Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: AI-enabled voice electronic medical records (EMRs) are increasingly promoted as tools to...
INTRODUCTION: This study aimed to develop and evaluate a ChatGPT-based application designed to assis...
BACKGROUND: AI systems are increasingly deployed across National Health Service (NHS) services, yet ...
BACKGROUND: AI-enabled medical software is increasingly used across clinical care. The European Data...
OBJECTIVES: Reliable measurement of advance care planning (ACP) is essential for evaluating both com...
Continuous monitoring of spinal kinematics is crucial for posture correction and rehabilitation, yet...
Pulmonary drug delivery systems have gained increasing attention as an effective strategy for the tr...
Abandoned mine tailings are a persistent source of airborne particulate matter (PM), containing pote...
Long non-coding RNAs (lncRNAs) have emerged as critical regulators of the cancer epitranscriptome, o...
BACKGROUND: Physician documentation requirements are a known contributor to clinician burnout, with ...
BACKGROUND: Generative artificial intelligence (AI) and large language models (LLM) are evolving fro...
Artificial intelligence (AI) has emerged as a major area of interest in pathology, driven by improve...
BACKGROUND: Selective Internal Radiation Therapy (SIRT) delivers 90 Y microspheres through the hepat...
Penicillin allergy is recorded in roughly one in ten hospital patients, yet fewer than one in ten of...
BACKGROUND: The currency of nursing care (how care is counted, measured, and valued within systems o...
BACKGROUND: Orthopedic surgery is the second most common subspecialty involved in medical malpractic...
BACKGROUND: Generative artificial intelligence (AI), including large language models (LLMs), has bee...
Artificial intelligence (AI) is increasingly present in dental education and clinical practice throu...
PURPOSE: This review provides a global overview of the clinical benefits and operational limitations...
OBJECTIVES: Conventional magnetic resonance imaging faces limitations in differentiating among pedia...
BACKGROUND: AI systems have achieved strong performance on discrete diagnostic, predictive, and deci...