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Recent progress in generative artificial intelligence (AI) has given rise to large language models (LLMs) that can be prompted to craft persuasive essays, 1 pass professional competency exams, [2][3][4] and write patient-friendly empathetic messages.5 Amid gro…
europepmc
2024
置信度 0.80
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The development and commercialisation of medical decision systems based on artificial intelligence (AI) far outpaces our understanding of their value for clinicians. Although applicable across many forms of medicine, we focus on characterising the diagnostic d…
europepmc
2024
置信度 0.80
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Artificial intelligence (AI), including large language models (LLM), is likely to have an increasing influence on medical systems. There have been increasing discussions about the best approaches to trial and regulate such algorithms.1 An important aspect of t…
europepmc
2024
置信度 0.80
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Abstract Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification…
europepmc
2024
置信度 0.80
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In recent decades, the integration of artificial intelligence (AI) into health care has revolutionized diagnostics, treatment customization, and delivery. In low-resource settings, AI offers significant potential to address health care disparities exacerbated …
europepmc
2025
置信度 0.80
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Background Given recent advances in artificial intelligence (AI) in medical education and healthcare, it is essential to examine the perceptions and readiness of medical students. As future medical professionals, their ability to utilize this emerging technolo…
europepmc
2025
置信度 0.80
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This paper introduces the Team Card (TC) as a protocol to address harmful biases in the development of clinical artificial intelligence (AI) systems by emphasizing the often-overlooked role of researchers' positionality. While harmful bias in medical AI, parti…
europepmc
2025
置信度 0.80
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Background Measuring artificial intelligence (AI) readiness among medical students is essential to assess how prepared future doctors are to work with AI technology. Therefore, this study aimed to examine the factors influencing AI readiness among medical stud…
europepmc
2025
置信度 0.80
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With the improvement of economic conditions and the increase in living standards, people’s attention in regard to health is also continuously increasing. They are beginning to place their hopes on machines, expecting artificial intelligence (AI) to provide a m…
europepmc
Fangfang Gou, Jun Liu, Chunwen Xiao, Jia Wu
2024
置信度 0.80
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europepmc
2025
置信度 0.80
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INTRODUCTION: Medical students, as future healthcare professionals, are pivotal in the adoption and application of artificial intelligence (AI) in clinical settings. Their ability to effectively engage with AI technologies is shaped by their understanding, att…
europepmc
Diwakar Dhurandhar, Mithilesh Dhamande, C Shivaleela, Pooja Bhadoria 等
2025
置信度 0.80
MedicineMedical educationFamily medicine
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Background Artificial intelligence (AI) chatbots have recently gained use in medical practice by health care practitioners. Interestingly, the output of these AI chatbots was found to have varying degrees of hallucination in content and references. Such halluc…
europepmc
2024
置信度 0.80
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Objective To assess the current trends in the field of artificial intelligence in medicine by analysing 100 most cited original articles relevant to the field. Methods The bibliometric analysis was conducted in September 2022, and comprised literature search o…
europepmc
2024
置信度 0.80
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Advances in artificial intelligence (AI) and machine learning systems promise faster, more efficient, and more personalized care. While many of these models are built on the premise of improving access to the timely screening, diagnosis, and treatment of cardi…
europepmc
2025
置信度 0.80
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europepmc
2024
置信度 0.80
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Background The field of Artificial Intelligence (AI) holds transformative potential in medicine. However, the lack of universal reporting guidelines poses challenges in ensuring the validity and reproducibility of published research studies in this field. Meth…
europepmc
2024
置信度 0.80
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europepmc
2024
置信度 0.80
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During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-care resource constraints. Previous research shows that health-care datasets often have limitations, leading to biased AI technologies. This systematic review asse…
europepmc
2024
置信度 0.80
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Background Artificial intelligence technologies are one of the most important technologies of today. Developments in artificial intelligence technologies have widespread and increased the use of artificial intelligence in many areas. The field of health is als…
europepmc
2024
置信度 0.80
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Medical artificial intelligence (AI) has tremendous potential to advance healthcare by supporting and contributing to the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving both healthcare provider and patient e…
europepmc
2023
置信度 0.80
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europepmc
2023
置信度 0.80
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The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new paradigm for medical AI, which we refer to as generalist medical AI (GMAI). GMAI mode…
europepmc
