Artificial Intelligence Medical Compendium

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

Showing 39,941 to 39,950 of 223,737 articles

Harnessing exhaled breath for lung cancer early detection, results from the ExPeL study

medRxiv
Background Scalable, non invasive tools are critically needed to improve early lung cancer detection and optimize primary care referral pathways. We evaluated Inflammacheck, a point-of-care device utilizing exhaled breath condensate (EBC) H2O2 and ph... read more 

CorvisST biomechanical indices in the diagnosis of corneal stromal and endothelial disorders: an artificial intelligence-based comparative study.

The British journal of ophthalmology
AIMS: To analyse the value of the CorvisST indices in diagnosing corneal stromal and endothelial disorders (CSEDs). METHODS: This institutional retrospective case-control study included 903 eyes with a CSED and 597 normal eyes (controls), assessed wi... read more 

Are we ready for AI-augmented generalists?

BMJ evidence-based medicine
Artificial Intelligence (AI) is reshaping medical practice and education by unifying the knowledge of medical specialties and subspecialties into a single, intelligent system. This system functions not only as an integrated knowledge base but also as... read more 

Evaluating the accuracy of screening titles and abstracts for progressing to full-text screening by one vs two independent reviewers: part 1 of a meta-research study of rapid review methodological trade-offs.

Journal of clinical epidemiology
OBJECTIVES: To determine the accuracy for progressing records to full-text screening using one vs two reviewers to screen title and abstracts in 3 reviews of the effectiveness of interventions for chronic primary low back pain. Secondary objectives i... read more 

TAPSeg: An Open-Source Deep Learning Tool for Instance-Level Tooth and Pulp Segmentation in CBCT.

Journal of dentistry
OBJECTIVES: To develop an open-source one-tap CBCT automatic segmentation tool based on deep learning to perform integrated segmentation and reconstruction of teeth and pulp in the 3D Slicer software and verify its generalization ability on multiple ... read more 

Beyond fluorescence: A critical look at AI-powered brightfield analysis for T-cell killing assays.

SLAS discovery : advancing life sciences R & D
This comment evaluates dela Cruz-Chuh et al.'s AI-based label-free workflow for analyzing T-cell mediated tumor killing via brightfield imaging. The study's core strengths include eliminating fluorescent labeling artifacts, achieving comparable consi... read more 

Hippocampal subfields volumes as biomarkers for early diagnosis of asymptomatic manganese overexposure.

NeuroImage
Chronic occupational manganese (Mn) overexposure is associated with motor and cognitive deficits, but its effects on hippocampal subfields remain underexplored. Although neurodegeneration is known to involve the hippocampus, subfield-specific structu... read more 

Early detection of ampicillin susceptibility in Enterococcus faecium with MALDI-TOF MS and machine learning.

Journal of global antimicrobial resistance
BACKGROUND: Enterococcus faecium can cause severe infections and is often resistant to the first-line antibiotic ampicillin. Consequently, clinicians usually prescribe broad-spectrum antibiotics, promoting the selection of multidrug-resistant bacteri... read more 

Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases.

Advances in medical sciences
PURPOSE: The development of digital technologies and artificial intelligence (AI) in healthcare has highlighted the need for patients to improve digital competencies such as e-Health literacy (eHL) and AI literacy (AIL). However, these skills remain ... read more 

HOW GENETICS CHANGED OR WILL CHANGE THE THERAPY IN THYROID NODULES WITH INDETERMINATE CYTOLOGY.

Annales d'endocrinologie
The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of increasingly sensitive imaging techniques that have enhanced the detection of thyroid nodules. Fine-needle aspiration cytology remains the diagnostic go... read more