Latest AI and machine learning research in medicolegal for healthcare professionals.
Biology has accumulated a vast ecosystem of omics methods, but much of this ecosystem remains built ...
AI-assisted clinical documentation tools increasingly summarize, standardize, and reformat radiology...
Agent skills are emerging as an important attack surface in LLM-based systems. Through an empirical ...
Predictive modeling for clinical tabular data is central to clinical decision support and therefore ...
Predictive modeling for clinical tabular data is central to clinical decision support and therefore ...
ONTOSIGHT(R) ADMETron is an AI-driven platform designed for rapid prediction and visualization of Ab...
We develop a statistical learning theory for gradient boosting applied to the estimation of covariat...
Genome-scale metabolic models (GSMs) underpin pathway and strain engineering by linking genes to met...
In high-stakes settings such as brand compliance, clinical care, and content moderation, machine lea...
Although large language models (LLMs) have shown promise for discharge summary generation, their val...
Clinical chart abstraction extracts structured patient variables from longitudinal clinical notes bu...
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...
A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaint...
Background Informed consent depends on patients' understanding of anaesthesia risk, yet comprehensio...
Human-associated microbial genomes encode extensive strain-level diversity and niche-specific gene r...
Background: With growing impetus to integrate artificial intelligence (AI) tools into radiology, cli...
Research applications of electronic health record (EHR) phenotypes require translating clinical defi...
Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury r...
Understanding the pathogenesis of amyloid-{beta} pathology in Alzheimer's Disease (AD) proves to be ...
ABSTRACT Objectives: To determine whether heterogeneous treatment effects (HTE) explain the inconclu...
The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...