Artificial Intelligence Medical Compendium

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

Showing 41,031 to 41,040 of 223,737 articles

Altitude-resolved prediction of roadside air pollution using UAV measurements and machine learning.

Scientific reports Mar 17, 2026
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Manufacturing-aware generative models enable petascale synthesis of designed DNA.

Nature biotechnology Mar 17, 2026
Generative modeling offers a robust framework for designing functional DNA, RNA and protein sequences. However, physical synthesis of these sequences at scale is prohibitively expensive. We introduce a method to efficiently synthesize DNA designs fro... read more 

A lightweight deep learning architecture for automatic shrimp disease classification.

Scientific reports Mar 17, 2026
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Automated detection and segmentation of Weiss ring in fundus photography images using deep learning.

Scientific reports Mar 17, 2026
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Artificial intelligence in neurology practice: promise, perils, and a roadmap for responsible integration.

Journal of neurology Mar 17, 2026
Artificial intelligence (AI) has emerged as a transformative force in neurology, offering unprecedented potential to enhance diagnostic precision, streamline clinical workflows, and accelerate translational research. However, the integration of AI in... read more 

Limited validity of an AI-powered app for dietary assessment in females with obesity.

NPJ digital medicine Mar 17, 2026
Artificial intelligence (AI) is transforming dietary assessment, yet few tools have been clinically validated against physiological reference methods. This cross-sectional observational validation study conducted under free-living conditions evaluate... read more 

FAD-MIL: a weakly supervised fracture detection model based on X-ray images.

Scientific reports Mar 17, 2026
Fractures are among the most common presentations to emergency and orthopedic services, yet radiograph interpretation remains inconsistent, particularly in resource-limited and off-hours settings. Weakly supervised learning offers a scalable alternat... read more 

Development of a convolutional neural network for the endoscopic classification of pouchitis in patients after restorative proctocolectomy.

Techniques in coloproctology Mar 17, 2026
BACKGROUND AND AIMS: The aim of this prospective single-center study is to train convolutional neural networks (CNNs) to detect the presence of pouchitis in two-dimensional (2D) images acquired during pouchoscopies and test its feasibility. METHODS: ... read more 

Advanced deep learning enables prediction of allogeneic stem cell mobilization success.

Bone marrow transplantation Mar 17, 2026
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Artificial Intelligence, Real Results: AI Successfully Risk-Stratifies Patients with MASLD.

Digestive diseases and sciences Mar 17, 2026
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