Artificial Intelligence Medical Compendium

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

Showing 12,561 to 12,570 of 210,436 articles

A Comprehensive Self-Medication Management System to Reduce Medication Errors Among People Living With Dementia: Mixed Methods Feasibility and Usability Study.

JMIR human factors
BACKGROUND: Medication adherence is a critical challenge for people living with dementia and their caregivers. Standard care relies on appropriate medication management, yet there are few effective options beyond manual pill-counting and caregiver-ad... read more 

Morphing median fin enhances untethered tuna-inspired robotic fish's linear acceleration and turning maneuverability.

Bioinspiration & biomimetics
Median fins in fish-like swimmers critically govern linear acceleration and maneuvering performance, yet their function remains underexplored in untethered robotic systems. To address this gap, we developed a free-swimming tuna-inspired robotic fish ... read more 

The progesterone to estradiol ratio predicts fear extinction in mice and humans.

Neurobiology of stress
Sex differences in fear memory are well documented, yet the role of menstrual cycle phases and ovarian hormone dynamics remains unclear. Here, we investigated the individual and combined effects of progesterone and estradiol on fear acquisition and w... read more 

Large-scale bathymetry in high-turbidity rivers enabled by remote sensing and artificial intelligence.

Environmental science and ecotechnology
Water depth, as a direct indicator of a river's continuous underwater topography, provides crucial information for studies such as investigating channel morphological evolution, modeling sediment transport, and quantifying material flux. Conventional... read more 

Fine-scale structural information substantially improves mRNA therapeutic stability prediction.

Molecular therapy. Nucleic acids
The success of COVID-19 mRNA vaccines has made the in-solution stability optimization of mRNAs a key objective. However, we still lack a complete understanding of sequence metrics that influence mRNA in-solution stability. RNA secondary structure pla... read more 

Molecular design of electrolyte additives for aqueous zinc-ion batteries via reinforcement learning and quantum chemistry calculations.

The Journal of chemical physics
The use of electrolyte additives is regarded as a cost-effective strategy to regulate the components of aqueous zinc-ion batteries (AZIBs) and to improve their overall electrochemical performance. Here, we demonstrate an artificial-intelligence-guide... read more 

Simulating non-Markovian open quantum dynamics by exploiting physics-informed neural network.

The Journal of chemical physics
This work integrates the physics-informed neural network (PINN) approach into the neural quantum state framework to simulate open quantum system dynamics and to circumvent the computationally expensive time-dependent variational principle required in... read more 

Generating synthetic CT from MR images for radiation-free computer-assisted quantification of hip morphology.

European journal of radiology
OBJECTIVES: To compare MR image-based synthetic CT (sCT) with conventional CT for computer-assisted quantification of hip morphology by evaluating osseous structure segmentation quality and hip morphological parameters. MATERIALS AND METHODS: This re... read more 

Water-MAS: A multi-agent LLM framework with instruction-data decoupling for smart water management.

Water research
Sustainable water management demands transforming heterogeneous, long-sequence water data into timely, data-driven insights. While single-agent systems can perform basic tasks through tool integration, they suffer from low accuracy, limited adaptabil... read more 

Predicting PROTAC degradation activity and selectivity of effective E3 ligase through harnessing a combination of AtomPair fingerprints and multiple machine learning algorithms.

Journal of molecular graphics & modelling
Proteolysis targeting chimeras (PROTACs) are drugs that recruit target proteins and E3 ligases to leverage the ubiquitin-proteasome system (UPS) for specific degradation of proteins. This approach has received significant attention because of their a... read more