Artificial Intelligence Medical Compendium

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

Showing 57,171 to 57,180 of 227,153 articles

Asymmetric fiber orientation distribution estimation via unsupervised deep learning.

Medical image analysis Jan 29, 2026
Diffusion magnetic resonance imaging (dMRI) tractography is a key technique for reconstructing brain structural connectivity. A widely recognized limitation in tractography is the enforced symmetry of fiber orientation distribution functions (fODFs) ... read more 

Agri-vision Bangladesh: A multi-crop augmented image dataset for automated disease diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato.

Data in brief Jan 29, 2026
This article introduces Agri-Vision Bangladesh, a comprehensive, augmented image dataset designed to advance automated disease diagnosis in four economically vital agricultural crops: Bottle Gourd (Lagenaria siceraria), Zucchini (Cucurbita pepo), Pap... read more 

A dataset for human-written and AI-generated code source classification.

Data in brief Jan 29, 2026
The rapid rise of AI code generation tools has created significant challenges for computer science educators in verifying the authenticity of students' code writing. While generic AI detection tools exist, they often struggle to accurately identify A... read more 

3D Mitochondria Shape Library for Optical Microscopy (3DMSL): A multimodal dataset for deep learning based mitochondrial analysis.

Data in brief Jan 29, 2026
With the increasing development of deep learning solutions for fluorescence microscopy image analysis, there is a growing demand for annotated ground truth datasets to train supervised methods. However, obtaining these annotations is a laborious and ... read more 

Application of machine learning for sex-specific risk prediction of coronary artery calcification.

Nutrition, metabolism, and cardiovascular diseases : NMCD Jan 29, 2026
BACKGROUND AND AIMS: Sex-related differences in coronary artery calcium (CAC) burden and risk are well known but often ignored in traditional models. We aimed to determine whether sex-specific machine learning (ML) improves CAC risk prediction using ... read more 

A dynamic Malaysian sign language dataset for sign language recognition and translation.

Data in brief Jan 29, 2026
Sign languages all around the world are unique and diverse. Each sign language shows the differences in cultural nuances of its origin locale giving it is distinctive nature. Thus, despite the positive outcomes of sign language recognition and transl... read more 

Microbial consortia interactions and bioremediation of pesticides: A review on designing, mechanism and efficacy.

Pesticide biochemistry and physiology Jan 29, 2026
Ecosystems and human health are at serious risk due to the extensive application of pesticides in the agricultural system for controlling pests and diseases. The use of microbial consortia (MicroCons) has emerged as a promising solution for the remed... read more 

Balancing Innovation and Ethics: Ambient Listening Artificial Intelligence in Health Care.

Mayo Clinic proceedings. Digital health Jan 29, 2026
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Machine learning models for early mortality prediction in severe fever with thrombocytopenia syndrome.

iScience Jan 29, 2026
Severe fever with thrombocytopenia syndrome (SFTS) is a high-fatality viral disease where early mortality risk prediction is vital for clinical management. This retrospective multicenter cohort study enrolled 1,690 hospitalized SFTS patients from fiv... read more 

Response to venom immunotherapy: Exploratory retrospective machine learning clustering analysis.

The journal of allergy and clinical immunology. Global Jan 29, 2026
BACKGROUND: Hymenoptera venom immunotherapy is an established treatment for severe allergic reactions, aiming to modulate the immune response and reduce allergen sensitivity. However, traditional methods such as skin tests and specific IgE quantifica... read more 
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