Artificial Intelligence Medical Compendium

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

Showing 17,811 to 17,820 of 214,033 articles

Machine Learning Integration of Ultrasound Habitat Radiomics for Predicting Axillary Metastasis in Clinically Node-negative Triple-negative Breast Cancer.

Ultrasound in medicine & biology May 15, 2026
OBJECTIVE: To develop and validate habitat radiomics as a biomarker for predicting axillary lymph node metastasis (ALNM) in clinically node-negative (cN0) patients with triple-negative breast cancer (TNBC). METHODS: A total of 313 TNBC patients from ... read more 

PromoterAtlas: decoding regulatory sequences across Gammaproteobacteria using a transformer model.

Nature communications May 15, 2026
Recent advances in deep learning, particularly transformer architectures, have improved computational approaches for biological sequence analysis. Despite these advances, computational models for bacterial promoter prediction have remained limited by... read more 

Neural Responses to Affective Sentences Reveal Signatures of Depression.

Translational psychiatry May 15, 2026
Major Depressive Disorder (MDD) is a highly prevalent mental health condition, and a deeper understanding of its neurocognitive foundations is essential for identifying how core functions such as emotional and self-referential processing are affected... read more 

Artificial intelligence with deep learning driven entropy-curvature attention mechanism for detection and segmentation of skin lesions using biomedical images.

Scientific reports May 15, 2026
In medical image analysis, skin lesion diagnosis remains a complicated task. Skin lesions are a prevalent form of skin disease that exists globally. A malignant skin cancer, otherwise called melanoma, usually starts after melanocyte cells begin to gr... read more 

Integrated van der Waals waveguides for all-optical nonlinear photonic circuits.

Nature communications May 15, 2026
All-optical deep neural networks offer significant improvements in processing speed and energy efficiency compared with traditional electronic systems. However, achieving broadband all-optical signal transmission with ultrafast processing speed in co... read more 

Simultaneous multi-slice Cardiac Diffusion Tensor Imaging with variable CAIPIRINHA shifts and artefact-aware AI.

Medical image analysis May 15, 2026
Cardiac Diffusion Tensor Imaging (cDTI) provides unique insights into myocardial microstructure in-vivo but requires averaging multiple repetitions for adequate signal quality, leading to prohibitively long acquisition times. Standard acceleration st... read more 

Intelligent hybrid decision support systems for education policy and institutional performance optimization.

Scientific reports May 15, 2026
The rapid evolution of digital technologies has accelerated the transition toward Education 5.0, where intelligent systems support advanced learning environments and data-driven institutional management. However, selecting the most effective educatio... read more 

Distributionally robust optimization dispatch strategy for virtual power plants based on data generation augmentation.

Scientific reports May 15, 2026
The newly constructed renewable energy-oriented virtual power plants (VPPs) suffer from a scarcity of operation data for renewable energy and the uncertainties from both generation and load, which severely impact on the reliable operation and economi... read more 

Machine-learning guided engineering of Mo4+ activated halide near-infrared phosphors for AI-augmented medical imaging.

Nature communications May 15, 2026
Developing highly efficient lead-free near-infrared (NIR) phosphors with strong thermal stability is a key challenge in material design and optoelectronics applications. Here, a machine-learning (ML) guided co-doping strategy to construct a broadband... read more 

Enhanced space-variant deblurring of spacecraft images via detail-preserving techniques.

Scientific reports May 15, 2026
During spacecraft launch, flight, and docking operations, monitored images often suffer from spatially variant blur caused by atmospheric turbulence, defocusing, and relative motion. To address this challenge, we propose a novel unsupervised deblurri... read more 
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