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Background Predicting postoperative complications (POCs) in gastric cancer (GC) patients is increasingly important in clinical practice. Computed tomography (CT)-derived body composition (BC) parameters, reflecting nutritional and physiological status, have em…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) technologies have begun to be used more frequently in forensic sciences, just as in every other field of medicine, and have become part of research topics. This study aims to conduct a comprehensive bibliometric analysis to systema…
europepmc
2026
置信度 0.80
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Primary osteosarcoma predominantly originates in the metaphyseal region of long bones, but rarely in the metatarsals. We present the 18F-FDG PET/CT findings in a case of primary osteosarcoma of the first metatarsal with multiple metastases confirmed by histopa…
europepmc
2026
置信度 0.80
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Emergency medicine specialists often pursue subspecialty training worldwide. In Türkiye, subspecialization in critical care medicine was introduced in March 2024, with the first entrance examination for subspecialty training in medicine (YDUS) examination havi…
europepmc
2026
置信度 0.80
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Background The growing population of cancer survivors faces immense monitoring burdens due to rigid follow-up guidelines, such as the intensive surveillance schedules recommended by the National Comprehensive Cancer Network (NCCN). To address this issue, we en…
europepmc
2026
置信度 0.80
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Background To investigate the effectiveness of an artificial intelligence (AI)-based computer-aided detection (CAD) system in identifying incidental lung cancer on cardiac computed tomography (CT) scans and to compare its performance with that of radiologists.…
europepmc
2026
置信度 0.80
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Objectives This study aims to evaluate the diagnostic performance of an artificial intelligence (AI) algorithm for detection, segmentation, and volumetric quantification of pneumoperitoneum on abdominal CT scans. Materials and methods We developed and validate…
europepmc
2026
置信度 0.80
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Background/Objectives : Artificial intelligence models may retain acceptable discrimination while calibration and predictor-risk relationships change across populations and data-collection systems. We evaluated a structured algorithmovigilance framework for de…
europepmc
2026
置信度 0.80
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The original cohortExtensive research of the Developmental Origins of Health and Disease (DOHaD) has demonstrated associations between earlylife conditions, perinatal outcomes, and long-term health and disease [1].In the last decades, we have shifted the expos…
europepmc
2026
置信度 0.80
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Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) is rapidly transforming healthcare. Current and future healthcare workforce, including nursing students, require sufficient understanding of responsible AI use. However, data about knowledge, attitudes, practices and eth…
europepmc
2026
置信度 0.80
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Objectives This study aimed to compare the agreement and consistency of classifications generated by ChatGPT-4.5 and Meta AI (Llama 4 Scout) with those of the UpToDate Lexidrug reference standard for identifying potential drug interactions involving antihypert…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) applications in managed care pharmacy depend on semantically consistent medication data, yet heterogeneous medication identifiers across real-world electronic health records (EHRs) could undermine analytic fidelity and r…
europepmc
2026
置信度 0.80
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The rapid adoption of artificial intelligence (AI) for COVID-19 pandemic diagnosis has exposed critical gaps in medical imaging datasets. This Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-compliant bibliometric review of 450 PubM…
pubmed
Menoudji Djetoyom P, Ngueilbaye A, Abakar Hamid A, Akofala A
2026
置信度 0.82
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Background Smart bioelectronics are electronic medical devices that combine hardware and artificial intelligence (AI)-based software. These convergent medical devices analyze bio-signals measured through hardware using AI algorithms and deliver physical stimul…
europepmc
2026
置信度 0.80
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Objectives In prehospital and in-hospital emergency care, artificial intelligence (AI)-enabled emergency medical services (EMS) systems are reshaping clinical workflows through real-time triage, automated hospital assignment, telemedicine, and biometric monito…
europepmc
2026
置信度 0.80
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Abstract Generative artificial intelligence (AI) is rapidly entering health professions education, yet its applications in laboratory-based disciplines have not been systematically mapped. This scoping review examined how generative AI is being used in medical…
europepmc
2026
置信度 0.80
