Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: AI adoption in health care has accelerated rapidly, with ambient documentation tools, diagnostic imaging AI, and clinical decision support systems (CDSSs) entering routine practice. However, the cognitive demands placed on clinicians supervising these systems remain understudied. Specifically, the concept of verification burden requires closer examination. Consequently, institutional d...
OBJECTIVE: Despite elevated risk for epilepsy following traumatic brain injury (TBI), there are limited tools to assess epilepsy risk following TBI using routine clinical data. The objective of this study was to develop and validate a machine learning approach to predict the onset of posttraumatic epilepsy (PTE) over varying time horizons following TBI, using only routine clinical data collected u...
Purpose Clinical documentation is a critical competency in dental hygiene (DH) education, yet its administrative burden often detracts from patient ca...
With the growing volume of measured X-ray Absorption Spectroscopy (XAS) data and their need for machine-learning and reference purposes across differe...
BACKGROUND: The integration of ambient artificial intelligence (AI) scribes into the OpenNotes environment presents a profound governance crisis in he...
BACKGROUND: Online adaptive radiotherapy (OART) improves the precision of carbon ion therapy by enabling dynamic treatment plan adjustment. However, i...
The solid electrolyte interphase (SEI) critically dictates the cyclability and Coulombic efficiency of sodium-metal batteries, yet its dynamic formati...
Incorporating graphene quantum dots (GQDs) in 3D printing offers a promising route toward sustainable energy devices. Owing to the interesting optoele...
BACKGROUND: Specialized outpatient palliative care (SOPC) provides home-based care for terminally ill patients and is associated with improved quality...
Cyanidin-3-O-galactoside(C3G) has a variety of biological activities. Pulmonary fibrosis (PF) is a fatal interstitial lung disease. To define its path...
Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)-are increasingly understood ...
Artificial intelligence (AI) is increasingly evolving from a research technology into a tool for everyday clinical practice. While early applications ...
BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecur...
Purpose To characterize Predetermined Change Control Plan (PCCP) adoption and documentation transparency among U.S. Food and Drug Administration (FDA)...
AIM: To develop and evaluate a dental virtual standardized patient (D-VSP) integrating natural-language intent recognition, a high-fidelity haptic sim...
BACKGROUND: The rapid emergence of artificial intelligence (AI) has outpaced its formal adoption in health care organizations, contributing to the eme...
STATEMENT OF PROBLEM: Incomplete clinical records can be a significant hurdle in implant dentistry, transforming routine maintenance or a restorative ...
OBJECTIVE: Psychiatry graduate medical education (GME) faces converging pressures of increasing clinical demand, rising administrative burden, and wor...
BACKGROUND: The integration of machine learning (ML) into clinical laboratory medicine offers new opportunities for quality improvement. Models are no...
Structural biology has entered a period of rapid methodological change defined by the convergence of cryo-electron microscopy (cryo-EM) and artificial...