Artificial Intelligence Medical Compendium

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

Showing 36,381 to 36,390 of 223,137 articles

Learning with less supervision: A survey of label-efficient learning for medical image analysis.

Medical image analysis Apr 2, 2026
Deep learning has significantly advanced medical imaging analysis (MIA), achieving state-of-the-art performance across diverse clinical tasks. However, its success largely depends on large-scale, high-quality labeled datasets, which are costly and ti... read more 

Prediction of post-stroke brain swelling using biomechanical modelling and deep neural networks.

Medical image analysis Apr 2, 2026
Malignant stroke is a life-threatening condition, with mortality rates reaching up to 80% among patients managed conservatively. Brain swelling volume and midline shift are pivotal clinical markers for predicting stroke outcomes. However, brain oedem... read more 

Predicting neoadjuvant therapy response in breast cancer from preoperative biopsy via spatial-semantic-differential learning and interpretable clinicopathological-guided fusion.

Medical image analysis Apr 2, 2026
Predicting pathological complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer remains challenging due to high tumor heterogeneity and disparities across data modalities. This study introduces a multimodal learning framework that integ... read more 

Machine learning potential for modelling dynamic hydrogen bond networks in MOF MIL-120.

Chemical science Apr 2, 2026
Metal-organic frameworks (MOFs) are porous materials with the potential for gas adsorption and separation technologies due to their tunable structural and chemical characteristics. However, simulating gas adsorption isotherms in MOFs with DFT-level a... read more 

Artificial intelligence for ocean phenomena forecasting.

Science bulletin Apr 2, 2026
Advancements in artificial intelligence (AI) are ushering in a new era of ocean forecasting. AI-based ocean forecasting falls into two categories: ocean phenomena (OP) forecasting and ocean state variable (OSV) forecasting. Compared to OSV forecastin... read more 

Optimal reactive power dispatch based on a multitask-assisted constrained multimodal multi-objective evolutionary algorithm.

iScience Apr 2, 2026
In modern power systems, multi-objective optimal reactive power dispatch is crucial for reducing power loss while maintaining bus voltage stability. However, gaps in multimodal feature mining and multi-objective decision-making demand further progres... read more 

Constructing a corpus of hematologic pathology notes for the fine-tuning of BERT models for named entity recognition.

Computers in biology and medicine Apr 2, 2026
BACKGROUND: Microscopic, immunologic, and chemical testing play a major role in the diagnostic process of hematologic cancer patients. Pathologists record the complex results of these tests in highly descriptive, free-text clinical notes. As unstruct... read more 

RxPairEvid and GraphFusion: Multimodal pharmacovigilance and mechanistic knowledge-graph evidence for drug-drug interaction prediction.

Computational biology and chemistry Apr 2, 2026
Drug-drug interactions (DDIs) are a major cause of preventable adverse drug reactions, yet experimental screening cannot keep pace with the growing number of possible drug pairs. We present RxPairEvid, a large-scale multimodal evidence bank containin... read more 

Chromosome-scale assembly of the elite Coptis chinensis cultivar 'Chulian No. 1' and decoding of fine clonal variations using geospatial-genomic machine learning to facilitate medicinal plant breeding.

Horticulture research Apr 2, 2026
Genetic homogenization due to chronic clonal propagation poses a notable challenge to the sustainable utilization of Coptis chinensis Franch. We developed a novel elite cultivar, 'Chulian No. 1', with superior yield (+34%), disease resistance, and ph... read more 

A state-of-the-art review of scientific, industrial, and commercial developments in water leakage management for water supply systems.

Water research Apr 2, 2026
Detecting water leakage represents a significant and pervasive challenge in water supply systems due to the complexity of network behavior, and the diversity of leakage manifestations, which may remain undetected. The magnitude of leakage varies cons... read more 
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