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Introduction Artificial Intelligence (AI) is transforming dental education (DE) by advancing teaching strategies, clinical training, and patient care. Its integration allows for personalized learning experiences and realistic simulations, and equips students w…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) in coronary computed tomography angiography (CCTA) is increasingly recognized, but comprehensive bibliometric analyses on its integration are scarce. Hypothesis This study aims to bridge this gap by delineating research …
europepmc
2026
置信度 0.80
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Background Proficiency in cytopathologic diagnosis depends heavily on extensive hands-on practice and immediate error correction. Traditional teaching models, however, are constrained by limited practice opportunities and delayed feedback, which fails to meet …
europepmc
2026
置信度 0.80
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Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice faces no shortage of diagnostic examinations. The core challenge consists in inadequate recognition, integrat…
europepmc
2026
置信度 0.80
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Aim This study examined the relationship between medical artificial intelligence readiness and AI-related anxiety among nursing students following surgical nursing education. Methods A descriptive cross-sectional study was conducted with 252 nursing students f…
europepmc
2026
置信度 0.80
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Objective To evaluate radiologists' opinions on the clinical applications of artificial intelligence (AI), especially AI-based computer-aided detection (CAD), in breast imaging. Methods An IRB-exempt anonymous survey was distributed to Society of Breast Imagin…
europepmc
2026
置信度 0.80
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Accurate segmentation of lung and lesion regions from CT images is crucial for the diagnosis and quantitative assessment of lung diseases. Existing methods for lung CT segmentation suffer from limitations such as insufficient effective receptive field, limited…
europepmc
2026
置信度 0.80
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Environmental and human health applications of seaweeds (SWs) have received attention in recent years. However, previous reviews lack of covering SWs from cultivation to their various applications, along with the integration of artificial intelligence (AI). Th…
europepmc
2026
置信度 0.80
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Cone-beam computed tomography (CBCT) is the reference three-dimensional imaging modality for endodontic diagnosis and treatment planning, but its interpretation is time-consuming and varies between observers. Artificial intelligence (AI) and convolutional neur…
pubmed
Kachmar V
2026
置信度 0.82
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Background/Objectives : Cardiopulmonary resuscitation (CPR) skill assessments are susceptible to evaluator subjectivity, cognitive fatigue, and observational limitations. Although recent advances in multimodal artificial intelligence have increased the possibi…
europepmc
2026
置信度 0.80
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Artificial Intelligence (AI) is transforming healthcare by enabling faster and more accurate disease diagnosis. Early disease detection improves patient outcomes, reduces treatment costs, and increases survival rates. This paper examines the role of AI technol…
europepmc
2026
置信度 0.80
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Background Infectious diseases remain a major global health challenge, and while AI is rapidly advancing diagnostic techniques such as Computed Tomography (CT), Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), and ultrasound, its full pote…
europepmc
2026
置信度 0.80
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Background and purpose Recent studies have demonstrated bias in various medical imaging artificial intelligence (AI) models, yet the factors underpinning these biases remain relatively unclear. This study evaluated potential sociodemographic biases in AI-based…
europepmc
2026
置信度 0.80
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Objectives This systematic review evaluates the available evidence on the efficacy of commercially available AI-software applications for lung nodule assessment on CT scans. Materials and methods In adherence to PRISMA guidelines, a thorough search of electron…
europepmc
2026
置信度 0.80
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Rationale and objectives Although artificial intelligence (AI) clinical trials in medical imaging have grown rapidly, peer-reviewed publication outcomes and ClinicalTrials.gov portfolio shifts remain incompletely characterized. Materials and methods From a Cli…
europepmc
2026
置信度 0.80
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International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding is time-consuming, expensive, and error-prone, creating bottlenecks in clinical workflow and limiting scalabi…
europepmc
2026
置信度 0.80
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Background Recent advances in artificial intelligence (AI) have redefined shoulder arthroplasty, ultimately improving diagnostic accuracy, refining surgical planning, and personalizing recovery pathways. However, despite promising technical applications, compa…
