Artificial Intelligence Medical Compendium

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

Showing 48,591 to 48,600 of 224,513 articles

Artificial intelligence differentiates prefibrotic primary myelofibrosis with thrombocytosis from essential thrombocythemia using digitized bone marrow biopsy images.

Leukemia
Prefibrotic primary myelofibrosis (prePMF) and essential thrombocythemia (ET) are distinct myeloproliferative neoplasms (MPNs) with overlapping clinical features, often leading to diagnostic uncertainty. We developed an artificial intelligence (AI) f... read more 

Intelligent tool wear monitoring using XGBoost, SVR, and DNN models in NMQL environment.

Scientific reports
This study explores the implementation of artificial intelligence (AI)-based predictive frameworks for the precise evaluation of tool wear in the sustainable machining of Hastelloy X using PVD TiAlN-coated carbide inserts. To improve lubrication effe... read more 

Identification of a Potential Biomarker PDGFRA for Endometriosis Based on Comprehensive Analysis of Multiple Omics Data.

Reproductive sciences (Thousand Oaks, Calif.)
Endometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with some theories proposing that the disease is caused by the interaction of endocrine, immune, and geneti... read more 

Higher artificial intelligence-ECG atrial fibrillation prediction model output and estimated physiologic aging predict higher risk of adverse vascular events in patients with migraine.

Headache
OBJECTIVE: To investigate the ability of artificial intelligence-enabled electrocardiogram (AI-ECG) atrial fibrillation (AF) prediction model output and delta age, defined as AI-estimated age minus chronological age, to predict adverse vascular outco... read more 

A deep learning-based computer-aided determination method for dominant follicle identification and antral follicle count in pelvic MRI images.

Biomedical engineering online
OBJECT: To develop and evaluate a multi-stage computer-aided determination (CAD) method for automated antral follicle count (AFC) and dominant follicle identification using pelvic magnetic resonance imaging (MRI), aiming to overcome the limitations o... read more 

Expanding access to cerebrovascular imaging with routine MRI for pre-surgical assessment of intracranial tumor patients: an AI model development and multi-center validation study.

BMC medicine
BACKGROUND: Angiography is the gold standard for assessing the relationship between cerebral arteries and intracranial tumors, but its use is limited in low- and middle-income countries for various reasons. Contrast-enhanced T1-weighted MRI (T1C) is ... read more 

PROTAC-Splitter: a machine learning framework for automated identification of PROTAC substructures.

Journal of cheminformatics
Proteolysis-targeting chimeras (PROTACs) are heterobifunctional molecules composed of an E3 ligase ligand, a linker, and a warhead targeting a protein of interest. Despite their modular structure, accurately identifying and annotating these component... read more