Artificial Intelligence Medical Compendium

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

Showing 70,321 to 70,330 of 234,131 articles

Machine Learning-Based Analysis of UF-5000 Scattergrams Improves the Identification of Urinary Dysmorphic Red Blood Cells.

Annals of laboratory medicine
BACKGROUND: Identifying dysmorphic red blood cells (RBCs) is critical for diagnosing glomerular diseases, as distinguishing glomerular from non-glomerular hematuria may reduce reliance on invasive diagnostics such as kidney biopsy. We aimed to enhanc... read more 

Development and validation of self-management education module of ChestCare app: Empowering healthy behaviours in chronic obstructive pulmonary disease.

Clinical rehabilitation
ObjectiveIn this mixed-methods study, we aimed to develop a self-management education module within the ChestCare mHealth app, thus enabling patients with chronic obstructive pulmonary disease to self-manage their condition and empower healthy behavi... read more 

Application of multi-scale feature extraction and explainable machine learning in chest x-ray position evaluation within an integrated learning framework.

European radiology
OBJECTIVES: This study presents a novel deep learning-machine learning fusion network for quantitative and interpretable assessment of chest X-ray positioning, aiming to analyze critical factors in patient positioning layout. MATERIALS AND METHODS: I... read more 

Evaluation of Approved AI-based Brain Aneurysm Detection Software in Clinical Practice: Comparison with Radiologist Assessment and Image Re-review.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
PURPOSE: This study evaluated the performance of artificial intelligence (AI)-based brain aneurysm detection software in clinical settings, aiming to assess its utility as a supportive tool for radiologists. Metrics included sensitivity, positive pre... read more 

Accelerated Chemical Exchange Saturation Transfer Imaging With Deep Unrolling Networks and Synthetic Brain Tumor Datasets.

Magnetic resonance in medicine
PURPOSE: To develop a model-based deep unrolling network for high-quality image reconstruction of accelerated multi-channel chemical exchange saturation transfer (CEST) imaging. THEORY AND METHODS: Inspired by the theory of model-based deep learning ... read more 

Evaluation of a New Inclusive Next-Generation Synthetic Face Tool for Dysmorphology.

American journal of medical genetics. Part A
Background Facial analysis tools can assist in diagnosing rare genetic syndromes, but their accuracy is limited in ultra-rare conditions and underrepresented ethnicities due to small, biased datasets. Synthetic facial images could enrich training dat... read more 

Medical students' and faculty members' perceptions and experiences of AI integration in health care practice and in medical curricula: A meta-ethnographic review.

Medical education
With the increasing adoption of artificial intelligence (AI), health care systems and medical education are undergoing significant changes. This review examines how medical students and faculty members perceive the opportunities and challenges of AI ... read more 

Graph-Contrastive Convolutional Neural Network for Extracting and Classifying Peptide-Based Periodontal Immunomodulatory and Anti-Inflammatory Signatures.

International dental journal
INTRODUCTION: Periodontitis is a chronic inflammatory disease that occurs when the body's immune system fails to respond properly to microbial biofilms. Peptides exhibiting anti-inflammatory and immunomodulatory properties are promising as biomarkers... read more 

Ambient AI reduces documentation time and enhances quality in a simulated inpatient setting.

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
BACKGROUND: Clinical documentation is essential for safe and effective patient care but places a considerable clerical burden on clinicians. Ambient artificial intelligence (AI) systems, which capture clinical conversations and generate structured no... read more