Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 18,911 to 18,920 of 214,544 articles
Recent Advances in the Development of CRISPR-Based Live-Cell Molecular Imaging and Sensing.
Molecular imaging and biology
May 13, 2026
Visualizing genome organization and transcriptional dynamics with spatial and temporal precision in living cells is essential for elucidating gene regulation and chromatin-associated disease mechanisms, yet conventional methods confront a fundamental... read more
Deep-Motion-Net: GNN-based volumetric liver shape reconstruction from single-view 2D projections.
International journal of computer assisted radiology and surgery
May 13, 2026
PURPOSE: Internal anatomical motion challenges precise radiation delivery during external beam radiotherapy. Estimating and compensating for anatomical motion are essential for improving planned dose delivery to target volumes while sparing organs-at... read more
The Asian Pacific Association of the Study of the Liver expert survey on artificial intelligence-assisted reporting of liver histopathology in metabolic dysfunction associated fatty liver disease.
Hepatology international
May 13, 2026
INTRODUCTION: Artificial intelligence (AI) and digital pathology have the potential to augment liver biopsy interpretation in MAFLD in clinical practice and trials assessment. However, attitudes and barriers to its implementation have not been system... read more
Decoding the role of chromatin context in the off-target effects of CRISPR gene editing with EGOLD.
Cell discovery
May 13, 2026
Despite the power of CRISPR in genome editing, its clinical application is limited by off-target effects; these effects are currently difficult to evaluate at the genome level but are likely to involve chromatin context. Here, we developed the Endoge... read more
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
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- Machine Learning 32655
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
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- IEEE transactions on neural networks and learning systems 927
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- Computer methods and programs in biomedicine 896