europepmc
2026
置信度 0.80
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Background/Objectives: The diagnosis of interstitial lung disease (ILD) is challenging and frequently delayed. Clinically accessible and minimally invasive diagnostic tools are needed to expedite the diagnosis of ILD while minimizing risk to patients. Fibresol…
europepmc
2026
置信度 0.80
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Background Protecting the obturator nerve (ON) is crucial during selective lateral pelvic lymph node dissection (SLPLND). This study evaluated the feasibility of an artificial intelligence (AI)-assisted system for real-time intraoperative identification of the…
europepmc
2026
置信度 0.80
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In the critical stage of digital and intelligent transformation of stomatology, artificial intelligence (AI) technology has shown significant advantages in diagnosis, treatment planning and other fields. However, limited by the nature of disembodied intelligen…
europepmc
2026
置信度 0.80
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Background Stroke is a leading cause of long-term disability worldwide, yet existing clinical decision support tools rely on global disability metrics, such as the modified Rankin Scale, which do not adequately reflect patient-centered rehabilitation or recove…
europepmc
2026
置信度 0.80
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Background The integration of artificial intelligence in medical image classification for screening has the potential to enhance efficiency, diagnostic accuracy and accessibility. However, ethical concerns such as accountability, bias, transparency and the imp…
europepmc
2026
置信度 0.80
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Abstract Artificial intelligence (AI) is transforming how health care professionals develop, maintain, and express competence across the span of their careers. Traditional continuing professional development has been shaped by a paradigm of what has been calle…
europepmc
2026
置信度 0.80
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The rapid emergence of artificial intelligence (AI) has outpaced its formal adoption in health care organizations, contributing to the emergence of Shadow AI, defined here as the use of unauthorized AI tools by medical professionals. Under the European Union M…
pubmed
Petersson L, Irgang L, Mauritzon I, Holmén M
2026
置信度 0.82
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Background Artificial intelligence (AI) has been increasingly integrated with fetal and placental magnetic resonance imaging (MRI) to enhance the detection of abnormalities and streamline diagnostic processes. MRI, known for its superior soft tissue contrast a…
europepmc
2026
置信度 0.80
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Background The integration of artificial intelligence (AI) in dental and maxillofacial radiology is revolutionizing diagnostic accuracy and clinical decision-making. This bibliometric analysis investigates the research landscape, emerging trends, and scholarly…
europepmc
2026
置信度 0.80
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Tuberculosis (TB) remains the leading cause of death from infectious diseases globally, with significant diagnostic challenges in low- and middle-income countries. Artificial intelligence (AI) analysis of cough sounds could offer an inexpensive and accessible …
europepmc
2026
置信度 0.80
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The automatic detection of anomalies in medical images is a significant challenge in the assisted diagnosis of neurodegenerative diseases such as Alzheimer's. This paper presents an anomaly detection model based on Transformers for the analysis of brain magnet…
europepmc
2026
置信度 0.80
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Objective With the advent of artificial intelligence (AI), scientific research and writing has benefitted from large language models to generate hypotheses, evaluate data, and draft manuscripts. However, this brings into question the prevalence, impact, and et…
europepmc
2026
置信度 0.80
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Background and objectives Machine learning (ML) prognostic models in orthopedic surgery are published at an accelerating pace, yet whether reporting meets the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIP…
europepmc
2026
置信度 0.80
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Background The peer review system faces increasing strain from rising manuscript volumes, reviewer fatigue, and well-documented interreviewer disagreement. Large language models (LLMs) have shown potential to support the peer review process, but their ability …
europepmc
2026
置信度 0.80
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Low-dose computed tomography (LDCT) and low-dose positron emission tomography (LDPET) enable shorter acquisition times and lower radiation exposure. However, dose reduction leads to low-count data, which increases noise and variance and can introduce structure…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI)-assisted approaches may allow surgical research trends to be analyzed at scale and projected over time. However, their use in forecasting the evolution of microsurgical scholarship remains limited. This study developed a…
europepmc
2026
