Artificial Intelligence Medical Compendium

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

Showing 34,501 to 34,510 of 221,633 articles

Real-world benchmarking and validation of foundation model transformers for endometrial cancer subtyping from histopathology.

NPJ precision oncology Apr 4, 2026
We benchmarked histopathology foundation encoders paired with attention-based multiple instance learning (MIL) against convolutional neural networks (CNNs) to assess their robustness for endometrial cancer molecular classification (MMR-deficient, p53... read more 

Focused ultrasound thalamotomy improves voice tremor in essential tremor: objective insight from artificial intelligence.

Scientific reports Apr 4, 2026
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Application of machine learning algorithm for predicting acute malnutrition among under 5 children in east Africa using recent DHS.

Scientific reports Apr 4, 2026
Acute malnutrition remains a critical public health challenge across East Africa, contributing substantially to under-five morbidity and mortality. Early identification of at-risk children using predictive models could enhance timely intervention. Th... read more 

Decipher-MR: a vision-language foundation model for 3D MRI representations.

NPJ digital medicine Apr 4, 2026
Magnetic Resonance Imaging is a critical imaging modality in clinical diagnosis and research, yet its complexity and heterogeneity hinder scalable, generalizable machine learning. Although foundation models have revolutionized language and vision tas... read more 

Integrating tumor habitat heterogeneity with a hybrid deep learning architecture for ultrasound radiomics: a dual-center study on non-invasive prediction of PD-L1 expression in triple-negative breast cancer.

Breast cancer research : BCR Apr 4, 2026
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Deep learning‑based ultra-high-resolution CT imaging of viral pneumonia at admission and after discharge.

BMC medical imaging Apr 4, 2026
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Development of an AI chatbot to support shared decision-making in rheumatoid arthritis: a two-phase usability study.

BMC medical informatics and decision making Apr 4, 2026
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Predicting the biological behavior of cervical squamous cell carcinoma: a machine learning approach using apparent transverse relaxation rate (R2* maps) radiomics nomogram.

BMC medical imaging Apr 4, 2026
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Mapping the landscape of AI in healthcare in Kazakhstan: a scoping review of readiness, development, and adoption.

BMC health services research Apr 4, 2026
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HybridMolGen: A Unified Framework for Goal-Directed Molecular Generation via Multi-Objective Reinforcement Learning.

Bioinformatics (Oxford, England) Apr 4, 2026
MOTIVATION: De novo molecular design remains a fundamental challenge in drug discovery, requiring simultaneous optimization of multiple conflicting objectives such as drug-likeness, synthetic accessibility, and novelty while maintaining chemical vali... read more 
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