Artificial Intelligence Medical Compendium

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

Showing 67,361 to 67,370 of 232,702 articles

Bias, accuracy, and trust: no GenAI in peer reviewing.

Journal of neuroradiology = Journal de neuroradiologie
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Exploring shared diagnostic genes and molecular mechanisms in multiple sclerosis and psoriasis through bioinformatics analysis and machine learning.

Biochemical and biophysical research communications
BACKGROUND: Multiple sclerosis (MS) and psoriasis are both immune-mediated inflammatory diseases. Previous studies have reported comorbidity between MS and psoriasis, but the underlying mechanisms remain unclear. This study aims to elucidate the shar... read more 

Development of a stand-alone eHealth treatment: iCamperdown.

Journal of fluency disorders
PURPOSE: eHealth treatments have been developed for a range of conditions. They provide an accessible, cost-effective, and convenient model for clients and families to access treatment. The aim of this paper is to provide details and results of user ... read more 

Accuracy of fully automated iliac artery tortuosity measurements in patients with abdominal aortic aneurysm using deep learning.

European journal of radiology
OBJECTIVE: To externally validate the accuracy of deep learning-based iliac artery tortuosity assessment (PRAEVAorta 2, Bordeaux, France) in computed tomography angiography of patients with abdominal aortic aneurysms. DESIGN: Retrospective, multi-cen... read more 

Estimation of long term post mortem intervals by ATR-FTIR spectroscopy of weathered blow fly puparia.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Fourier transform infrared (FTIR) spectroscopy is often used in forensic science due to its ability to obtain a (bio-)chemical fingerprint of the sample. This method could also be used in forensic entomology to obtain additional information about emp... read more 

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

Food chemistry
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
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
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
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)
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