Artificial Intelligence Medical Compendium

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

Showing 2,871 to 2,880 of 168,134 articles

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

Probiotics and antimicrobial proteins Aug 6, 2025
The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and influence physiological processes. This study investigates the effects of Bifidobacterium, isolated from skin microbiota, on glucagon-like peptide-1 ... read more 

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Diabetes technology & therapeutics Aug 6, 2025
Cardiovascular risk stratification based on traditional risk factors lacks precision at the individual level. While coronary artery calcium (CAC) scoring enhances risk prediction by detecting calcified atherosclerotic plaques, it may underestimate r... read more 

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

arXiv Aug 6, 2025
The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large language models ((M)LLMs), this dream is closer to reality, as (M)LLM-... read more 
Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Machine Learning

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data Aug 6, 2025
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al... read more 
Machine Learning Animals Deep Learning Image Processing, Computer-Assisted Biodiversity Austria Moths Butterflies

Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning

arXiv Aug 6, 2025
Federated learning (FL) enables collaborative model training without sharing raw data, but individual model updates may still leak sensitive information. Secure aggregation (SecAgg) mitigates this risk by allowing the server to access only the sum ... read more 
Cryptography and Security

Reusable Noncomplementary DNA-Based Neural Network.

Journal of the American Chemical Society Aug 6, 2025
Neural network computation is a cornerstone of modern artificial intelligence, with electronic software-based approaches achieving widespread success due to their ability to enable continuous, iterative learning on the same platform. DNA-based neural... read more 

Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

arXiv Aug 6, 2025
Large language models (LLMs) show significant potential in healthcare, prompting numerous benchmarks to evaluate their capabilities. However, concerns persist regarding the reliability of these benchmarks, which often lack clinical fidelity, robust... read more 
Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multimedia

TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening

arXiv Aug 6, 2025
The increasing demand for mental health services has outpaced the availability of real training data to develop clinical professionals, leading to limited support for the diagnosis of depression. This shortage has motivated the development of simul... read more 
Computation and Language Artificial Intelligence

Decoding Covert Visual Attention in Space and Time from Neural Signals.

Annual review of vision science Aug 6, 2025
Visual attention prioritizes relevant stimuli in complex environments through top-down (goal-directed) and bottom-up (stimulus-driven) mechanisms within cortical networks. This review explores the neural mechanisms underlying visual attention, focusi... read more 

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

NPJ digital medicine Aug 6, 2025
We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. This devi... read more 
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