2023
置信度 0.80
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Aims This study aims to assess the relationship between management nurses' leadership self-efficacy and medical artificial intelligence readiness. Methods The research was conducted using a descriptive-correlational design. The sample of the study consisted of…
europepmc
2024
置信度 0.80
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Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are "black boxes." The initial response in the literature was a demand for "explainable AI." However…
europepmc
2022
置信度 0.80
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Background There is great interest in using artificial intelligence (AI) to screen for skin cancer. This is fueled by a rising incidence of skin cancer and an increasing scarcity of trained dermatologists. AI systems capable of identifying melanoma could save …
europepmc
2024
置信度 0.80
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Background The growing application of artificial intelligence (AI) in healthcare has brought technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by many risks and challenges. These adverse effects are also seen as ethical …
europepmc
2023
置信度 0.80
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Artificial intelligence (AI) models have shown great accuracy in health screening. However, for real-world implementation, high accuracy may not guarantee cost-effectiveness. Improving AI's sensitivity finds more high-risk patients but may raise medical costs …
europepmc
2024
置信度 0.80
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Background Artificial intelligence's advancement in medicine and its worldwide implementation will be one of the main elements of medical education in the coming years. This study aimed to translate and psychometric evaluation of the Persian version of the med…
europepmc
2023
置信度 0.80
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Highlights-Medical artificial intelligence (AI) has the potential to improve the quality and efficiency of patient assessment and diagnosis.-Here, the topics of data collection, efficiency and feasibility, and patentability are discussed in relation to the imp…
europepmc
2023
置信度 0.80
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Background The widespread diffusion of Artificial Intelligence (AI) platforms is revolutionizing how health-related information is disseminated, thereby highlighting the need for tools to evaluate the quality of such information. This study aimed to propose an…
europepmc
2024
置信度 0.80
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europepmc
2024
置信度 0.80
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Abstract Introduction : Recent advances in artificial intelligence and machine learning (AI/ML) are transforming radiology practices. While AI/ML innovations present opportunities to augment radiologists' capabilities, some have expressed concerns about AI/ML …
europepmc
2023
置信度 0.80
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Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep learning (DL). However, building powerful and robust DL models requires training with large multi-party datasets. While multiple stakeholders have provided publi…
europepmc
2023
置信度 0.80
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Background Artificial intelligence (AI) technologies are transforming medicine and healthcare. Scholars and practitioners have debated the philosophical, ethical, legal, and regulatory implications of medical AI, and empirical research on stakeholders' knowled…
europepmc
2023
置信度 0.80
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Artificial intelligence (AI) plays a rapidly increasing role in clinical care. Many of these systems, for instance, deep learning-based applications using multilayered Artificial Neural Nets, exhibit epistemic opacity in the sense that they preclude comprehens…
europepmc
2024
置信度 0.80
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Introduction There are numerous cases where artificial intelligence (AI) can be applied to improve the outcomes of medical education. The extent to which medical practitioners and students are ready to work and leverage this paradigm is unclear in Iran. This s…
europepmc
2023
置信度 0.80
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Objectives Although medical artificial intelligence (AI) systems that assist healthcare professionals in critical care settings are expected to improve healthcare, skepticism exists regarding whether their potential has been fully actualized. Therefore, we aim…
europepmc
2023
置信度 0.80
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Background Artificial intelligence (AI) application is increasingly used in all fields, especially, in medicine. However, for the successful incorporation of AI-driven tools into medicine, healthcare professional should be equipped with the necessary knowledge…
europepmc
2024
置信度 0.80
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Introduction Artificial intelligence (AI) has the potential to transform clinical decision-making as we know it. Powered by sophisticated machine learning algorithms, clinical decision support systems (CDSS) can generate unprecedented amounts of predictive inf…
europepmc
2023
置信度 0.80
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The use of artificial intelligence (AI) has grown dramatically in the past few years in the United States and worldwide, with more than 300 AI-enabled devices approved by the U.S. Food and Drug Administration (FDA). Most of these AI-enabled applications focus …
europepmc
2022
置信度 0.80
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The rapid development of artificial intelligence (AI) in medicine has resulted in an increased number of applications deployed in clinical trials. AI tools have been developed with goals of improving diagnostic accuracy, workflow efficiency through automation,…
europepmc
2022
置信度 0.80
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Background It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Purpose This study examined the impact of an AI course in the …
