Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

10,928 articles
Stay Ahead - Weekly Practice Management research updates
Subscribe
Browse Categories
Showing 820-840 of 10,928 articles
Automatic ICD coding using LLMs: a systematic review

Manual assignment of International Classification of Diseases (ICD) codes is error-prone. Transforme...

clickBrick Prompt Engineering: Optimizing Large Language Model Performance in Clinical Psychiatry

Prompt engineering has the potential to enhance large language models’ (LLM) ability to solve tasks ...

Automated ICD-O-3 Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models

While large language models (LLMs) have shown promise in medical text processing, their real-world a...

Data Quality in Clinical Coding: A Critical Analysis and Preliminary Study

Clinical coding is a vital yet complex component of healthcare practice. While automated coding syst...

Developing an AI-Enhanced Individualized Prediction Tool for Psychopathological Symptoms in Vietnam: A Study Protocol

Artificial intelligence (AI) is increasingly leveraged in mental healthcare for early detection, mon...

Large Language Models for Zero-Shot Procedure Extraction in Orthopedic Surgery: A Comparative Evaluation

Operative notes in electronic health records contain critical information for understanding surgical...

Human-AI Collaboration in Clinical Reasoning: A UK Replication and Interaction Analysis

A paper from Goh et al found that a large language model (LLM) working alone outperformed American c...

Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data

Understanding the biological processes that precede death is critical for making informed clinical d...

Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes

Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...

Refining the genetic landscape of anophthalmia and microphthalmia: a comprehensive framework with deep learning and updated gene panels

Anophthalmia and microphthalmia (A/M) are rare congenital eye disorders with a low molecular diagnos...

Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank

Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain on...

Privacy-preserving local language models accurately identify the presence and timing of self-harm in electronic mental health records

Self-harm, defined as intentional self-injury or self-poisoning irrespective of motivation, is the s...

Clinical Agents Don’t Care

Large language models (LLMs) now power clinical agents that can plan, call tools, and write into ele...

Predicting Carbapenem Resistance in Hospitalized Patients Using Machine Learning: A Retrospective Analysis of the MIMIC-III Database

Carbapenem-resistant Gram-negative bacteria (CR-GNB) represent a major health challenge due to limit...

MAX-EVAL-11: A Comprehensive Benchmark for Evaluating Large Language Models on Full-Spectrum ICD-11 Medical Coding

MAX-EVAL-11 is constructed by converting MIMIC-III discharge summaries from ICD-9 to ICD-11 codes th...

Assessment of fatal cardiovascular disease risk using data-driven diabetes subgroups and SCORE2-Diabetes in 24,943 adults in Mexico City

Cardiovascular disease (CVD) is a leading cause of diabetes-related mortality in Mexico. Although di...

Browse Categories