Artificial Intelligence Medical Compendium

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

Showing 38,951 to 38,960 of 223,469 articles

Revealing the therapeutic potential of Laminaria japonica polysaccharides against cataract: evidence from transcriptomics, network pharmacology, and in vivo experiments.

International ophthalmology Mar 24, 2026
OBJECTIVE: To investigate the protective effects and underlying molecular mechanisms of Laminaria japonica polysaccharides (LPs) against cataract. METHODS: An integrated strategy combining transcriptomic analysis, network pharmacology, machine learni... read more 

Best fast MRI protocols for the knee: advantages and limitations.

Skeletal radiology Mar 24, 2026
Knee MRI plays a central role in musculoskeletal diagnostics but has traditionally been associated with relatively long acquisition times. Recent technological advances have fundamentally changed this paradigm. Parallel imaging (PI), simultaneous mul... read more 

Ethical AI innovation in healthcare and sustainable development in Bangladesh.

Journal of health organization and management Mar 24, 2026
PURPOSE: This study examines how artificial intelligence (AI) innovation and ethical governance influence sustainable healthcare outcomes in Bangladesh, with patient trust and perceived safety acting as mediators and digital and health literacy servi... read more 

Automatic framework for evaluating osteoarthritic cartilage severity: high-resolution cartilage thickness mapping and scoring.

European radiology Mar 24, 2026
OBJECTIVES: To develop and validate an automatic, scalable framework for assessing the femoro-tibial osteoarthritic cartilage severity using high-resolution cartilage thickness maps (CTh-Maps) and a CTh-Score. MATERIALS AND METHODS: The osteoarthriti... read more 

Deep learning reconstruction enables accelerated T2-weighted MRI for rectal cancer staging: a prospective study of diagnostic consistency across NEX value reduction.

Abdominal radiology (New York) Mar 24, 2026
OBJECTIVES: To evaluate the image quality, interpretation consistency, and scanning efficiency of deep learning-based reconstruction (DLR) algorithm (AIR™ Recon DL; GE Healthcare) compared with conventional reconstruction (ConR) in T2-weighted MRI fo... read more 

Artificial intelligence and radiomics in bladder cancer MRI: a scoping review of applications, performance, and barriers to clinical translation.

Abdominal radiology (New York) Mar 24, 2026
Artificial intelligence (AI) and radiomics show significant potential to augment bladder cancer (BC) MRI but face a critical translational gap. This scoping review of 79 studies maps a rapidly growing field dominated by retrospective, single-center d... read more 

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

arXiv Mar 24, 2026
Unsupervised anomaly detection plays a pivotal role in industrial defect inspection and medical image analysis, with most methods relying on the reconstruction framework. However, these methods may suffer from over-generalization, enabling them to re... read more 
Computer Vision and Pattern Recognition cs.AI

Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference

arXiv Mar 24, 2026
While spatial transcriptomics (ST) has advanced our understanding of gene expression in tissue context, its high experimental cost limits its large-scale application. Predicting ST from pathology images is a promising, cost-effective alternative, but... read more 
Computer Vision and Pattern Recognition

When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning

arXiv Mar 24, 2026
Language models increasingly "show their work" by writing step-by-step reasoning before answering. But are these reasoning steps genuinely used, or decorative narratives generated after the model has already decided? Consider: a medical AI writes "Th... read more 
Computation and Language cs.AI cs.LG

Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding

arXiv Mar 24, 2026
Large Vision-Language Models (LVLMs) have shown strong performance across various multimodal tasks by leveraging the reasoning capabilities of Large Language Models (LLMs). However, processing visually complex and information-rich images, such as inf... read more 
Computer Vision and Pattern Recognition cs.AI
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