europepmc
2023
置信度 0.80
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With the rapid development of high-throughput sequencing technology and computer science, the amount of large omics data has increased exponentially, the advantages of multi-omics analysis have gradually emerged, and the application of artificial intelligence …
europepmc
2021
置信度 0.80
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With the continuous deepening of artificial intelligence (AI) in the medical field, the social risks brought by the development and application of medical AI products have become increasingly prominent, bringing hidden worries to the protection of civil rights…
europepmc
2022
置信度 0.80
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Medical artificial intelligence is cost-effective and scalable and often outperforms human providers, yet people are reluctant to use it. We show that resistance to the utilization of medical artificial intelligence is driven by both the subjective difficulty …
europepmc
2021
置信度 0.80
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In the medical field, artificial intelligence has been used in various ways with many developments. However, most artificial intelligence technologies are developed so that one model can perform only one task, which is a limitation in designing the complex rea…
europepmc
2022
置信度 0.80
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Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor-patient relationships, trust is therefore regularly suggested as a way of dealing wit…
europepmc
2022
置信度 0.80
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Medical artificial intelligence (AI) has been moving from the research phase to clinical implementation. However, most AI-based models are mainly built using high-quality images preprocessed in the laboratory, which is not representative of real-world settings…
europepmc
2023
置信度 0.80
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Medical artificial intelligence is cost-effective, scalable, and often outperforms human providers. One important barrier to its adoption is the perception that algorithms are a “black box”—people do not subjectively understand how algorithms make medical deci…
europepmc
2021
置信度 0.80
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Medical artificial intelligence (AI) is important for future health care systems. Research on medical AI has examined people's reluctance to use medical AI from the knowledge, attitude, and behavioral levels in isolation using a variable-centered approach whil…
europepmc
2022
置信度 0.80
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Objectives Implementing ethics is crucial to prevent harm and promote widespread benefits in social experiments based on medical artificial intelligence (MAI). However, insufficient information is available concerning this within the paediatric healthcare sect…
europepmc
2023
置信度 0.80
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Machine learning applications are increasingly used in medicine. The \ndemand for ‘augmented doctors,’1 or ‘enhanced physicians’, that is, \nphysicians capitalising rather than opposing incoming technology, \nhas been recognised. However, teaching medical Arti…
europepmc
2021
置信度 0.80
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Artificial intelligence (AI) has the potential to transform the delivery of health care by automating complex tasks that traditionally required substantial training and expertise. Contrary to concerns that fully automated AI will replace health-care providers,…
europepmc
2020
置信度 0.80
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With the impact of artificial intelligence (AI) algorithms on medical research on the rise, the importance of competitions for comparative validation of algorithms, so-called challenges, has been steadily increasing, to a point at which challenges can be consi…
europepmc
2021
置信度 0.80
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There is a growing consensus among scholars, national governments, and intergovernmental organisations of the need to involve the public in decision-making around the use of artificial intelligence (AI) in society. Focusing on the UK, this paper asks how that …
europepmc
2022
置信度 0.80
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Background: Modern artificial intelligence applications are appearing in healthcare and medical practices. Artificial intelligence is used both in medical research and on patients via medical devices. The aim of this paper is to examine and compare English and…
europepmc
2021
置信度 0.80
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As an important branch of artificial intelligence,the emerging medical artificial intelligence(MAI)is facing many ethical issues.MAI may offer the optimal diagnosis and treatment for patients but may also bring adverse effects on society and human beings.This …
europepmc
2020
置信度 0.80
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Medical artificial intelligence (MAI) creates an opportunity to radically expand access to healthcare across the globe by allowing us to overcome the persistent labor shortages that limit healthcare access. This democratization of healthcare is the greatest mo…
europepmc
2022
置信度 0.80
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In their Comment, Shreenik Kundu and colleagues convincingly argue that ethical artificial intelligence (AI) could help humanitarian organisations respond to worsening aid shortfalls by improving data collection and analysis.1 Humanitarian systems face expandi…
europepmc
2027
置信度 0.80
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Background It is unlikely that applications of artificial intelligence (AI) will completely replace physicians. However, it is very likely that AI applications will acquire many of their roles and generate new tasks in medical care. To be ready for new roles a…
europepmc
2021
置信度 0.80
