Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: Artificial intelligence (AI)-enabled "ambient" documentation may reduce clinician administrative burdens and improve care delivery, but implementation in clinical practice is complex. AIM: To evaluate the implementation of commercially available ambient documentation tools in multi-specialty ambulatory clinical workflows at an academic medical center. SETTING: A large urban academic he...
BACKGROUND: Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)-based speech recognition (ASR) tools promise to reduce this burden by generating draft notes from dictated or conversational clinical encounters. Despite rapid adoption,...
BACKGROUND: Generative artificial intelligence (AI) is reshaping the way clinicians record their clinical notes. AI-scribe systems leverage generative...
BACKGROUND: Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling...
INTRODUCTION/OBJECTIVE: Sanghuang, a traditional Chinese medicinal fungus, exhibits well-documented anti-inflammatory, antioxidant, and antitumor acti...
Trace detection of nanoplastics (NPs) is limited by random analyte deposition and poor contact with hotspots. A major hurdle for on-site monitoring is...
BACKGROUND: Nurses are concerned that artificial intelligence (AI) could undermine the holistic, intuitive, and experience-based clinical judgment tha...
BACKGROUND: Cardiac fibrosis is a pathophysiologic condition in heart diseases. It refers to an excess deposition of extracellular matrix, which will ...
Dysregulated lipid metabolism drives atherosclerosis (AS). Yacon, an Andean lipid-modulating tuber, exerts anti-AS potential, but mechanisms remain un...
A computational modeling strategy was established to predict the tensile strength of polylactic acid (PLA) reinforced with wood particles fabricated u...
Radiology reports are the primary product of diagnostic radiology, yet the language in which they are written is rarely taught formally. The differenc...
OBJECTIVE: This study investigates the feasibility of using large language models (LLMs) to automate procedural case log documentation in radiology tr...
BackgroundArtificial intelligence (AI) is increasingly integrated into hospice and palliative care to support clinical decision-making across clinicia...
BACKGROUND: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. F...
Asphaltene precipitation and deposition pose significant challenges in the oil industry, leading to well blockage, formation damage, impairment of pro...
BACKGROUND: International mobility has intensified routine contact between health systems and patients who do not speak the dominant language of care....
BACKGROUND: Increasing concern regarding long-term consequences of mild traumatic brain injury (mTBI; concussion) highlights the need for an accurate ...
BACKGROUND: Artificial intelligence (AI) is increasingly used in radiological diagnostics, particularly for screening, detection, and prioritization o...
AIM: This scoping review aimed to identify and map clinical decision support tools (both digital and non-digital) used by clinicians for wound managem...