AI Medical Compendium

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

Reproductive sciences (Thousand Oaks, Calif.) Feb 20, 2026

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 Feb 20, 2026

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

Interpretable machine learning for predicting in-hospital bleeding after PCI in patients with diabetes and acute coronary syndrome: a retrospective cohort study.

BMC cardiovascular disorders Feb 20, 2026

Prediction of immune checkpoint inhibitor-related pneumonitis in lung cancer: development and validation of multiple machine learning models.

BMC cancer Feb 20, 2026

From data to decisions: a modular platform for modelling and simulation of infectious disease diffusion in networks.

BMC medical informatics and decision making Feb 20, 2026

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

Biomedical engineering online Feb 20, 2026

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 Feb 20, 2026

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 Feb 20, 2026

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

Multimodal ultrasound and artificial intelligence for characterization of thyroid nodules in Hashimoto's thyroiditis: current challenges and future perspectives.

European journal of medical research Feb 20, 2026

Patients with Hashimoto's thyroiditis (HT) frequently present with concurrent nodular lesions such as nodular goiter and thyroid cancer (especially papillary thyroid carcinoma, PTC), and their risk of PTC is significantly higher than that of non-HT i... read more

Polypharmacology Browser PPB3: A Web-Based Deep Learning Tool for Target Prediction Using ChEMBL Data.

Journal of chemical information and modeling Feb 20, 2026

Drug-like molecules often interact with multiple biological targets. Assessing this polypharmacology is essential for drug development. Here, we trained deep neural networks to associate bioactive molecules up to 80 non-hydrogen atoms reported in ChE... read more

Artificial Intelligence Medical Compendium