Practice Management

Medicolegal

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

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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...

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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...

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

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

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...

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