection and triage has become an important part of modern medical services. If the medical staff's disease predetection and triage of patients is inaccurate or not ti…
preprints
2025
置信度 0.74
-
Deploying large language models (LLMs) in clinical settings is limited by security, reliability, latency, and accessibility concerns that favor smaller, on-device or on-premise models. However, these smaller models may struggle to meet accuracy requirements. W…
preprints
2025
置信度 0.74
-
Background Large language models (LLMs) have demonstrated rapid advancements in natural language understanding and generation, prompting their integration into biomedical research, clinical practice, and professional education. However, systematic evaluation o…
preprints
2025
置信度 0.74
-
Abstract Background: Artificial intelligence (AI) holds promise in reshaping healthcare by transforming educational patterns, patient care, and research opportunities. However, there are obstacles impeding the proper integration of AI into the medical field. T…
preprints
2025
置信度 0.74
-
Artificial Intelligence (AI) holds great potential to revolutionize healthcare by integrating and analyzing diverse multi-source medical data to drive advancements in disease diagnosis, treatment strategies, and patient management. However, deploying AI in dis…
preprints
2025
置信度 0.74
-
Background Educators have called for training in artificial intelligence (AI) in medical education given its certain impact on the future of healthcare. However, there is no consensus regarding how to introduce AI into medical education and little is known abo…
preprints
2025
置信度 0.74
-
Background: The primary barriers to effective and comprehensive treatment of mental disorders are insufficient resources and competent health and medical personnel, alongside social discrimination, stigma, and marginalization. Artificial intelligence-enabled t…
preprints
2025
置信度 0.74
-
Abstract Background Innovations in Artificial Intelligence (AI) and Virtual Reality (VR) are driving transformative changes in medical imaging and education by enabling automated segmentation and immersive visualization. Traditional anatomy and imaging instruc…
preprints
2025
置信度 0.74
-
The integration of artificial intelligence (AI) into healthcare promises transformative efficiencies, yet it also raises concerns about potential cost escalations. This paper examines a simulated patient-AI interaction involving a 56-year-old man, Edoardo, pre…
preprints
2025
置信度 0.74
-
Artificial intelligence (AI) is rapidly transforming healthcare, yet its integration into medical education remains inconsistent and lacks standardization across training levels. This comprehensive review synthesizes current research on AI applications within …
preprints
2025
置信度 0.74
-
Abstract Artificial intelligence (AI) is transforming global healthcare by improving diagnostic accuracy, efficiency, and clinical decision-making. However, its implementation in low-resource settings (LRS) remains constrained by weak digital infrastructure, f…
preprints
Abdulelah Mansoor Al-Ganad, Ahmed H. Al-Shahethi, Othman Al-Dhaifi, Essam Hajeb 等
2025
置信度 0.74
InteroperabilityData governanceSophisticationKnowledge managementComputer science
-
Involving end-users in the development of an AI tool is an important facilitator to its implementation. Usability testing was therefore conducted with a prototype user interface of an Artificial Intelligence driven air-Safety Tool (AISaT) to capture the perspe…
preprints
2026
置信度 0.74
-
Herpesvirus infections, including herpes simplex virus (HSV), Epstein-Barr virus (EBV), and cytomegalovirus (CMV), present significant challenges in diagnosis, treatment, and transmission control. Despite advances in medical technology, managing these infectio…
preprints
2025
置信度 0.74
-
The ability to predict scientific breakthroughs at scale would accelerate the pace of discovery and improve the efficiency of research investments. Recent advances in artificial intelligence, graph theory, and computing power have provided new ways to pursue t…
preprints
2025
置信度 0.74
-
Artificial intelligence (AI) in healthcare holds transformative potential but risks exacerbating existing health disparities if inclusivity is not explicitly accounted for. This study addresses the disconnected discussions on inclusive medical AI by developing…
preprints
2025
置信度 0.74
-
Abstract Artificial intelligence is taking over the technology transmission in all areas. Generative AI is now mostly used in the healthcare sector due to its vivid application area. The emergence of Generative Adversial Network (GAN) in medical domain is high…
preprints
2025
置信度 0.74
-
Background Artificial Intelligence has increasingly been integrated into clinical practice, yet its adoption and perception among medical professionals remain poorly understood, particularly in the Italian healthcare system. To investigate Italian physicians’ …
