Artificial Intelligence Medical Compendium

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

Showing 68,581 to 68,590 of 233,540 articles

Mri-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone.

Journal of bone oncology
PURPOSE: This study aims to explore the feasibility of MRI-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone (GCTB). MATERIAL AND METHODS: A retrospective study was performe... read more 

Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis.

European journal of radiology open
BACKGROUND: Accurate assessment of right ventricular (RV) size and function is critical for managing cardiac diseases but is challenged by the limitations of traditional echocardiography. Artificial intelligence (AI) models offer potential for improv... read more 

Using, misusing, and improving online machine learning-based meta-analysis of neuroimaging published data: A perspective on NeuroQuery.

Neuroimage. Reports
Online, text-based meta-analysis tools for large databases represent a new digital advance for medical, health, and neuroscience research, among other fields. NeuroQuery is an instance of such a tool for neuroimaging research; it employs supervised m... read more 

AI-powered intestinal ultrasound in inflammatory bowel disease: Advancing toward automated disease assessment.

Current opinion in pharmacology
The management of inflammatory bowel disease (IBD) relies on accurate disease assessment and close monitoring to guide therapy and evaluate treatment response. While endoscopy remains the gold standard for detecting mucosal inflammation, its invasive... read more 

In vitro blood flow dataset in circular microchannels: High-speed videomicroscopy, micro-piv, and cell-free layer measurements.

Data in brief
This dataset provides micro-particle image velocimetry (µPIV) and high-speed imaging of red blood cell (RBC) suspensions flowing through circular glass microchannels with inner diameters of 25 µm and 50 µm. Suspensions were prepared in phosphate-buff... read more 

Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (RPGR) from Image Analysis Using Artificial Intelligence.

Ophthalmology science
PURPOSE: To develop an efficient approach to estimating visual field (VF) in patients with X-linked retinitis pigmentosa (RP) based on macular OCT scans. DESIGN: Retrospective analysis of patients who were enrolled in a natural history study at Moorf... read more 

AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques.

Global epidemiology
Alzheimer's disease (AD) is a degenerative neurological disease that progresses over time, making early detection crucial for effective intervention and better patient prognosis. Traditional diagnostic methods such as cognitive assessments, neuroimag... read more 

"RaagaDhvani: A novel augmented multi-feature dataset: Advancing emotion recognition in Carnatic music with multimodal features and hybrid deep learning".

Data in brief
Carnatic music, a major form of South Indian classical tradition, offers rich potential for computational and musicological research. While datasets like CompMusic Carnatic Corpus, GTZAN, RAVDESS, IEMOCAP, EMODB, SAVEE, Saraga, and CMDB have advanced... read more 

Prediction of Postherpetic Neuralgia in Patients with Acute and Subacute Herpetic Neuralgia Using Structural Magnetic Resonance Imaging: A Retrospective Study.

Pain and therapy
INTRODUCTION: This study integrated structural magnetic resonance imaging (sMRI) of the brain with clinical characteristics to identify the "vulnerable brain regions" and risk factors associated with the development of postherpetic neuralgia (PHN) in... read more