Artificial Intelligence Medical Compendium

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

Showing 19,211 to 19,220 of 214,800 articles

Integrative bioinformatic analysis prioritizes TIMP1 and FN1 as angiogenesis-related candidate genes in diabetic foot ulcers.

PloS one May 13, 2026
BACKGROUND: Diabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound healing, accompanied by defective angiogenesis, chronic inflammation, and dysregulated extracellular m... read more 

Decoding (digital) histopathology: The building blocks for computational researchers.

PLOS digital health May 13, 2026
Computational Pathology is a novel discipline at the intersection of pathology and computer science, driven by the recent advances in machine learning and image analysis. Nevertheless, combining the insights from both disciplines remains challenging,... read more 

Deep-learning time-series anomaly detection of acute kidney injury from creatinine-eGFR trajectories in the ICU.

PLOS digital health May 13, 2026
Acute kidney injury (AKI) is common in the intensive care unit (ICU), and fixed creatinine thresholds may miss clinically relevant dynamics. We tested whether a deep-learning anomaly signal from short creatinine-estimated glomerular filtration rate (... read more 

Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning.

PloS one May 13, 2026
This study provides a comprehensive evaluation and classification of 35 soft decision-making (SDM) algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices). Although fpfs-matrices offer a strong mathematical framework for modeling ... read more 

Deep Learning-Assisted Nanomechanical Evaluation of Replicative Senescence in Human Umbilical Cord Mesenchymal Stem Cells.

Langmuir : the ACS journal of surfaces and colloids May 13, 2026
The replicative senescence during in vitro expansion severely limits the clinical application of human umbilical cord mesenchymal stem cells (hUC-MSCs). Existing senescence assessment methods still face significant limitations in terms of noninvasive... read more 

Speed and quality of complex strategic decisions.

Proceedings of the National Academy of Sciences of the United States of America May 13, 2026
Many strategic decisions involve both substantial complexity and time pressure, but the association between decision speed and decision quality of cognitively demanding strategic decisions is not well understood. This paper presents evidence on this ... read more 

Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in nonequilibrium systems.

Proceedings of the National Academy of Sciences of the United States of America May 13, 2026
Multiscale systems are ubiquitous in science and technology, but are notoriously challenging to simulate as short spatiotemporal scales must be appropriately linked to emergent bulk physics. When expensive high-dimensional dynamical systems are coars... read more 

Analyzing the performance of deep learning splice prediction algorithms.

PloS one May 13, 2026
SpliceAI is the leading tool for predicting splice-altering variants, but restrictive licensing limits clinical adoption. While open-source implementations have been published with author-reported comparisons, independent benchmarking across diverse ... read more 

Wireless, skin-interfaced multimodal sensing system for continuous psychophysiological monitoring-A wearable polygraph device.

Science advances May 13, 2026
Accurate, continuous monitoring of psychophysiological states is central to understanding stress and autonomic dysfunction across diverse medical contexts. Current approaches such as polygraphy and polysomnography rely on cumbersome, wired sensors th... read more 

Magnetic medical microrobots with memory-capable genetic circuits.

Science advances May 13, 2026
Autonomous microrobots can reach hard-to-access regions in the human body for minimally invasive therapy. However, their microscale size limits the integration of on-board memory, making their operation dependent on external controls. Here, we develo... read more 
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