AI Medical Compendium

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

Inorganic chemistry Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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

Substructure-guided Deep Graph Learning in Molecular Toxicity Prediction.

IEEE journal of biomedical and health informatics Apr 23, 2026

Computational toxicity prediction has become a key component in modern drug discovery. Although machine learning or deep learning techniques have reformed this field in recent years, more in-depth studies on addressing data imbalance, missing labels,... read more

SAM2HIPT: A hybrid deep learning framework integrating SAM2 and HIPT with joint loss optimization for immunohistochemical cell nucleus segmentation.

Biomedical physics & engineering express Apr 23, 2026

Nucleus segmentation in immunohistochemistry (IHC) images plays a critical role in cancer diagnosis and treatment assessment. However, existing methods remain limited in segmentation accuracy and boundary delineation due to staining heterogeneity, de... read more

Fast Occupational Upper-Limb Radiation Dose Prediction Using Machine Learning and Monte Carlo Simulation.

Journal of radiological protection : official journal of the Society for Radiological Protection Apr 23, 2026

OBJECTIVE: Interventional procedures expose physicians to scattered radiation, particularly to their upper extremities, posing occupational health risks. Existing extremity dosimeters such as TLDs, OSL rings and active personal dosimeters provide lim... read more

Artificial Intelligence Medical Compendium