Artificial Intelligence Medical Compendium

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

Showing 64,701 to 64,710 of 231,605 articles

Oral-Rinse-Sourced Microbiota in Oral Health and Diseases in a Representative US Adult Population: Implications for Diagnostics.

Journal of clinical periodontology
AIMS: To investigate the associations between oral-rinse microbiota and distinct oral conditions, and further evaluate its potential ability to distinguish periodontitis severity. METHODS: Oral-rinse-sourced microbiota with 16S ribosomal RNA sequenci... read more 

Plasma proteomics biomarkers for predicting anti-tuberculosis drug-induced liver injury: A comprehensive assessment.

British journal of clinical pharmacology
AIMS: This study aims to identify predictive plasma protein biomarkers for anti-tuberculosis drug-induced liver injury (ATB-DILI) and develop machine learning models for pre-treatment risk stratification. METHODS: In this retrospective nested case-co... read more 

Development of a cloud-based estimator for analysing the disc-fovea angle in fundus images using a stacking ensemble model.

BMJ open ophthalmology
PURPOSE: To develop a cloud-based software for analysing the disc-fovea angle (DFA) in fundus images using the stacking ensemble model and to evaluate the accuracy of the objective DFA assessment between automatic and manual analyses. METHODS: A tota... read more 

Short-TR Acquisition Time-of-flight MR Angiography with Deep Learning Reconstruction: Technical Feasibility and Initial Clinical Evaluation in Moyamoya Disease.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
PURPOSE: To develop and evaluate short-TR acquisition time-of-flight (STRA-TOF) MR angiography (MRA), which combines an optimized STRA with deep learning-based reconstruction to achieve scan-time reduction while maintaining image quality in the visua... read more 

Neurology of social graces in patients with language deficits.

Journal of neurology, neurosurgery, and psychiatry
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Machine learning reveals country-specific drivers of global cancer outcomes.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Global inequities in access to cancer diagnostics and treatment contribute to wide variation in cancer mortality-to-incidence ratios (MIRs), a proxy for survival. We aimed to develop an interpretable machine learning framework to quantify... read more 

Deep learning-based restoration of PET images from a dual-panel breast dedicated scanner.

Zeitschrift fur medizinische Physik
Positron Emission Tomography (PET) is important for breast cancer diagnosis and monitoring, but high costs restrict access. Dual-panel scanners can reduce costs, though they typically produce lower quality images with quantitative bias compared to fu... read more 

Transforming jet flavour tagging at ATLAS.

Nature communications
Jet flavour tagging enables the identification of jets originating from heavy-flavour quarks in proton-proton collisions at the Large Hadron Collider, playing a critical role in its physics programmes. This paper presents GN2, a transformer-based fla... read more 

Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma.

Nature communications
Medullary thyroid carcinoma (MTC) is a rare, aggressive neuroendocrine tumor with limited treatment options and frequent recurrence. Comprehensive recurrence risk stratification remains lacking. Here, we profile 482 MTC samples from 452 patients acro... read more