AI Medical Compendium

Nursing at the Interface: Care, Control and Artificial Intelligence (AI).

Journal of advanced nursing Jan 21, 2026

Optimizing toward Discovery: AI-Driven Exploration of Lewis Acid-Base Catalysts for PET Glycolysis.

Journal of the American Chemical Society Jan 21, 2026

The depolymerization of polyethylene terephthalate (PET) through efficient chemical recycling remains a central challenge in plastic waste valorization, in part because the catalyst landscape is vast and sparsely explored. Here, we present an artific... read more

Comparative Analysis of Muscle Coordination Patterns During Squatting in Trained and Untrained Individuals.

Journal of applied biomechanics Jan 21, 2026

Squatting, a closed-kinetic chain exercise, requires the complex coordination of multiple muscles. However, the differences in muscle coordination patterns between individuals with varying levels of exercise proficiency remain unclear. This study aim... read more

Semi-supervised learning for dose prediction in targeted radionuclide therapy: a synthetic data study.

Physics in medicine and biology Jan 21, 2026

Objective.Accurate and personalized radiation dose estimation is crucial for effective targeted radionuclide therapy (TRT). Deep learning (DL) holds promise for this purpose. However, current DL-based dosimetry methods require large-scale supervised ... read more

Theoretical investigation of the excited-state dynamics in the CH4 + O(3P) → CH3 + OH reaction.

The Journal of chemical physics Jan 21, 2026

In combustion processes, particularly in systems involving reactive oxygen species (ROS), the role of electronically excited states has become a critical research frontier. This study employs the benchmark combustion reaction CH4 + O(3P) → CH3 + OH a... read more

Development of a deep neural network model for simultaneous analysis of extracellular analyte gradients for a population of cells.

Artificial intelligence in the life sciences Jan 21, 2026

Detecting the spatial release of extracellular nitric oxide (NO) is essential for understanding the dynamics in cell communication for physiological and pathological processes. This study presents an innovative methodology that integrates fluorescenc... read more

AI-driven optimization of sustainable solvent-based extraction: A deep learning approach for green sample preparation.

Analytica chimica acta Jan 21, 2026

BACKGROUND: This study introduces a data-driven deep learning framework for optimizing the extraction of plant biomolecules, aiming to improve both efficiency and sustainability in analytical sample preparation. Conventional extraction methods such a... read more

Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.

The American journal of emergency medicine Jan 21, 2026

BACKGROUND: This study aimed to demonstrate the feasibility of using computer vision (CV) to unobtrusively extract body motion metrics from videos of emergency medicine (EM) clinicians, and gather validity evidence of these metrics to differentiate P... read more

Exploring the impact of operating parameters and catalyst design on propane catalytic oxidation: a machine learning perspective.

Physical chemistry chemical physics : PCCP Jan 21, 2026

Propane is a common pollutant in the petroleum industry. In this study, machine learning coupled with SHAP (SHapley Additive exPlanations) was employed to predict the removal rate and interpret the resulting model. After collecting experimental data ... read more

Bi-level alignment with super-resolution head for unsupervised cephalometric landmark localization.