Artificial Intelligence Medical Compendium

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

Showing 41,691 to 41,700 of 223,853 articles

WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs.

Neural networks : the official journal of the International Neural Network Society
Structured pruning is widely recognized as an effective method for reducing the size and computational demands of large language models (LLMs). Traditionally, structured pruning follows a pretrain-prune-retrain framework. Given the high cost of retra... read more 

Mining user features with hyperbolic representations for diffusion prediction.

Neural networks : the official journal of the International Neural Network Society
The study of information diffusion has great practical significance in real-world applications, and has attracted the attention of many scholars. Despite remarkable progress, existing diffusion prediction models still suffer from several key limitati... read more 

Handling distribution shifts on dynamic graphs via causal invariance principles.

Neural networks : the official journal of the International Neural Network Society
Dynamic Graph Neural Networks (DyGNNs) typically assume that training and test data follow an independent and identically distributed assumption. However, in real-world scenarios, the evolving nature of dynamic graph structures violates the assumptio... read more 

Smart graphene-enhanced ceramic material refractive index sensor simulation design developed for highly sensitive breast Cancer detection optimized with machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Based on the surface plasmon resonance (SPR) technique, the proposed biosensor is investigated as an SPR-based sensing platform for detecting breast cancer cells, specifically MCF-7 and MDA-MB-231 cells. Developed biosensor features an octagonal cyli... read more 

Artificial intelligence as medical device in radiology in 2025: the regulatory scenario in the EU, USA, and China.

European radiology
In the last decade, advanced AI methods were applied to radiology, providing tools for clinical practice. Regulations across countries are a relevant topic, considering that AI tools must be regarded as medical devices. We describe the regulatory sce... read more 

Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations.

European radiology
OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant findings, affects patient trust, anxiety, follow-up intentions, and attitudes toward AI in mammography. The study also assessed whether adding an expla... read more 

Temporal and Cell-Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Disruptions in chromatin remodelers and synaptic proteins represent major genetic risk factors for autism spectrum disorder (ASD), yet how these distinct gene classes converge to impair circuit function remains unclear. CHD2, a chromatin remodeler li... read more 

Hallucinated citations produced by generative artificial intelligence may constitute research misconduct when citations function as data in scholarly papers.

Accountability in research
In this article, we discuss the growing problem of hallucinated citations produced by Generative Artificial Intelligence (GenAI) in scholarly research and writing. We argue that GenAI hallucinated citations might qualify as a provable instance of res... read more 

Crude Oil Analysis by Low-Field NMR Relaxometry.

Magnetic resonance in chemistry : MRC
Reliable characterization of crude oil properties remains a central task in petroleum research and industry. Conventional methods established by ASTM standards are time-consuming and rely on toxic reagents, which have motivated the development of alt... read more