Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 19,661 to 19,670 of 215,899 articles
Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.
Nature communications
May 13, 2026
Plasma metabolomics offers significant potential for non-invasive biomarker discovery in gastric cancer (GC), yet conventional analytical workflows face challenges in absolute quantification and biological interpretability, hindering clinical transla... read more
Clinically-applicable prediction of hospital stay and patient similarity retrieval in paediatric cardiology using machine learning.
Nature communications
May 13, 2026
Paediatric cardiology presents challenges due to the rarity and complexity of conditions like congenital heart disease. Using retrospective electronic healthcare records from 1,522 Great Ormond Street Hospital cases, we benchmark machine learning mod... read more
Multiscale machine learning molecular mechanics for mechanism and stereoselectivity of Diels-Alderase catalysis.
Nature communications
May 13, 2026
Enzymes catalyze complex chemical transformations with remarkable efficiency and selectivity, yet their atomistic mechanisms remain challenging to capture because conventional simulations trade accuracy for efficiency. Here we introduce a reactive ma... read more
A deep learning ECG model for identification and localization of occlusion myocardial infarction.
Nature communications
May 13, 2026
Rapid identification and localization of an acute coronary occlusion are vital to prevent myocardial damage, yet reliance on ST-segment ECG criteria misses many acute occlusion myocardial infarctions (OMI) and triggers unnecessary acute angiographies... read more
Personalized machine learning-guided radiation dose escalation in newly diagnosed glioblastoma: prospective pilot study.
Nature communications
May 13, 2026
Glioblastoma is a highly aggressive primary brain tumor with near-universal recurrence despite maximal safe resection followed by standard chemoradiation. We conducted a prospective pilot study (ClinicalTrials.gov identifier: NCT03477513) with predef... read more
YOLO-LS: a novel deep learning framework for brain tumor segmentation in Magnetic Resonance Imaging.
Scientific reports
May 13, 2026
Brain tumors exhibit high heterogeneity in morphology, texture, and location, making accurate recognition and segmentation critical for clinical diagnosis, surgical planning, and prognosis evaluation. However, manual annotation of MRI scans is hinder... read more
ChatGPT as a tool for reviewing multiple-choice questions in the health sector.
Scientific reports
May 13, 2026
Artificial Intelligence (AI), particularly ChatGPT-4, offers promising applications in medical education, including multiple-choice question (MCQ) development. This study aimed to evaluate and compare the quality of 36 MCQs created by medical faculty... read more
Faculty perceptions of AI for personalized instruction and learning facilitation in higher education.
Scientific reports
May 13, 2026
This study examines university faculty members' perceptions of how artificial intelligence (AI) supports personalized instruction and facilitates learning opportunities in higher education. Given the exploratory nature of AI-based pedagogical practic... read more
MultiDentNet: a unified deep learning framework for multi-class dental condition screening and preliminary oral lesion triage.
Scientific reports
May 13, 2026
To develop and evaluate MultiDentNet, a unified deep learning framework for multi-class dental condition screening and preliminary risk stratification of cancer-suspicious oral lesions, utilizing backbone-diverse ensembling and inter-class relational... read more
Integrating fuzzy logic and neural networks with multi-criteria decision-making for intelligent evaluation of drug compound design attributes.
Scientific reports
May 13, 2026
This study proposes a fuzzy machine learning framework for optimizing antiepileptic drug selection using Quantitative Structure-Property Relationship (QSPR) modeling under pharmacological uncertainty. Feature relevance was assessed using Random Fores... read more
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