Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Despite advances in risk prediction, cardiovascular prevention remains suboptimal, reflecting limitations in model architecture, incomplete integration of contextual determinants, and inadequate translation of risk estimates into clinical practice. This review synthesizes epidemiological, methodological, and health systems evidence published between 2000 and 2025 regarding the performance, evoluti...
Study DesignScoping review.ObjectivesTo map spine literature on large language models, characterize reported use cases, and identify evidence gaps limiting implementation.MethodsA scoping review was conducted according to Joanna Briggs Institute methodology and PRISMA-ScR guidance. PubMed, Embase, Scopus, Web of Science, and Cochrane were searched for English-language, peer-reviewed studies publis...
BACKGROUND: Large language models (LLMs) are rapidly emerging in health care, offering opportunities in decision support, education, and research, but...
Generative AI is driving medical education from digital support toward intelligent, interactive learning environments. The cultivation of doctor-patie...
This scoping review consolidates existing technology-enabled interventions for preventing and responding to abuse of older people (AOP). Studies repor...
Ureteral injury is a serious complication of colorectal surgery. Current intraoperative localization methods, including indocyanine green (ICG) fluore...
BACKGROUND: Oral non-communicable diseases impose a substantial and unequally distributed global burden. Digital technologies have the potential to su...
BACKGROUND: Digital health communication is gaining importance as health care systems face increasing demand and structural constraints. Generative ar...
BACKGROUND: Language barriers continue to limit participation in international medical communication, and recent advances in artificial intelligence n...
BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmented care and therapeutic inertia. While digital heal...
Although preventable oral diseases are still very common among school-aged children worldwide, dental caries remains a significant public health conce...
BACKGROUND: Chronic kidney disease (CKD) is projected to become one of the leading causes of premature mortality worldwide by 2050. Simultaneously, ad...
Prostate magnetic resonance imaging (MRI) reporting is a high-impact communication task because small differences in lesion laterality, sector localiz...
Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication e...
BACKGROUND: Large language models (LLMs) have emerged as powerful transformer-based systems capable of capturing long-range dependencies and complex s...
Underwater acoustic (UWA) communication systems operate in severe channel impairments, including strong multipath propagation, long delay spreads, fre...
BACKGROUND: Tobacco use is a major preventable cause of cancer, and social media offers scalable opportunities for prevention. AI-generated virtual in...
Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine developme...
BACKGROUND: Generative AI (GenAI) is increasingly integrated into clinical learning and practice. However, medical students often lack the competencie...
BACKGROUND: The integration of AI into China's expanding cosmetic medicine market represents a key technological shift, yet physician perspectives rem...