Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Suicide deaths in the United States have increased for a generation with no current evidence of meaningful decline. With advances in data collection and accumulation, suicide prevention research has started utilizing artificial intelligence (AI) tools, predominantly machine learning, predictive analytics, and language models, to help mainly in prediction of suicide by utilizing large electronic he...
OBJECTIVE: This discussion paper conceptualizes cognitive fog as a communication and reasoning problem that can emerge when clinicians, patients, or organizations over-rely on artificial intelligence (AI) tools in health care. DISCUSSION: Drawing on a selective, theory-oriented narrative synthesis of literature on AI-enabled clinical decision support, large language models, automation bias, cognit...
Extreme heat, driven by climate change, poses significant health risks, particularly for vulnerable populations such as older adults, infants, and ind...
In recent years, complex and extreme fire environments have posed a severe threat to the safety of front-line firefighters, urgently requiring high-pe...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
BACKGROUND: This study aimed to explore the impact of introducing robotic technologies on employees' mental and physical health across three Czech and...
INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior but has received less attention than active SI. A...
Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- and middle-income countries (LMICs), with major heal...
BACKGROUND: Recent advances in large language models (LLMs) such as GPT-3/4 have spurred the development of artificial intelligence (AI) chatbots and ...
BACKGROUND: Placenta Accreta Spectrum is a leading cause of maternal morbidity and mortality and is increasing in incidence, yet only 30-50% of cases ...
Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...
Artificial intelligence (AI) is rapidly being adopted in education in the health care professions, including in palliative care. Yet existing AI prime...
The growing integration of digital technologies into healthcare requires understanding the impact of different consultation modalities on patient stre...
Although the complications of complex total hip arthroplasty (THA) are decreasing with the progress of surgical technology, it is still a difficult cl...
Snakebite is a serious public health issue that causes a significant amount of morbidity and mortality. This has led the World Health Organization (WH...
Integration of artificial intelligence chatbots into healthcare requires rigorous, patient-centered evaluation. This study implements the CREATE TRUST...
Generative artificial intelligence (GenAI) chatbots are increasingly used for second language (L2) speaking practice, yet learners' willingness to com...
BACKGROUND: Large language models (LLMs) are increasingly integrated into clinical artificial intelligence (AI) workflows, with emerging applications ...
BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation i...
OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but a...