Artificial Intelligence Medical Compendium

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

Showing 35,121 to 35,130 of 222,841 articles

Carotid Imaging: Current Concepts and Advanced Imaging.

Seminars in neurology Apr 7, 2026
Carotid atherosclerosis is a major cause of ischemic stroke, historically managed according to luminal stenosis severity. However, stenosis alone fails to capture plaque biology, as features such as intraplaque hemorrhage (IPH), lipid-rich necrotic c... read more 

The Role of Large Language Models in Teaching Psychiatric Semiology: A Systematic Review.

Trends in psychiatry and psychotherapy Apr 7, 2026
INTRODUCTION: Teaching psychiatric semiology faces challenges such as the limited availability of real patients for educational purposes and a shortage of specialized instructors. This systematic review investigated the applications of Large Language... read more 

A double-blind, crossover, non-inferiority randomised controlled trial where primary care providers and patients compare human-generated and AI-generated digital health messages: the AI-CARE study protocol.

BMJ open Apr 7, 2026
INTRODUCTION: Primary care is facing multiple crises, including an increase in health misinformation. Digital health messaging by primary care providers has been shown to reach a diverse patient population. With the uptake of Generative Artificial In... read more 

Publicly available multimodal large language models for ocular surface infections: benchmarking against corneal specialists in triage, diagnosis and treatment.

The British journal of ophthalmology Apr 7, 2026
BACKGROUND/AIMS: Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow or insensitive microbiological techniques. Artificial intelligence may complement emerging molecular tools by supporting rapi... read more 

Pushing the limits of fluorescence imaging with a restoration neural network aggregating large-view statistics.

Nature communications Apr 7, 2026
Deep learning has demonstrated remarkable success in augmenting fluorescence imaging under photon-limited conditions. However, existing restoration networks are typically devised for training with augmented patches far smaller than the full-view raw ... read more 

A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks.

Scientific reports Apr 7, 2026
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Transfer-learning guided design of high-performance conjugated polymers for low-voltage electrochemical transistors.

Nature communications Apr 7, 2026
Artificial intelligence-driven materials development has emerged as a powerful alternative to traditional trial-and-error methods. Despite its promise, these methods often struggle to uncover novel materials or generate actionable insights in emergin... read more 

Bridging the Gap in Chinese Legal Conflict Review: A Dataset, Benchmark Tasks, and Framework.

Scientific data Apr 7, 2026
Natural language processing has enabled rapid progress in legal artificial intelligence, but automated review of conflicts between superior and subordinate laws remains largely unexplored. Maintaining consistency across legal hierarchies in Chinese l... read more 

Predicting methane adsorption in coal and shale with white-box and black-box machine learning models.

Scientific reports Apr 7, 2026
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Inverse design of an ultra-wideband endfire grooved half-mode waveguide (G-HMWG) antenna based on the CNN approach.

Scientific reports Apr 7, 2026
This study presents an AI-assisted inverse design methodology for a compact and ultra-wideband grooved half-mode waveguide (G-HMWG) end-fire antenna. A parametric dataset was generated using CST full-wave simulations, and the corresponding radiation-... read more 
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