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Artificial intelligence or AI has been heralded as the most transformative technology in healthcare, including critical care medicine. Globally, healthcare specialists and health ministries are being pressured to create and implement a roadmap to incorporate a…
europepmc
2020
置信度 0.80
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Medicine is at a disciplinary crossroads. With the rapid integration of Artificial Intelligence (AI) into the healthcare field the future care of our patients will depend on the decisions we make now. Demographic healthcare inequalities continue to persist wor…
europepmc
2020
置信度 0.80
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Background To investigate the attitude and formal suggestions on talent cultivation in the field of medical artificial intelligence (AI). Methods An electronic questionnaire was sent to both medical-related field or non-medical field population using the WenJu…
europepmc
2020
置信度 0.80
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See the associated article on page [17][1]. Artificial intelligence (AI) is rapidly entering medical practice, whether for risk prediction, diagnosis, or treatment recommendation. But a persistent question keeps arising: What happens when things go wrong? When…
europepmc
2021
置信度 0.80
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Background The increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from almos…
europepmc
2021
置信度 0.80
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Objective It provides reference for accurate and efficient supervision of medical artificial intelligence industry. Methods By summarizing the main responsibility dilemma of medical artificial intelligence diagnosis products, sorting out relevant researches at…
europepmc
2021
置信度 0.80
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The Food & Drug Administration (FDA) is considering the permanent exemption of premarket notification requirements for several Class I and II medical device products, including several artificial Intelligence (AI)-driven devices. The exemption is based on the …
europepmc
2021
置信度 0.80
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Following a boom in investment and overinflated expectations in the 1980s, artificial intelligence entered a period of retrenchment known as the "AI winter." With advances in the field of machine learning and the availability of large datasets for training var…
europepmc
2018
置信度 0.80
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Journal of the American Medical Informatics Association, 2021, doi: 10.1093/jamia/ocab035 The author name “Matthew P Lungren” was incorrectly given as “Matthew P Lundgren”. “CDRH” should have been defined at its first appearance, and incorrectly appeared in th…
europepmc
2021
置信度 0.80
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europepmc
2027
置信度 0.80
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Purpose To survey the perception, knowledge, wishes, and expectations of Korean radiology residents regarding artificial intelligence (AI) in radiology. Materials and methods From June 4th to 7th, 2019, questionnaires comprising 19 questions related to AI were…
europepmc
2020
置信度 0.80
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Background Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in health and health care. In this study, we aimed to (1) assess whe…
europepmc
2020
置信度 0.80
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Artificial Intelligence (AI) in healthcare has become a quasi-normal subject (1). In the last few years, there has been an impressive increase in the number of publications concerning the application of machine learning (ML), a set of techniques and models for…
europepmc
2019
置信度 0.80
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Background: Artificial intelligence (AI) is a rapidly developing computer technology that has begun to be widely used in the medical field to improve the professional level and efficiency of clinical work, in addition to avoiding medical errors. In developing …
europepmc
2018
置信度 0.80
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Background Emerging evidence indicates the functional importance of the thymus in adult health and may influence oncologic outcomes, yet current radiotherapy (RT) practice does not consider the thymus as an organ of interest. Because RT may incidentally expose…
europepmc
2026
置信度 0.80
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Evidence-based clinical decision support artificial intelligence (AI) is rapidly expanding, but its safe and effective use depends on rigorous validation, trustworthy evidence sources and careful integration into clinical workflows. Current available systems s…
europepmc
2026
置信度 0.80
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As Academic Medicine celebrates a century of contributions to medical education, it is worth examining the questions that drove the inaugural issues of the journal and what lessons these may provide today. Although 1926 was a year adjacent to many global shock…
europepmc
2026
置信度 0.80
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Most artificial intelligence (AI) models used in radiology are black boxes-they produce predictions without explaining the basis of their outputs, raising concerns about clinical safety, accountability, and trust. To address this, a growing body of methods has…
europepmc
2026
置信度 0.80
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Zhou et al published a study in the recent issue of the World Journal of Gastroen terology , which aimed to examines the concept of artificial wisdom (AW) as applied to historical medical inquiry, in response to a recent artificial intelligence (AI)-human anal…
europepmc
2026
置信度 0.80
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Diabetic foot ulcers (DFUs) arise within a dysregulated wound microenvironment in which sustained inflammation, bacterial susceptibility, and excessive oxidative stress collectively impede tissue repair. To address these interrelated barriers, we developed an …
europepmc
2026
置信度 0.80
