Artificial Intelligence Medical Compendium

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

Showing 27,551 to 27,560 of 218,939 articles

Advances in Large-Scale Surveying and Monitoring of Large Wild Animals Using Unmanned Aerial Vehicles.

Integrative zoology
As the number of endangered animal species increases, their conservation requires effective methods for the surveying and monitoring of the spatial and temporal distributions of targeted species, often on a large scale. Traditional methods often fail... read more 

AI in Atomic Force Microscopy: Advancing Biological Nanoscale Imaging and Autonomous Discovery.

ACS nano
Atomic force microscopy (AFM) enables label-free nanoscale imaging and nanomechanical profiling but remains constrained by low throughput, operator dependence, and variability in data interpretation. Artificial intelligence (AI) transforms AFM into a... read more 

Efficient and Equivariant Prediction of Distributed Charges for Accurate Molecular Electrostatics.

Journal of chemical theory and computation
A machine learning (ML) based, equivariant neural network for constructing distributed charge models (DCMs) of arbitrary resolution─DCM-net─is presented. DCMs efficiently and accurately model the anisotropy of the molecular electrostatic potential (E... read more 

Accelerating Discovery of Ternary Chiral Materials via Large-Scale Random Crystal Structure Prediction.

Inorganic chemistry
Chiral inorganic crystals, particularly semiconductors with Weyl points near the band edges or semimetals hosting Weyl points at the Fermi level, have attracted considerable interest; yet, they remain scarce in existing materials databases. This stud... read more 

Development of a Child Articulation Screening Test Within Digital Therapeutics: Delphi Study.

JMIR formative research
BACKGROUND: Speech sound disorders are common in children and are associated with an increased risk of academic reading difficulties. The COVID-19 pandemic further highlighted the need for remote and digitalized assessment tools. In South Korea, stan... read more 

Dynamic Balance Control and Postural Adaptation in Human-Robot Collaborative Manipulation: Within-Subject Experimental Study.

JMIR human factors
BACKGROUND: The integration of robots into industrial settings has rapidly advanced, aiming to reduce human involvement in demanding tasks while improving overall efficiency. As collaborative robots (cobots) become more prevalent, assessing the physi... read more 

Building a Science-Driven Business: How National Institutes of Health Funding Enabled an Evidence-Based Approach to Maternal Mental Health Innovation.

JMIR formative research
The digital mental health (DMH) industry has grown drastically over the last decade; yet, many DMH products have failed to demonstrate meaningful clinical outcomes, in large part due to lack of scientific evidence. This viewpoint paper highlights an ... read more 

Recent Advances on Off-Policy Reinforcement Learning for Optimization Control.

IEEE transactions on cybernetics
Reinforcement learning (RL), a key artificial intelligence technique, has been widely studied and applied over the past two decades to solve various optimization control problems. Generally speaking, there are two basic frameworks for RL-based contro... read more 

Monte Carlo Marginalization: A Differentiable Method to Learn High-Dimensional Distributions.

IEEE transactions on neural networks and learning systems
Learning intractable distributions in high-dimensional spaces remains a fundamental challenge. While prevalent deep learning methods often rely on restrictive prior assumptions, we propose a novel differentiable method that approximates intractable d... read more 

Classifying Post-COVID "Brain Fog" Patients and Identifying Key ROIs via Graph Neural Network Model.

IEEE journal of biomedical and health informatics
Brain fog has raised significant public health concerns as a common neurocognitive impairment in the post-COVID-19 condition, involving memory loss, poor concentration, and language difficulties. However, their neural mechanisms remain unclear, and o... read more