Artificial Intelligence Medical Compendium

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

Showing 49,401 to 49,410 of 224,513 articles

RGTFormer: Predicting mutation-associated multi-drug resistance in Mycobacterium tuberculosis using a categorical gated transformer and relational graph convolutional network.

Computational biology and chemistry Feb 17, 2026
Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health concern, especially due to multi-drug resistance. Resistance often arises from single nucleotide mutations in drug-target genes, making early prediction vital for ... read more 

Edge-updating graph neural networks for modeling feature interactions in tabular data.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2026
We proposed a message-passing graph neural network (GNN) based on graph isomorphism network (GIN) for learning on tabular data. Fully-connected, unweighted feature graphs were constructed from tabular data using contextual feature encodings for numer... read more 

An efficient and low-latency attention model for event denoising.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2026
Event-based cameras are bio-inspired vision sensors that capture brightness changes at each pixel independently, generating sparse events with ultra-low latency. Unlike frame-based cameras, they provide highly efficient, temporally precise scene info... read more 

Implicit hierarchical temporal-spatial residual model for long-term video prediction.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2026
Predicting long-term future frames in videos is challenging due to prediction ambiguities and error amplification over time. These issues become more pronounced in distant frames, where small errors accumulate into significant discrepancies. Few stud... read more 

Predicting treatment response in psychosis using fMRI: A comprehensive review.

Journal of psychiatric research Feb 17, 2026
In recent years, the use of functional Magnetic Resonance Imaging (fMRI) methods to predict treatment response in schizophrenia (SCZ) through statistical and machine learning (ML) algorithms has increased. We conducted a comprehensive literature revi... read more 

A Longitudinal Analysis of the Usefulness, Readability, Consistency, and Capacity of Artificial Intelligence Chatbot Responses Regarding the Reality of Chronic Pain in Children.

Paediatric & neonatal pain Feb 17, 2026
To assess longitudinal improvements in generative AI chatbot responses to a sensitive pediatric chronic pain prompt and to evaluate the impact of providing explicit scoring criteria on their performance. In January 2025, four GenAI chatbots (ChatGPT-... read more 

Ultrasound-assisted quercetin treatment for mono- and dual-species biofilm eradication in milk: Modeling and optimization using GA-ANN approach.

Ultrasonics sonochemistry Feb 17, 2026
The presence of mono- and dual-species biofilms in food industry poses a critical threat with respect to food security and safety at a global scale. This study explored a novel synergistic eradication strategy using ultrasonication and quercetin, for... read more 

Integrating non-targeted metabolomics and machine learning for comprehensive phytochemical profiling and intelligent discrimination of Acorus tatarinowii and its adulterants.

Journal of pharmaceutical and biomedical analysis Feb 17, 2026
The dried rhizome of Acorus tatarinowii Schott (SCP) is a valued medicinal material in traditional Chinese medicine (TCM). However, its quality and efficacy are often compromised by adulteration with morphologically and chemically similar species, in... read more 

From AI acceptance to self-efficacy in multilingual learning: AIAC scale development and the mediating role of learning enjoyment.

Acta psychologica Feb 17, 2026
Artificial intelligence (AI) is increasingly embedded in language education, and learners' acceptance of AI, together with their multilingual learning enjoyment (MLE) and self-efficacy (SE), is considered pivotal to meaningful learning gains. This st... read more 

AI-generated content and business English speaking: A mixed-methods study of SpeakGuru's impact on performance, motivation, and engagement.

Acta psychologica Feb 17, 2026
The integration of Artificial Intelligence-Generated Content (AIGC) tools in language education, particularly for Business English learners, has gained increasing attention; however, experimental evidence on their pedagogical impact remains limited. ... read more 
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