Latest AI and machine learning research in risk management for healthcare professionals.
PURPOSE: The increasing integration of Artificial Intelligence (AI) into clinical workflows for medical imaging and radiotherapy presents new opportunities and challenges for the radiation protection of patients, staff, and the public. This perspective from the International Commission on Radiological Protection (ICRP) Committee 3 Working Party on AI examines how current and emerging AI applicatio...
We examined clinical, genetic, and molecular links between sleep disorders and endometriosis. Women aged 20-54 years in NHANES 2005-2006 were analyzed with survey-weighted logistic regression. Bidirectional two-sample Mendelian randomization (MR) was used to assess genetic directionality. Endometriosis-related genes were obtained from the Endometriosis eQTL analysis, whereas sleep disorder-related...
Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...
PURPOSE: Ultra-widefield (UWF) fundus cameras capture a larger retinal area without pupil dilation. We summarized evidence and diagnostic performance ...
Reliable prediction of hydrogen adsorption free energy (ΔGH) is essential for accelerating electrocatalyst discovery for the alkaline hydrogen evoluti...
BACKGROUND: AI is rapidly transforming health systems, expanding from diagnostic imaging and predictive analytics to large language model-enabled clin...
BACKGROUND/OBJECTIVES: The second mesiobuccal (MB2) canal detection in maxillary molars represents a notable challenge in endodontics. This scoping re...
BACKGROUND: Rapid evidence synthesis during emerging infectious and re-emerging disease outbreaks is critical, yet traditional systematic reviews rare...
INTRODUCTION: Participation in cancer clinical trials is low in community oncology settings, partly because institution-specific trial information is ...
BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...
Artificial intelligence (AI) is rapidly becoming a core methodological pillar of molecular biology and precision medicine, and Africa is a uniquely co...
BACKGROUND: Outcome prediction models for patients with ischemic stroke after endovascular thrombectomy (EVT) demonstrated the value of including post...
INTRODUCTION: Clinical trials have demonstrated the benefits of early detection of lung cancer (LC); however, the implementation of national LC screen...
BACKGROUND: Effective communication is crucial for high-quality health care, but systemic barriers still disrupt patient-provider interactions. Resear...
Artificial intelligence (AI) has emerged as a potential enabling technology for lower-dose paediatric PET/CT, but its value depends on whether dose re...
BackgroundSelecting optimal brain magnetic resonance imaging (MRI) protocols is a manual, error-prone process, often complicated by incomplete clinica...
BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due to barriers to systematic screening and the relian...
BACKGROUND: Large language models (LLMs) have demonstrated expert-level performance on medical licensing examinations, but most benchmarks focus on fi...
INTRODUCTION: Patients now arrive at the orthodontic consultation having already consulted a chatbot, yet the accuracy, quality and readability of the...
BACKGROUND: Studies linking self-reported symptoms to circulating protein biomarkers are increasing, partly driven by the rising number of protein bio...