Artificial Intelligence Medical Compendium

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

Showing 19,251 to 19,260 of 214,800 articles

Dataset effects outweigh algorithmic effects in determining fairness of healthcare machine learning.

NPJ digital medicine May 13, 2026
Ensuring fairness in clinical machine learning is a major concern, yet the dominant driver of unequal performance across sex groups remains unclear: is it the dataset or the algorithm. We conducted a systematic fairness evaluation across three health... read more 

Evaluating upper airway in orthodontics via 3D UX-Net model on CBCT scans.

Clinical oral investigations May 13, 2026
INTRODUCTION AND AIMS: The relationship between orthodontic treatment and upper airway morphology is increasingly recognized. Artificial intelligence (AI) now supports airway analysis, but traditional 3D U-Net models show limited accuracy, particular... read more 

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 
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