Artificial Intelligence Medical Compendium

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

Showing 51,501 to 51,510 of 225,182 articles

The contribution of phenolic endocrine-disrupting chemicals to breast cancer risk: A comprehensive bioinformatics analysis.

Scientific reports Feb 11, 2026
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Use large language model to enhance reasoning of another large language model through reward updated GRPO.

Scientific reports Feb 11, 2026
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A lightweight hybrid CNN and transformer model for medicinal leaf disease classification with explainable AI.

Scientific reports Feb 11, 2026
Medicinal plants including Ocimum tenuiflorum L. (Tulsi), Azadirachta indica A. Juss. (Neem), and Kalanchoe pinnata (Lam.) Pers. (Patharkuchi) are essential sources of bioactive compounds, yet leaf diseases threaten their yield and phytochemical inte... read more 

An end-to-end convolutional neural network for secure image transmission via joint encryption and steganography.

Scientific reports Feb 11, 2026
Further attachment of image-based communication speed to sensitive areas must be provided with confidential and safe transmission. Conventional methods use encryption and steganography as distinct methods, hence producing either conspicuous artifacts... read more 

Digital decision support integrated with diagnostics and precision fungicide application for Southern Corn Leaf Blight in maize.

Scientific reports Feb 11, 2026
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State and Diffusion of National Institutes of Health Funding of AI in Radiology.

Journal of imaging informatics in medicine Feb 11, 2026
Artificial intelligence research has profound implications for the future of radiology, making it essential to understand funding patterns and diffusion rate from the National Institutes of Health (NIH), historically the leading source of biomedical ... read more 

AI-driven diagnosis of acute aortic syndrome based on multi-modal information fusion.

Scientific reports Feb 11, 2026
Acute aortic syndrome (AAS) is a severe cardiovascular disorder with a high mortality rate in the early stage of onset. In this study, the aim was to develop a multi-modal multi-scale fusion (MMMF) model to enhance early identification and classifica... read more 

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images.

Scientific reports Feb 11, 2026
Retinal detachment (RD) is a serious ocular disease that can lead to permanent vision loss. In cases with fundus-obscuring vitreous hemorrhage (VH), it is difficult to detect RD even using ocular ultrasonography. We developed a convolutional neural n... read more 

Automated cone photoreceptor detection using synthetic data and deep learning in confocal adaptive optics scanning laser ophthalmoscope images.

Scientific reports Feb 11, 2026
Adaptive optics scanning laser ophthalmoscope (AOSLO) imaging enables the cone photoreceptor mosaic to be visualised in the living human eye. Performing quantitative analysis of these images requires identification of individual photoreceptors. This ... read more 

Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients.

Communications medicine Feb 11, 2026
BACKGROUND: Accurate health assessments in the Emergency Department are critical for guiding treatment decisions. However, these assessments are often heavily influenced by chronological age, which does not reflect the variability in physiological he... read more 
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