preprints
2025
置信度 0.74
-
Abstract Background: Large language models (LLMs) are increasingly applied in clinical use and medical education, yet their reliability across both textual and visual modalities in highly specialized domains such as neurosurgery remains unclear. Prior evaluati…
preprints
2025
置信度 0.74
-
Abstract Artificial intelligence has made impressive progress in healthcare, yet real-world clinical adoption remains limited due to a fundamental disconnect between static prediction models and dynamic clinical workflows. Current systems fail to capture the s…
preprints
2025
置信度 0.74
-
Abstract Study Objective: To evaluate the clinical effectiveness and feasibility of a novel AI-assisted anesthesia evaluation system compared with conventional preoperative anesthesia assessments. Design: Single-center, randomized, parallel-group, open-label, …
preprints
2025
置信度 0.74
-
Chronic psychosocial stress (CPS) is associated with adverse brain and mental health outcomes. Effects on the cerebral microvasculature have been proposed as an underlying mechanism, although this remains to be established. Here, we examined the association be…
preprints
2026
置信度 0.74
-
ABSTRACT Introduction Prostate cancer diagnosis and treatment planning depend on accurate histopathological assessment of needle biopsies, particularly through the Gleason scoring system. The inherently subjective nature of the grading creates variability betw…
preprints
2025
置信度 0.74
-
Abstract Background Growing ethical concerns have emerged regarding the misuse of generative artificial intelligence (GenAI) for academic assignments among undergraduate medical students. Given that the quality of medical education directly shapes students’ pr…
preprints
2025
置信度 0.74
-
Generative artificial intelligence (GenAI), particularly large language models (LLMs) like ChatGPT, is emerging as a tool to address declining birth rates and rising infertility. It enhances reproductive education, preventive interventions, and doctor-patient …
preprints
2025
置信度 0.74
-
Deep learning methods trained on protein structure databases have revolutionized biomolecular structure prediction, but developing and training new models remains a considerable challenge. To facilitate the development of new models, we present AtomWorks: a br…
preprints
2025
置信度 0.74
-
Abstract Objective To explore the auxiliary role and application of deep learning-based artificial intelligence (AI) in quality control (QC) evaluation of digital pathological section. Methods A total of 2137 routine hematoxylin and eosin (HE) slides from Depa…
preprints
2025
置信度 0.74
-
Background Artificial intelligence (AI) has potentially shown promise in interpreting ultrasound imaging through flexible pattern recognition and algorithmic learning, but implementation in clinical practice remains limited. This study aimed to investigate the…
preprints
2025
置信度 0.74
-
Well-annotated datasets are fundamental for developing robust artificial intelligence models, particularly in medical fields. Many existing skin lesion datasets have limitations in image diversity (including only clinical or dermoscopic images) or metadata, wh…
preprints
2025
置信度 0.74
-
Abstract Purpose As artificial intelligence (AI) models evolve into their next generations, their application in specialized medical fields requires rigorous validation. While large language models (LLMs) have shown promise in general medicine, their reliabili…
preprints
2025
置信度 0.74
-
The integration of Artificial Intelligence (AI) into global healthcare systems has revolutionized diagnostic accuracy and speed. Yet, in African contexts, this transformation remains marked by structural marginalization and epistemic dissonance. AI-driven diag…
preprints
2025
置信度 0.74
-
Abstract Background Artificial intelligence (AI), particularly large language models like ChatGPT, is increasingly shaping medical education. While these systems show promise for automated feedback and adaptive assessments, their performance in visually intens…
preprints
2025
置信度 0.74
-
Abstract Background: Automatic segmentation is indispensable in medical imaging, yet advanced tools often remain confined to experts due to command-line complexity. TotalSegmentator delivers accurate multi-organ segmentation, but lacks accessibility for clinic…
preprints
2025
置信度 0.74
-
Abstract The development of artificial intelligence (AI) for healthcare, particularly in high-stakes environments like intensive care units, presents significant interdisciplinary challenges. These challenges arise from the need to integrate diverse expertise …
preprints
2025
置信度 0.74
-
As artificial intelligence (AI) continues to transform the landscape of healthcare, the integration of Explainable Artificial Intelligence (XAI) into clinical decision support systems (CDSS) has emerged as a critical necessity. This chapter explores the vital …
