Latest AI in Medicine Research | AI Medical Compendium

Showing 67,901 to 67,910 of 233,231 articles

Simultaneous formation and prediction of bound and free heterocyclic amines in roasted beef patties using integrated generalized kinetics and fusion machine learning.

Food chemistry Dec 16, 2025

The formation patterns of heterocyclic amines (HAs), carcinogens formed during meat cooking, in real food matrices remain incompletely understood. This study developed generalized kinetic and machine learning (ML) models to characterize bound and fre... read more

AI in Reproductive Medicine: Hope or Hype?

Clinical obstetrics and gynecology Dec 16, 2025

Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI), influencing nearly all aspects of assisted reproduction. Reported applications include ovarian stimulation, gamete and embryo assessment, endometri... read more

AI-Based Exhaled VOC Panels as Gut Microbiota-Derived Biomarkers for IBD Screening.

ACS sensors Dec 16, 2025

Inflammatory bowel diseases (IBD) present significant diagnostic and therapeutic challenges due to their heterogeneity. Here, we analyze exhaled volatile organic compounds (VOCs) from 244 individuals, uncovering distinct metabolic signatures associat... read more

NLRP1 as a Novel Pyroptosis Biomarker in Irreversible Pulpitis: A Laboratory Investigation and Animal Model Study.

International endodontic journal Dec 16, 2025

AIM: Irreversible pulpitis poses a significant clinical burden due to progressive inflammatory pulp damage. While inflammatory mechanisms are central to its pathogenesis, they remain incompletely characterised. This study aims to elucidate the role o... read more

AIMNet2-NSE: A Transferable Reactive Neural Network Potential for Open-Shell Chemistry.

Angewandte Chemie (International ed. in English) Dec 16, 2025

Open-shell systems such as radical intermediates are central to radical polymerization (RP), combustion, catalysis, and many other chemical and industrial processes, yet their accurate modeling presents significant computational challenges. Most of t... read more

Identification of Individualised Aspiration Mechanisms in Post-Stroke Dysphagia: A VFSS-Based Interpretable Machine Learning Approach.

Journal of oral rehabilitation Dec 16, 2025

BACKGROUND: Post-stroke dysphagia (PSD) significantly increases the risk of aspiration-related pneumonia. While prior studies have linked abnormal temporal coordination of swallowing motions to aspiration, limited efforts have been made to explore it... read more

Reimagining Surgical Documentation: Implementing Ambient Artificial Intelligence to Enhance Workflow, Reduce Burnout, and Improve Clinical Communication.

Plastic and reconstructive surgery Dec 16, 2025

Advancing mold identification in the routine laboratory, performance of smartphone-based imaging and a newly developed convolutional neural network.

Microbiology spectrum Dec 16, 2025

Mold identification in clinical diagnostics is traditionally labor-intensive and is dependent on expert interpretation. MoldVision is a deep-learning approach that uses smartphone images of mold cultures to automate identification. We analyzed 161 cl... read more

Editorial for "Deep Learning for Differentiating Benign From Malignant Bile Duct Dilation on MRCP: Development and Prospective Evaluation of an Xception-Logistic Regression Ensemble Model".

Journal of magnetic resonance imaging : JMRI Dec 16, 2025

Cerebral blood flow and modern approaches for clinical assessment & monitoring: a view to the future.

British journal of neurosurgery Dec 16, 2025

Cerebral blood flow (CBF) is under homeostatic control via cerebral autoregulation, maintaining a constant blood supply to brain parenchyma by integrating myogenic, metabolic, and neurogenic inputs across the neurovascular unit to stabilise perfusion... read more

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