Artificial Intelligence Medical Compendium

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

Showing 7,211 to 7,220 of 206,272 articles

SHARP: a hybrid metaheuristic approach for intelligent robotic path planning.

Scientific reports May 31, 2026
Robotic path planning is a fundamental requirement for autonomous navigation, where a robot must reach a target while avoiding obstacles and producing a feasible, smooth, and efficient trajectory. This paper presents SHARP, a hybrid metaheuristic pla... read more 

MedNet-FS: a few-shot learning framework for 3D MRI-based knee injury classification.

Scientific reports May 31, 2026
The development of deep learning models for 3D knee MRI analysis is critically constrained by the scarcity of large, annotated datasets. Few-shot learning (FSL) offers a promising pathway to leverage small data, but its effective application to volum... read more 

LLM-guided expert feature extraction with fusion-based complementary learning network for fish freshness classification using eye images.

Scientific reports May 31, 2026
Accurate, non-invasive grading of fish freshness remains challenging in dense and occluded environments, where the fish eye images serve as a reliable and consistently visible indicator of freshness. Loss of structural cues in the fish eye image ofte... read more 

Rapid autofluorescence based 3D optical imaging of the pancreatic cancer milieu at mesoscopic scale - stain-free volumetric segmentation.

Scientific reports May 31, 2026
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly challenged when applied to imaging of pancreatic ductal adenocarcinoma (PDAC) tissue. Most importantly,... read more 

Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.

Scientific reports May 31, 2026
This study aimed to evaluate the diagnostic performance of a deep learning-based algorithm for detecting acute ischemic stroke (AIS), including small infarcts, on non-contrast computed tomography (NCCT). A retrospective, multi-reader, pivotal, crosso... read more 

Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.

Scientific reports May 31, 2026
In many online courses, assessment is still reduced to a numerical score accompanied by brief, generic feedback. Learners with different difficulties often receive similar responses, while instructors have limited support for identifying at-risk stud... read more 

Deep learning-based CT-derived vertebral bone mineral density and metformin therapy: a longitudinal study in the Multi-Ethnic Study of Atherosclerosis.

Skeletal radiology May 31, 2026
OBJECTIVE: Evidence on metformin's skeletal effects remains conflicting. We emulated a target trial to evaluate associations between metformin therapy and deep learning-based CT-derived vertebral bone mineral density (vBMD). We also assessed variatio... read more 

Artificial Intelligence Among U.S. Hematology Oncology Fellows: A Multicenter Survey of Education, Attitudes, and Clinical Use.

JCO oncology practice May 31, 2026
PURPOSE: A prior national survey of U.S. hematology/oncology (H/O) fellowship curricula demonstrated substantial heterogeneity and limited protected didactic time. Since then, artificial intelligence (AI), including large language models (LLM) and am... read more 

AI-Driven discovery of brain-penetrant mTOR-independent autophagy enhancers for Alzheimer's disease.

Autophagy May 31, 2026
Current Alzheimer's disease therapies offer limited efficacy and are often accompanied by significant side effects, underscoring the urgent need for new treatment strategies. Enhancing autophagy represents a promising therapeutic approach, yet most k... read more 

Trends in Computational Metabolomics: A Perspective on Five Years of Software Development, Challenges, and Opportunities (2021-2025).

Analytical chemistry May 31, 2026
Metabolomics software development has accelerated rapidly, yet no recent systematic analysis has quantified how the landscape is evolving across computational methods, geographies, and the research community's technology adoption. There is a strong n... read more 
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