preprints
2025
置信度 0.74
-
Artificial intelligence (AI) systems often need to follow both ethical and legal rules. Sometimes, these rules can conflict. For example, a healthcare AI may need patient consent (ethical rule), but the law might allow data sharing in emergencies (legal rule).…
preprints
2025
置信度 0.74
-
Artificial intelligence (AI) is increasingly permeating healthcare, from physician assistants to consumer applications. Since AI algorithm’s opacity challenges human interaction, explainable AI (XAI) addresses this by providing AI decision-making insight, but …
preprints
2025
置信度 0.74
-
Abstract Background The study aims to compare the efficacy of a virtual simulation-based teaching approach with a traditional method for clinical thinking training in temporomandibular disorders(TMD) for dental students. Methods This study developed a virtual …
preprints
2026
置信度 0.74
-
Abstract Objective This study aims to scientifically evaluate the responses provided by ChatGPT 4o to patient-posed questions regarding clear aligner treatment and to investigate the impact of artificial intelligence on medical processes. Materials and Methods…
preprints
2025
置信度 0.74
-
Abstract Aims Despite their strong predictive performance, complex machine learning (ML) models are often criticized for their lack of interpretability, especially in high-stakes clinical settings. This study aims to compare two leading explainable artificial …
preprints
2025
置信度 0.74
-
Abstract Background Artificial intelligence (AI) enables computers to process data and solve problems via algorithms, with China at the forefront of medical AI applications like diagnostics. Medical students increasingly rely on AI tools (e.g., ChatGPT) for ed…
preprints
2025
置信度 0.74
-
Abstract Background Artificial intelligence (AI) is gaining traction in healthcare, with Chat GPT used for medical information retrieval. However, there is limited real-world evidence on how medical professionals in regions like India perceive, use these tools…
preprints
2025
置信度 0.74
-
Background: In pre-market drug safety review, grouping related adverse event terms into Standardised MedDRA Queries (SMQ) or the FDA Office of New Drugs Custom Medical Queries (OCMQs) is critical for signal detection. Objective: We assess the performance of Sa…
preprints
2025
置信度 0.74
-
Background: Artificial Intelligence (AI) is reshaping healthcare and medical education, with growing calls to embed it in medical curricula. However, evidence on first-year medical students, perceived benefits and limitations of AI, and views on ethics and pro…
preprints
2025
置信度 0.74
-
Abstract Accurately modelling diffusion dynamics in complex networks is essential for improving medical outcomes, guiding pandemic preparedness, and optimizing resource allocation in public health. However, existing approaches often face a trade-off between pr…
preprints
2025
置信度 0.74
-
ABSTRACT Artificial intelligence (AI) is dramatically changing the healthcare landscape by providing patients, clinicians, administrators, and public health professionals with tools aiming to improve efficiency, outcomes, and experience in health. As elsewhere…
preprints
2026
置信度 0.74
-
Background Artificial intelligence chatbots (AICs) are advanced systems capable of generating and processing human-like text, and are being increasingly integrated in various fields, including education. Despite their potential to significantly impact learning…
preprints
2025
置信度 0.74
-
ABSTRACT Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we combined two complementary approaches, a data-driven analysis of 916,824 AI-related…
preprints
2025
置信度 0.74
-
Abstract The growing demand for publication in Scopus-indexed journals has reshaped the priorities of researchers, particularly in the medical sciences, where academic advancement and institutional reputation are closely tied to indexed output. Yet, despite ex…
preprints
2025
置信度 0.74
-
Digital health technologies (DHTs), including digital therapeutics (DTx), are revolutionizing patient care by enabling the prevention, management, and treatment of medical conditions. These tools comprise care delivery mobile applications, wearable devices, an…
preprints
2025
置信度 0.74
-
The integration of Artificial Intelligence (AI) into healthcare is rapidly transforming diagnostic, predictive, and treatment planning paradigms, offering significant potential to enhance medical decision-making. However, this technological advancement introdu…
preprints
2025
置信度 0.74
-
Aims: . To learn effectively, students need timely, specific, actionable feedback---known as formative feedback---on what and how well they are learning and on how to improve further. Providing feedback to help students learn pharmacology effectively is a comp…
preprints
2025
置信度 0.74