置信度 0.80
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Objective In emergency trauma care, artificial intelligence (AI) may aid fracture detection on radiographs, potentially reducing radiologists' workload. We evaluated the role of deep learning-based decision-support software in the reporting of trauma cases. Ma…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) has the potential to reshape learning processes, especially through tools such as ChatGPT. Objectives This study aims to evaluate veterinary students' attitudes towards AI-supported veterinary public health education app…
europepmc
2026
置信度 0.80
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Background Gastrointestinal stromal tumors (GISTs) are tumors with malignant potential. This research aims to develop an artificial intelligence (AI)-based system for analyzing endoscopic ultrasonography (EUS) visuals and generating risk scores. Aims This syst…
europepmc
2026
置信度 0.80
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Introduction Artificial intelligence (AI) is becoming increasingly relevant for public health practice. However, scalable training models and validated usability instruments for AI chatbots are still limited in non-English contexts. We aimed to (i) assess AI k…
europepmc
2026
置信度 0.80
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Oncology conditions are increasingly defined by their molecular profiles, and drug repurposing exploits this new evidence to identify new therapeutic uses of authorized/investigational medicinal products outside their original indication(s). This scoping revie…
pubmed
Ivanov A, Hababa-Ivanova I, Elitova S, Stoev S 等
2026
置信度 0.82
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Background &objective The application of Artificial Intelligence (AI) in medical education has emerged as a promising avenue for personalized learning experiences to the individual needs of medical students. This study investigated the impact of AI-driven pers…
europepmc
2026
置信度 0.80
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Background Nurse burnout is a pervasive global problem. Cognitive behavioral therapy (CBT) has been shown to reduce burnout; however, most digital CBT programs use standardized approaches that overlook individual differences in burnout profiles. With advances …
europepmc
2026
置信度 0.80
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Background and objective Cardiovascular diseases are the leading cause of mortality globally, requiring early and accurate detection through tools like electrocardiography. While artificial intelligence models have emerged to provide reproducible analysis of e…
europepmc
2026
置信度 0.80
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Objective Traditional lecture-based learning (LBL) is often insufficient for cultivating the practical decision-making skills required in high-stakes environments like Emergency Medical Response (EMR). While game-based learning (GBL) offers an immersive altern…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) tools, particularly large language models, are increasingly accessible to medical learners. Early attitudes toward AI may shape how students incorporate these tools into learning and professional development. This study captured fi…
europepmc
2026
置信度 0.80
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Background Appendicitis severity underpins contemporary management guidelines, where laparoscopic appendectomy remains gold standard. Preoperative measures poorly predict actual disease severity or complication risk, while operative grading systems such as the…
europepmc
2026
置信度 0.80
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In 2024, Suroit Hospital, a semirural hospital in Quebec, Canada, faced the imminent loss of 20 acute care beds following a provincial directive limiting the use of private agency nurses. This immediate workforce shortage threatened essential inpatient service…
europepmc
2026
置信度 0.80
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Artificial intelligence is rapidly transforming periodontal diagnosis, treatment planning and patient management; however, its adoption among dental professionals remains limited. Therefore, it is of interest to evaluate the knowledge, attitude and practice of…
europepmc
2026
置信度 0.80
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Rationale & objective Severe hypokalemia requires prompt management and close surveillance. Although artificial intelligence-enabled electrocardiography (AI-ECG) rapidly detects severe hypokalemia, its application for monitoring serum potassium (K + ) dynamics…
europepmc
2026
置信度 0.80
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Artificial intelligence is rapidly entering clinical practice, yet many physicians-especially those in solo or small-group settings-lack the guidance and evaluation resources needed to use these tools safely. Because state medical boards regulate physicians ra…
europepmc
2026
置信度 0.80
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Background/Objectives : Supraglottic and hypopharyngeal carcinomas are aggressive malignancies that are often diagnosed at advanced stages. Timely recognition of these malignancies is influenced by many factors, such as endoscope quality and experience. This s…
europepmc
2026
置信度 0.80
