Practice Management

Medicolegal

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

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Towards Richer AI-Assisted Psychotherapy Note-Making and Performance Benchmarking

Psychotherapy note-making is crucial for effective patient care. However, traditional formats such a...

Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and Implementation

Large language models (LLMs) offer promise for enhancing clinical care by automating documentation, ...

From Keywords to Context: Bridging Expert Insight and Language Models for Multidimensional Sleep Health Classification in Clinical Notes

Accurate detection of multidimensional sleep health (MSH) information from electronic health records...

Radiologist-AI workflow can be modified to reduce the risk of medical malpractice claims

Artificial Intelligence (AI) is rapidly changing the legal landscape of radiology. Results from a pr...

RAGnosis: Retrieval-Augmented Generation for Enhanced Medical Decision Making

We present RAGnosis, a fully offline, retrieval-augmented framework for interpreting unstructured cl...

Urinary collagen peptides predict mortality

Organ fibrosis caused by the presence of excessive extracellular matrix (ECM) is strongly related to...

An LLM-Based Comparison of Ambient AI Scribes for Clinical Documentation

Ambient AI scribes have become an increasingly promising option for automating clinical documentatio...

Completeness and Quality of Neurology Referral Letters Generated by a Large Language Model for Standardized Scenarios

Large Language Models (LLMs) offer promising applications in healthcare, including drafting referral...

Design and Implementation of an End-to-End AI-Driven Colonoscopy Recall Workflow at Scale

We present a real-world deployment of a large language model-powered colonoscopy recall pipeline tha...

Priorities for AI Education: Clinicians’ Perspectives

Educating clinicians about Artificial Intelligence (AI) is an urgent need(1) as the UK General Medic...

A Randomized-Clinical Trial of Two Ambient Artificial Intelligence Scribes: Measuring Documentation Efficiency and Physician Burnout

Ambient artificial intelligence (AI) scribes record patient encounters and generate visit notes almo...

Prematurity and Genetic Liability for Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by diverse presentati...

Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care

Recent studies have found that stigmatizing terms can incline physicians to pursue punitive approach...

A Novel Playbook for Pragmatic Trial Operations to Monitor and Evaluate Ambient Artificial Intelligence in Clinical Practice

Ambient artificial intelligence (AI) offers the potential to reduce documentation burden and improve...

Evaluating Large Language Models for Automatic Detection of In-Hospital Cardiac Arrest: Multi-Site Analysis of Clinical Notes

In-hospital cardiac arrest (IHCA) affects over 200,000 patients annually in the United States, yet i...

Large Language Models Improve Cancer Survival Prediction Using Real-World Clinical Notes

In medical documentation, vast amounts of unstructured text are generated that are still underutiliz...

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