Practice Management

Medicolegal

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

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A Scalable Method for Validated Data Extraction from Electronic Health Records with Large Language Models

Extracting and structuring relevant clinical information from electronic health records (EHRs) remai...

A Framework to Assess Clinical Safety and Hallucination Rates of LLMs for Medical Text Summarisation

Integrating large language models (LLMs) into healthcare settings can improve workflow efficiency an...

Benchmarking pathology foundation models for non-neoplastic pathology in the placenta

Machine learning (ML) applications within diagnostic histopathology have been extremely successful. ...

Evaluating Genetic-Based Disease Prediction Approaches Through Simulation

Common diseases exhibit substantial heritability, and GWAS of these diseases have revealed hundreds ...

Real-World Evaluation of Large Language Models in Healthcare (RWE-LLM): A New Realm of AI Safety & Validation

The deployment of artificial intelligence (AI) in healthcare necessitates robust safety validation f...

Socio-Demographic Modifiers Shape Large Language Models’ Ethical Decisions

Large language models’ (LLMs) alignment with ethical standards is unclear. We tested whether LLMs sh...

Evaluating Enhanced LLMs for Precise Mental Health Diagnosis from Clinical Notes

Anxiety, depression, and other mental health conditions are affecting millions of people worldwide e...

Modeling the Spread of Misfolded Proteins in Alzheimer’s Disease using Higher-Order Simplicial Complex Contagion

Neurodegenerative diseases are characterized by complex proteins misfolded that propagate within the...

A Bilingual On-premise AI agent for Clinical Drafting: Seamless EHR integration in the Y-KNOT Project

Large Language Models (LLMs) have shown promise in reducing clinical documentation burden, yet their...

The gSOS Polygenic Score is Associated with Bone Density and Fracture Risk in Childhood

The polygenic risk score genetic quantitative ultrasound speed of sound (gSOS) was developed using m...

Optimized BERT-based NLP outperforms Zero-Shot Methods for Automated Symptom Detection in Clinical Practice

Large Language Nodels (LLMs) have raised broad expectations for clinical use, particularly in the pr...

Extracting TNFi Switching Reasons and Trajectories From Real-World Data Using Large Language Models

Tumor necrosis factor inhibitors (TNFi) are widely used for auto-immune conditions. Despite their ef...

Resident physician perspectives on ambient AI scribing in academic family medicine

While ambient artificial intelligence (AI) scribes have been received positively by primary care phy...

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditio...

Changes in psychiatric documentation and treatment in primary care with artificial intelligence scribe use

Despite increasingly widespread use of artificial intelligence-driven ambient scribes in medicine, t...

Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions

Artificial intelligence (AI) has the potential to revolutionize clinical decision-making and signifi...

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