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Introduction To quantitatively assess the whole fundus tessellated density (FTD) using artificial intelligence (AI) and evaluate its association with myopia severity in Chinese children with myopia. Methods A cross-sectional analysis was conducted on participa…
europepmc
2026
置信度 0.80
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Introduction Artificial intelligence (AI) has evolved rapidly in recent years and is becoming increasingly integrated into many areas of medicine. In the medical field, these systems have attracted considerable attention because of their potential applications…
europepmc
2026
置信度 0.80
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Background Two provisions of the EU Artificial Intelligence Act (Regulation (EU) 2024/1689) now reach into radiological practice. Article 4, applicable since February 2025 and enforced from August 2026, requires a sufficient level of AI literacy in providers a…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) is increasingly recognized as a valuable tool for the early detection and prognosis of oral cancer, addressing the challenge of high mortality due to late diagnosis. Artificial intelligence based diagnostic models have t…
europepmc
2026
置信度 0.80
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Introduction Telehealth is a strategic component of primary health care and has advanced in Brazil through the National Telehealth Program. Its benefits can be enhanced by artificial intelligence (AI), which has emerged as a promising tool. This study aims to …
europepmc
2026
置信度 0.80
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Backgrounds Haematoma expansion (HE) is a significant factor in poor outcomes following intracerebral haemorrhage (ICH). Studies have suggested that acute intensive antihypertensive treatment could reduce HE. However, the impact of early intensive blood pressu…
europepmc
2026
置信度 0.80
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Background The sustainability of service quality in healthcare systems is directly related to accurate resource planning, especially in emergency departments with high unpredictability. This study aims to analyze the impact of meteorological factors on emergen…
europepmc
2026
置信度 0.80
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Background National Institutes of Health (NIH) investment in artificial intelligence (AI) within surgical specialties is rapidly expanding, yet whether funding aligns with disease burden or reflects structural disparities remains unclear. Study design Cross-se…
europepmc
2026
置信度 0.80
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When renal function is lost following resection of renal tumors, in the setting of end-stage kidney disease, or after traumatic nephrectomy, kidney transplantation is typically required; however, owing to constraints in healthcare resources, only a minority of…
europepmc
2026
置信度 0.80
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Background Health care providers spend an excessive amount of time within electronic medical record (EMR) systems documenting patient encounters, often amounting to hours of work outside of regular office hours. This affects physician productivity and directly…
europepmc
2026
置信度 0.80
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Background The issue of population aging has emerged as a critical global challenge, driving the imperative for effective self-care and scalable health management solutions for older adults. Against the backdrop of the accelerating application of generative ar…
europepmc
2026
置信度 0.80
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The rapid adoption of digital radiography in dentistry has generated large volumes of imaging data, creating opportunities for artificial intelligence (AI)-based tools to assist in diagnostic interpretation. AI, particularly machine learning and deep learning …
europepmc
2026
置信度 0.80
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Objectives This study critically examined the evolving role of artificial intelligence (AI ) in kidney transplantation, aiming to bridge the gap between theoretical promise and clinical implementation. The study evaluated AI -driven innovations across the tran…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Objective Psychotic symptoms are common in Parkinson's disease (PD), yet it remains unclear whether these manifestations reflect transient, medication-related phenomena or an increased risk of clinically diagnosed schizophrenia spectrum disorders (SSD). This s…
europepmc
2026
置信度 0.80
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Sepsis and severe infections remain major causes of morbidity and mortality worldwide, particularly in acute care settings where early recognition is critical. Artificial intelligence (AI)-based clinical decision support systems (CDSS) have emerged as promisin…
pubmed
Ibraheem M, Khalil M, Khalil S, Contreras H 等
2026
置信度 0.82
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Background Embedding models are an integral part of generative AI architectures, transforming text into embedding vectors that represent semantic content in numerical form. Despite their central role, their performance in clinical settings remains underexplore…
europepmc
2026
置信度 0.80
