OBJECTIVE: Striking innovations and advancements have been achieved with the use of artificial intelligence and healthcare information technology being integrated into clinical real-world data. The current scoping review aimed to provide an overview ...
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) is a clinical syndrome that encompasses a heterogeneous population. Management of such ...
OBJECTIVE: To assess the knowledge, attitudes, and practices (KAP) of medical stakeholders regarding the use of generative artificial intelligence (GAI) tools.
AIM: The development of artificial intelligence (AI) for traditional Chinese medicine (TCM) has played an important role in clinical decision-making, mainly reflected in the intersectionality and variability of symptoms, syndromes, and patterns for T...
OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expert consensus for ambulatory surgery centers published since 2000, combining manual assessment with large language model (LLM) analysis, while explorin...
OBJECTIVE: Leukemia is a type of blood cancer that begins in the bone marrow and results in high numbers of abnormal white blood cells. Automated detection and classification of leukemia and its subtypes using artificial intelligence (AI) and machine...
Intelligent traditional Chinese medicine (TCM) is a key pathway toward the modernization and globalization of TCM in the era of artificial intelligence. Due to its unique terminology and diagnostic framework, TCM's intelligentization process has long...
BACKGROUND: Radial artery puncture is a common procedure and yet the role of local anesthesia for reducing the pain of this procedure continues to be debated. Clinical practice is variable and there is potential for substantial financial savings. Thi...