Artificial Intelligence Medical Compendium

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

Showing 16,511 to 16,520 of 213,568 articles

Opportunistic CT Attenuation Biomarkers of Anemia Are Associated With Impaired Myocardial Flow Reserve and Cardiovascular Outcomes

medRxiv May 19, 2026
Background: Anemia is an established marker of cardiovascular disease severity and risk which leads to elevations in resting myocardial blood flow (MBF) and impaired myocardial flow reserve (MFR) in patients without obstructive coronary artery diseas... read more 
radiology and imaging

Predicting Distant Melanoma Metastasis at Diagnosis Using Machine Learning

medRxiv May 19, 2026
Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for patient prognosis and treatment selection. However, few tools can reliably predict the risk of distant metastasis at initial presentation. Here, we devel... read more 
dermatology

Real-World Validation of Machine Learning Models for HIV Treatment Adherence Prediction and Care Gap Quantification: A Multi-Country Analysis of 192,732 Clinical Records

medRxiv May 19, 2026
Delayed diagnosis and poor antiretroviral therapy (ART) adherence remain primary drivers of HIV-related morbidity in low-resource settings, yet real-world AI validation at scale is lacking. We conducted a retrospective validation study using two publ... read more 
hiv aids

Predicting Intensive Care Readmission Among Hospitalized Children

medRxiv May 19, 2026
Objective: Readmissions to the PICU are associated with increased morbidity and mortality. A prediction model that can identify children at risk of readmission at the time of transfer can allow providers to intervene and potentially improve patient o... read more 
pediatrics

Satellite imagery encodes features predictive of regional mortality and life expectancy

medRxiv May 19, 2026
Background Increasingly accessible satellite imagery provides scalable measures of the built and natural environment relevant to population health. However, whether such imagery can capture subnational variation in mortality and life expectancy remai... read more 
public and global health

Microcomputed tomography analysis of marginal adaptation and internal fit of zirconia frameworks with direct-to-abutment connections using a deep learning artificial intelligence model.

The Journal of prosthetic dentistry May 19, 2026
STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-supported fixed complete dental prostheses (ISFCDPs), limited evidence exists regarding marginal adaptation and internal fit, 2 parameters critical for biom... read more 

Synonymous mutations in viral evolution and vaccine design.

Trends in microbiology May 19, 2026
Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation. In this review, we propose that viral codon usage reflects a multi-objective optimization process ... read more 

Malignancy Prediction of Breast Lesion with Calcifications via Radiomics Analysis Based on Intratumoral and Peritumoral Regions of Ultrasound Images.

Academic radiology May 19, 2026
RATIONALE AND OBJECTIVES: To evaluate whether intratumoral habitats and peritumoral regions on ultrasound (US) images enhance radiomics-based diagnosis of calcified breast lesions. MATERIALS AND METHODS: Mammography-confirmed calcified breast lesions... read more 

Dynamic breast MRI with Flexible Temporal Resolution Aided by Deep Learning.

Nature communications May 19, 2026
MRI is the most effective method for screening high-risk breast cancer patients. While current exams rely on the qualitative evaluation of morphological features before and after contrast administration and less on contrast kinetic information, recen... read more 

A real-time early warning system to anticipate respiratory disease outbreaks using transfer learning.

Nature communications May 19, 2026
Respiratory disease outbreaks burden American healthcare systems with over one million hospitalizations annually, yet current surveillance systems lag 1-2 weeks behind real-time conditions, preventing timely intervention. We present a machine learnin... read more 
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