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Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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Evaluating Large Language Models for Translating Multimodal Phenotype Documentations into Executable EHR Phenotyping Algorithms

Research applications of electronic health record (EHR) phenotypes require translating clinical defi...

A CBF-SA module links wound-induced evaporative cooling to tissue repair in plants

Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury r...

Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-β Spread in Alzheimer's Disease

Understanding the pathogenesis of amyloid-{beta} pathology in Alzheimer's Disease (AD) proves to be ...

Heterogeneous Treatment Effect for Targeted Temperature Management After Cardiac Arrest: A Causal Machine Learning Analysis

ABSTRACT Objectives: To determine whether heterogeneous treatment effects (HTE) explain the inconclu...

Shortkit-ML: A Unified Multi-Perspective Framework for Detecting Shortcut Learning in Medical Imaging Embeddings

Shortcut learning poses a significant challenge in clinical artificial intelligence, as models may r...

Artificial Intelligence Agents in Mental Health: A Systematic Review and Meta Analysis

The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...

Metastasis Extraction from NSCLC Clinical Notes: A Retrospective Comparative Evaluation of Large Language Model-Based Classification

Background: Identification of metastasis status in non-small cell lung cancer (NSCLC) is a critical ...

Domain-Adapted Small Language Models for Reliable Clinical Triage

Accurate and consistent Emergency Severity Index (ESI) assignment remains a persistent challenge in ...

Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors

Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets...

VIDS: A Verified Imaging Dataset Standard for Medical AI

Medical imaging AI development is fundamentally dependent on annotated datasets, yet no existing sta...

Evaluating Large Language Models for Transparent Quality-of-Care Measurement in Children with ADHD

ImportanceGuideline-concordant care for young children with attention-deficit/hyperactivity disorder...

Coding-Free and Privacy-Preserving MCP Framework for Clinical Agentic Research Intelligence System

Clinical research involves labor-intensive processes such as study design, cohort construction, mode...

Final Report, Center for Computer-Integrated Computer-Integrated Surgical Systems and Technology, NSF ERC Cooperative Agreement EEC9731748, Volume 1

In the last ten years, medical robotics has moved from the margins to the mainstream. Since the Engi...

DR. INFO at the Point of Care: A Prospective Pilot Study of an Agentic AI Clinical Assistant

Background: Clinical documentation and information retrieval consume over half of physicians working...

Implementation of Human-in-the-Loop ChatGPT-based Patient Screening Across Multiple Diverse Clinical Trials

Purpose: Manual screening for trial eligibility is inefficient and costly. We prospectively evaluate...

Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

Clinical documentation is a critical factor for patient safety, diagnosis, and continuity of care. T...

Clinician Experiences with Ambient AI Scribe Technology in Singapore: A Qualitative Study

Background: The administrative burden of clinical documentation is a recognised contributor to clini...

Multimodal Molecular Mapping of the Vasculature in Human Cortex Reveals Lipid Markers of Cerebral Amyloid Angiopathy

Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecula...

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