Artificial Intelligence Medical Compendium

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

Showing 19,651 to 19,660 of 215,899 articles

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

Journal of the National Medical Association
The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy... read more 

A hierarchical transformer-graph framework for explainable student engagement estimation in E-learning videos.

Scientific reports
The importance of understanding student engagement in learning with AI technologies is particularly relevant for the case of adaptive learning. Most current vision-based methods rely solely on appearance-based emotion detection using facial expressio... read more 

Development and validation of a deep learning model for liver shear stiffness regression using abdominal multiparametric MRI across multiple sites and vendors.

European radiology
OBJECTIVE: Liver stiffness measurement is important for assessing chronic liver disease (CLD). MR elastography (MRE) requires specialized hardware and expertise. Non-invasive deep learning (DL) models using multiparametric abdominal MRI may provide a... read more 

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

NPJ digital medicine
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 modelĀ on CBCT scans.

Clinical oral investigations
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
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
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
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
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