Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 226,846 articles

Task-agnostic explainable contrastive learning model for malignant cell detection in urine cytology.

Biomedical physics & engineering express Sep 21, 2026
Bladder cancer remains one of the most prevalent urological malignancies, where early detection is critical for improving patient outcomes. Urine cytology provides a non-invasive and cost-effective screening modality; however, the development of auto... read more 

Artificial Intelligence and Machine Learning in the Context of Hemophilia: A Scope Review.

Haemophilia : the official journal of the World Federation of Hemophilia Sep 21, 2026
INTRODUCTION: Advances in hemophilia treatment have improved life expectancy, yet challenges remain in disease management, predicting clinical complications, and optimizing healthcare resources. Artificial intelligence (AI) and machine learning (ML) ... read more 

Development and temporal validation of a machine learning-based prediction model for long-term depressive symptoms in older adults with cardiovascular disease or hypertension: A longitudinal cohort study.

Medicine Sep 18, 2026
Older adults with cardiovascular disease or hypertension have an elevated risk of depressive symptoms, which may adversely affect prognosis and quality of life. A practical prediction model could support early risk stratification and targeted screeni... read more 

Chest radiography: an underappreciated source of litigation exposure in emergency radiology.

Emergency radiology Sep 21, 2026
PURPOSE: Chest radiographs are the most frequently performed imaging examination yet remain vulnerable to interpretive errors, particularly in the high-volume emergency radiology setting. This analysis reviewed published cases in a legal database inv... read more 

Preoperative predictive factors for opaque bubble layer formation and area during small-incision lenticule extraction: predictive models based on machine learning.

Eye and vision (London, England) Sep 21, 2026
BACKGROUND: We aimed to develop exploratory machine learning (ML)-based predictive models for the occurrence and area of an opaque bubble layer (OBL) during small-incision lenticule extraction (SMILE) and identify associated preoperative and surgical... read more 

FuTCM-PDD: a multi-level information fusion framework integrating KAN modeling and AutoML for phenotype-based drug discovery from Traditional Chinese Medicine.

Chinese medicine Sep 21, 2026
Phenotype-based drug discovery has attracted increasing attention due to its critical role in first-in-class drug development and higher clinical translation rates. Chinese Materia Medica (CMM), with its emphasis on properties and efficacies, provide... read more 

Artificial Intelligence in Orthodontics: Part 1-Basic Concepts.

Orthodontics & craniofacial research Sep 20, 2026
Artificial intelligence (AI) is increasingly being integrated into orthodontic research and clinical practice. This review paper consists of three parts and aims to establish a foundational understanding of AI concepts for readers from non-technical ... read more 

Optimizing Care Management Targeting: A Machine Learning Comparison of Regression, Classification, and Ranking Approaches for Identifying Future High-Cost Patients.

Population health management Sep 20, 2026
Effective care management programs depend on accurately identifying patients who are likely to account for a disproportionate share of future health care expenditures. Unlike traditional risk-adjustment models, which emphasize population-level predic... read more 

Artificial Intelligence in Orthodontics: Part 1-Basic Concepts.

Orthodontics & craniofacial research Sep 20, 2026
Artificial intelligence (AI) is increasingly being integrated into orthodontic research and clinical practice. This review paper consists of three parts and aims to establish a foundational understanding of AI concepts for readers from non-technical ... read more 

Single-Cell Transcriptomic Profiling and Machine Learning Reveal Stage-Specific Gene Dynamics in Brucellosis.

Vector borne and zoonotic diseases (Larchmont, N.Y.) Sep 20, 2026
BACKGROUND: Accurate prediction of the progression of brucellosis is critical for optimizing therapeutic interventions, yet reliable biomarkers for this transition remain elusive. METHOD: Single-cell RNA sequencing (scRNA-seq) of peripheral blood mon... read more 
Popular Topics
Recent Journals