Latest AI and machine learning research in medicolegal for healthcare professionals.
Artificial intelligence (AI) is entering clinical practice through decision-support systems, predict...
BACKGROUND: Stigmatizing language (SL) in electronic health records (EHRs) can influence clinical de...
BACKGROUND: Appropriate risk prediction is essential to inform long-term management in patients with...
Most existing concentration-based risk assessments of potentially toxic elements (PTEs) in farmland ...
The integration of artificial intelligence (AI) and machine learning (ML) into medical practice mark...
OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Informatio...
Clinical drug development suffers from high rates of toxicity-related failure despite the use of com...
BACKGROUND: Plastic, Reconstructive, and Aesthetic Surgery (PRAS) faces domain erosion from adjacent...
The Royal Australasian College of Physicians (RACP) has recently issued a position statement titled ...
Kidney stones (KS) are a common urological condition, the aetiology of which remains incompletely un...
OBJECTIVES: Evaluate whether general-purpose large language models (LLMs) demonstrate competencies s...
BACKGROUND: Natural language processing and large language model systems are increasingly used to su...
In-beam positron emission tomography (PET) provides a promising strategy for dose monitoring in carb...
Study DesignScoping review.ObjectivesTo map spine literature on large language models, characterize ...
OBJECTIVES: Artificial intelligence (AI) and machine learning applications are rapidly expanding acr...
Coronary artery calcification (CAC) represents a significant challenge in contemporary interventiona...
The recent integration of artificial intelligence (AI) into academia could usher in transformative e...
Nursing professional development practitioners manage complex systems supporting onboarding, compete...
Nuclear energy accommodates rising energy demand of artificial intelligence yet poses environmental ...
BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrate...
OBJECTIVE: Clinical AI systems and models increasingly need traceable documentation that makes inten...