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Objectives Recent years have seen a rapid development of artificial intelligence (AI) tools to enhance radiologists' workflow, but most have focused on image acquisition and interpretation. Generating radiology reports is a critical element of practice but rem…
europepmc
2026
置信度 0.80
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Background Feedback is essential for medical students' learning during clinical clerkships; yet, supervising physicians often struggle to provide meaningful written feedback due to time constraints. Large language models offer a promising approach to supplemen…
europepmc
2026
置信度 0.80
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Background Peer teaching is an established pedagogical approach in medical education; yet, traditional methods face challenges including inconsistent knowledge support, variable teaching quality, and limited scalability. Artificial intelligence (AI) large lang…
europepmc
2026
置信度 0.80
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Background As artificial intelligence (AI) transforms medicine, understanding physicians' knowledge, attitudes, and practices (KAP) toward AI is crucial. However, large-scale nationwide studies among Chinese physicians are lacking. This study investigates KAP …
europepmc
2026
置信度 0.80
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Purpose Large language models (LLMs), such as OpenAI's ChatGPT, have demonstrated tutoring benefits in small-scale pilot studies within focused areas of medical education. This study evaluated the large-scale implementation of AI-teaching assistants (AI-TAs) w…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) chatbots are increasingly used by medical students for learning and examination preparation. However, their reliability in mechanistically demanding disciplines such as respiratory physiology remains insufficiently evalu…
europepmc
2026
置信度 0.80
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Background While artificial intelligence (AI) offers unprecedented capabilities for predictive modeling and precision asthma management, there is an urgent clinical necessity to successfully translate these rapid algorithmic innovations into real-world respira…
europepmc
2026
置信度 0.80
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Background The public release of DeepSeek marked a key turning point for generative artificial intelligence (GAI) uptake in China. This study assessed the so-called "DeepSeek effect" on Chinese academic critical care physicians (defined as clinicians with form…
europepmc
2026
置信度 0.80
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Reliable brain tumor detection in CT remains challenging due to low soft-tissue contrast, skull base complexity, and imaging artifacts. This study evaluates whether continuous neural representation learning improves classification performance and interpretabil…
europepmc
2026
置信度 0.80
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Statement of problem Large language model (LLM)-based artificial intelligence (AI) platforms have emerged as tools to support clinical decision-making in dentistry, but their alignment with high-level evidence from systematic reviews in implant prosthodontics …
europepmc
2026
置信度 0.80
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Objectives We examine how hospital characteristics relate to clinical and operational artificial intelligence (AI) adoption and implementation stages and characterize AI deserts and spatial clustering patterns to highlight place-based AI access gaps among Unit…
europepmc
2026
置信度 0.80
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Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reality (XR) and artificial intelligence (AI) applications remain heterogeneous. To map the educational application…
europepmc
2026
置信度 0.80
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Acute pancreatitis (AP) is a significant global health burden, with pancreatic fluid collections (PFCs) posing major diagnostic and therapeutic challenges. Distinguishing fluid-only pseudocysts from debris-containing walled-off necrosis is critical for managem…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) is gaining increasing significance in radiography. However, undergraduate radiography students often have limited exposure to AI principles and an incomplete understanding of its capabilities and limitations. This study …
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, automate image interpretation, and support clinical decision-making. In the field of spine care, applications include MRI and CT-based detection of lumbar disc degeneration, spin…
pubmed
Bensel VA, Habeck A, Brunot MH, Becton EJ 等
2026
置信度 0.82
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Background Artificial intelligence (AI) has increasingly been proposed to strengthen infection surveillance, early risk stratification, antimicrobial decision support, and selected workflow functions in acute-care hospitals. However, the literature remains cli…
europepmc
2026
置信度 0.80
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Objectives Many patients fail to access emergency services in time for acute stroke treatment. Artificial intelligence (AI) may help optimize prehospital triage. This study describes the development, refinement, and clinical validation of an AI-based virtual a…
europepmc
2026
置信度 0.80