Artificial Intelligence Medical Compendium

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

Showing 37,831 to 37,840 of 223,469 articles

Machine learning-assisted biosensor for microRNA analysis based on RCA-mediated hemin/G-quadruplex and thiol-functionalized red carbon dots.

Journal of colloid and interface science Mar 28, 2026
Tumor biomarkers play a critical role in the early detection of cancer. Therefore, there is an urgent need for rapid, user-friendly, and precise miRNA detection methods suitable for resource-limited settings. In this study, a label-free fluorescence ... read more 

Acceptability of GenAI to support pharmacist research skill development.

Research in social & administrative pharmacy : RSAP Mar 28, 2026
BACKGROUND: Generative AI (GenAI) has increasingly been used in ways to support health professions education but the utility of it to support research skill development for pharmacy residents is not well established. OBJECTIVES: We examined perceptio... read more 

Reinforcement learning for real-time adaptive radiotherapy.

Artificial intelligence in medicine Mar 28, 2026
State-of-the-art radiotherapy machines with integrated magnetic resonance (MR) imaging, known as MR-Linacs, provide the capability to track tumors in real time. This capability aids delivery of precise irradiation in the presence of patient motion, s... read more 

Using a single actor to output personalized policy for different intersections.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2026
Recent advances in Multi-Agent Reinforcement Learning (MARL) have demonstrated significant potential for adaptive traffic signal control. However, existing MARL approaches face dual challenges: Complete parameter sharing among agents leads to insuffi... read more 

Modeling and prediction of desalination performance in a scaled-up membrane capacitive deionization system using machine learning and deep learning.

Water research Mar 28, 2026
Membrane capacitive deionization (MCDI) is a promising desalination technology characterized by low energy consumption. However, its practical application often relies heavily on trial-and- error approaches, which are time consuming and inefficient f... read more 

Contrast sensitivity in multimodal large language models: A psychophysics-inspired evaluation.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2026
Understanding how Multimodal Large Language Models (MLLMs) process low-level visual features is critical for evaluating their perceptual abilities and has not been systematically characterized. Inspired by human psychophysics, we introduce a behaviou... read more 

Dimension- adaptive latent representation learning with normalized hyperbolic tensor rank for multi-view clustering.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2026
In the field of multi-view clustering, latent representation methods have attracted much attention due to their ability to extract reliable feature representations from the underlying structure of raw data. However, existing latent representation met... read more 

Twin contrastive interventional-cause hashing for unsupervised cross-modal retrieval.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2026
Most unsupervised deep cross-modal hash retrieval (UDCMH) methods measure multimedia instances using similarity loss, while contrastive cross-modal hash retrieval (CMH) methods introduce contrastive loss. However, whether based on contrastive learnin... read more 

Towards efficient language giants: A comprehensive survey on structural optimizations and compression techniques for large language models.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2026
The impressive success of large language models (LLMs) across a broad spectrum of NLP tasks has attracted considerable attention in both academia and industry. However, their inference incurs substantial computational and memory overhead, making it c... read more 

Toward a Harmonized Definition of Digital Health Technologies for Use in Health Technology Assessment: A Scoping Review and Modified Delphi Consensus Study.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Mar 28, 2026
OBJECTIVES: The objectives of this study are to map definitions of digital health, eHealth, mHealth, telehealth, telemedicine, and artificial intelligence to further expand an existing conceptual map to distinguish between these terms and propose a h... read more 
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