Artificial Intelligence Medical Compendium

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

Showing 16,311 to 16,320 of 213,568 articles

Generalizability of an AI-based mammogram risk score (MRS) for breast cancer among diverse populations of women.

Science advances
Conventional prediction models incorporating genetic and clinical factors including breast density underperform in non-European populations. We investigated an artificial intelligence-derived mammogram risk score (MRS), a summary of texture features ... read more 

A long-term image-derived AI-based risk model for primary prevention of breast cancer in individuals at high risk.

Science translational medicine
Image-derived artificial intelligence (AI) risk models have shown promise in short-term risk assessment for improving breast cancer (BC) screening. No image-derived long-term AI risk model for primary prevention has been developed and externally vali... read more 

Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development Study.

JMIR AI
BACKGROUND: Large language models (LLMs) have shown substantial promise in patient-trial matching, but most published studies still evaluate the performance under controlled technical conditions rather than within real recruitment workflows. Less is ... read more 

Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial.

JMIR AI
BACKGROUND: Previous studies have highlighted the benefits of using artificial intelligence-powered remote patient monitoring (AI RPM) in detecting health changes across various disease cohorts. However, the use of AI RPM for identifying health deter... read more 

Comparing Stakeholders' Perspectives on Parkinson Disease Management and Digital Technologies: Exploratory International Survey.

JMIR formative research
BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder that poses complex challenges for persons with PD, informal caregivers, and health care professionals. With growing interest in digital and predictive artificial intellige... read more 

Reliability-Aware Deep Learning Framework for Chemical Genotoxicity Prediction with Uncertainty Quantification.

Journal of chemical information and modeling
Genotoxicity assessment is crucial for drug development and chemical safety evaluation. However, traditional experimental approaches are time-consuming, resource-intensive, and raise ethical concerns related to animal testing. Although computational ... read more 

A Competency Framework for Medical AI Education: Mixed Methods Study.

JMIR medical education
BACKGROUND: Although artificial intelligence (AI) is increasingly adopted in health care, clinicians face barriers, including insufficient understanding, limited trust, and challenges in interpreting AI outputs. Existing frameworks, such as the Unite... read more 

Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

JMIR cardio
BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute myocardial infarction (CS-AMI). Acute kidney injury is one of the strongest independent predictors of in-hospital mortality in CS-AMI. Despite evidenc... read more 

Who Laughs, and Who Doesn't? Predicting Humor Skills From Personality, Social Anxiety, and Laughter Dispositions of Gelotophobia, Gelotophilia, and Katagelasticism.

Scandinavian journal of psychology
Laughter-related dispositions, including gelotophobia (fear of being laughed at), gelotophilia (enjoyment of being laughed with), and katagelasticism (enjoyment of laughing at others), may explain patterns of humor use beyond broad personality traits... read more