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Objectives This systematic review aimed to investigate the current development and application landscape of generative artificial intelligence (Gen-AI) networks specifically designed for dental and maxillofacial radiology (DMFR) and summarize their potential a…
europepmc
2026
置信度 0.80
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A large academic medical center in the Pacific Northwest addressed perioperative staffing challenges by implementing a workflow with application of AI assistance to optimize daily assignments. The initiative integrated real-time and historical data to support …
europepmc
2026
置信度 0.80
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Reviewing postmortem photographs is routine in forensic pathology. Although standard photographic techniques are used, sorting postmortem photographs can be overly time-consuming, especially when reviewing large quantities of photographs. Artificial intelligen…
europepmc
2026
置信度 0.80
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Background Artificial intelligence chatbots, particularly ChatGPT, have emerged as increasingly popular sources of health information for the general public. However, concerns persist regarding the accuracy, safety, and appropriateness of AI-generated medical …
europepmc
2026
置信度 0.80
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Background Generative artificial intelligence tools are increasingly used in nursing education, but excessive reliance on externally generated reasoning may be associated with reduced cognitive engagement. Evidence remains limited on whether within-person chan…
europepmc
2026
置信度 0.80
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Background Generative artificial intelligence is increasingly embedded in graduate nursing research environments. Within this context, patterns of reliance on these tools, extending in some cases to dependency, have emerged among nursing graduate students, rai…
europepmc
2026
置信度 0.80
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Peer review remains a cornerstone of academic publishing, underpinning the integrity and credibility of the scientific literature. High-quality peer review is both a human art and a learned skill, requiring an understanding of study design, critical appraisal …
europepmc
2026
置信度 0.80
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Application exercises are the most critical components of the sequenced steps of team-based learning (TBL) that should be designed as complex, real-world problems to elicit deep learning and foster student engagement. The process of crafting these exercises pr…
europepmc
2026
置信度 0.80
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Background Obesity is a chronic, multifactorial disease that demands personalized and sustainable management approaches. Digital health technologies, such as artificial intelligence, wearable devices, mobile health apps, and virtual reality (VR), may support o…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is transforming medical imaging and digital health, yet standard pre-market clearances evaluate algorithms under static, idealised conditions. Once deployed, imaging AI can degrade because of scanner drift, acquisition protocol shi…
europepmc
2026
置信度 0.80
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Chloe Tan Yong Han, David Marshall, Elaine Burke, MB, PhD; Artificial intelligence in medical education: promise, caution, and the need for restraint, Acad
europepmc
2026
置信度 0.80
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Objectives Artificial intelligence (AI) systems are increasingly adopted in scientific visualization, clinical sciences, medical education, and health sciences research. Despite its impressive generative capabilities, the AI role remains poorly established in …
europepmc
2026
置信度 0.80
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Introduction Artificial intelligence tools have rapidly become integrated in health care settings and are quickly affecting medical student education. However, there remains limited formal teaching on such tools in student curricula. This project sought to int…
europepmc
2026
置信度 0.80
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Introduction Self-directed learning (SDL) and reflection are critically important for clinicians. There is limited evidence describing the utilization of artificial intelligence (AI) to support medical SDL. AI simulated patients (AISP) may allow for high-fidel…
europepmc
2026
置信度 0.80
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Chronic lung allograft dysfunction (CLAD) remains the leading cause of late mortality after lung transplantation, yet current diagnosis mainly depends on lung function decline. We investigated whether dual-tracer positron emission tomography (PET) imaging with…
europepmc
2026
置信度 0.80
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Aim To compare the multidimensional performance of discharge instructions generated by generative AI (GPT-4) versus those created by clinical registered nurses across three dimensions-accuracy, empathy and readability-and to explore the impact of patient. Desi…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) has emerged as a promising tool to improve the objectivity and reproducibility of hypospadias assessment. However, evidence regarding its clinical applications remains fragmented. This systematic review and meta-analysis evaluated …
europepmc
2026
置信度 0.80
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This study examines whether artificial intelligence improves health performance in developing countries and identifies the mechanisms and conditions through which this effect occurs. Using panel data for 19 developing countries over the period 2015-2023, the s…
europepmc
2026
置信度 0.80
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Objective Recently, polyethylene glycol modification has become key to improving biopharmaceutical pharmacokinetics and clinical applicability. This study aims to build a comprehensive analytical framework that integrates current status analysis, technology fl…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80