Artificial Intelligence Medical Compendium

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

Showing 28,431 to 28,440 of 219,260 articles

Exploring Patient Perspectives on the Use of Artificial Intelligence to Inform Joint Decision-Making for Patients With Multiple Conditions in Primary Care in the United Kingdom: Qualitative Study.

Journal of medical Internet research
BACKGROUND: Multimorbidity, living with 2 or more long-term health conditions, is increasing globally and now affects over one-quarter of adults in England. People with multiple long-term conditions (MLTC) face complex health and treatment challenges... read more 

Use of an AI-Based Tool (Human Experiences and Reflections Data Connector) to Improve Discovery and Reuse of Archived Qualitative Data: Protocol for an Algorithm Development and Validation Study.

JMIR research protocols
BACKGROUND: Despite the growing emphasis on open science and equity in research, qualitative data capturing diverse human experiences and perspectives are rarely reused beyond the original study. Increasingly, data repositories are used to make these... read more 

Engaging Hospital Staff to Identify Levers for Adoption of Clinical Decision Support: Protocol for a Single-Site Case Study Using System Dynamics Group Model Building.

JMIR research protocols
BACKGROUND: Clinical decision support (CDS) tools that provide patient-specific and evidence-based information to clinicians and care managers regarding patient risk for adverse outcomes have been a part of health care for decades. However, modern CD... read more 

Autoencoder-Enhanced Convolutional Neural Networks for Plantar Pressure-Based Gait Pattern Recognition: Model Development and Cross-Validated Evaluation Study.

JMIR formative research
BACKGROUND: Plantar pressure imaging is a stable modality that reflects gait-related biomechanical characteristics and has been used increasingly for gait assessment and recognition. However, plantar pressure images are high dimensional and nonlinear... read more 

Clinical Model Autophagy: The Risk of Interpretative Drift in Recursive Medical AI.

JMIR medical informatics
The rapid integration of large language models into electronic medical record systems introduces a critical theoretical vulnerability. Drawing on foundational computer science proofs of "model collapse," this viewpoint introduces the concept of "Clin... read more 

Classifying American Society of Anesthesiologists Physical Status With a Low-Rank-Adapted Large Language Model: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: The American Society of Anesthesiologists Physical Status (ASA-PS) classification is integral to preoperative risk assessment; yet, assignment remains subjective and labor-intensive. Recent large language models (LLMs) process free-text e... read more 

Methods for Mapping and Analyzing Context-Specific Protein-Protein Interaction Networks.

Annual review of biomedical data science
Protein-protein interactions (PPIs) form highly dynamic and context-specific networks that vary across cell types and perturbation states. Mapping and understanding these context-dependent interactomes is essential for unraveling cellular organizatio... read more 

Predicting Keratoconus Progression From a Single Visit: Is Machine Learning Successful?

Eye & contact lens
PURPOSE: To develop and evaluate a machine learning (ML)-based model for predicting keratoconus (KCN) progression in an Iranian cohort. METHODS: This retrospective study included 1,000 eyes of 529 patients with KCN (mean age: 31.1±8.0 years; 63.3% ma... read more 

Isolated Nausea and Pretibial Rash in a Returning Traveler: Forme Fruste of Leptospirosis.

The American journal of tropical medicine and hygiene
Leptospirosis is difficult to diagnose because of protean nonspecific clinical manifestations and the lack of rapid, actionable laboratory testing. A previously healthy woman who presented with nausea is described in the present study. She had modest... read more