Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 55,761 to 55,770 of 226,731 articles

THE ROLE OF EN FACE IMAGING OF RETINAL PIGMENT EPITHELIUM ALTERATIONS IN RAPID CLASSIFICATION OF CENTRAL SEROUS CHORIORETINOPATHY USING WIDEFIELD SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY.

Retina (Philadelphia, Pa.)
PURPOSE: To investigate the role of widefield en face imaging of retinal pigment epithelium (RPE) alterations using swept-source optical coherence tomography for rapid classification of central serous chorioretinopathy (CSCR). METHODS: In this cross-... read more 

Enterprise-wide simultaneous deployment of ambient scribe technology: lessons learned from an academic health system.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To report on the feasibility of a simultaneous, enterprise-wide deployment of EHR-integrated ambient scribe technology across a large academic health system. MATERIALS AND METHODS: On January 15, 2025, ambient scribing was made available ... read more 

Learning Roles With Emergent Social Value Orientations.

IEEE transactions on pattern analysis and machine intelligence
Social dilemmas can be considered situations where individual rationality leads to collective irrationality. The multi-agent reinforcement learning community has leveraged ideas from social science, such as social value orientations (SVO), to solve s... read more 

Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Clinical registries advance healthcare by tracking patient outcomes and intervention safety. Manually extracting information from clinical text for registries is labor- and resource-intensive and often inaccurate. Therefore, this systemati... read more 

Derivation and validation of an algorithm for maternal-child linkage in electronic health records.

Journal of the American Medical Informatics Association : JAMIA
INTRODUCTION: We created a probabilistic maternal-child electronic health record (EHR) linkage algorithm to promote clinical research in maternal-child health. METHODS: We used EHR data from 1994 to 2024 to create an XGBoost model to predict maternal... read more 

Predicting Treatment Outcomes in Patients With Psoriatic Arthritis or Axial Spondyloarthritis: An Artificial Intelligence-Driven Approach.

The Journal of rheumatology
OBJECTIVE: To develop machine learning (ML) models to predict the probability at baseline of achieving low disease activity (LDA) and high health-related quality of life (HRQOL) in patients with psoriatic arthritis (PsA) or axial spondyloarthritis (a... read more 

Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (GenAI) offer real-time, scribe-like support that reduce documentation burden and may help alleviate burnout. This study assesses physician-perceived b... read more 

Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnostic errors, and improving workflows and efficiency. However, successful integration of AI-based decisi... read more 

Intracortical Brain-Machine Interfaces With High-Performance Neural Decoding Through Efficient Transfer Meta-Learning.

IEEE transactions on bio-medical engineering
Implantable brain-machine interfaces (iBMIs) have emerged as a groundbreaking neural technology for restoring motor function and enabling direct neural communication pathways. Despite their therapeutic potential in neurological rehabilitation, the cr... read more