Artificial Intelligence Medical Compendium

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

Showing 20,251 to 20,260 of 215,962 articles

Robot-assisted lumbar facet joint infiltration improves accuracy and reduces radiation exposure compared to the manual technique in a comparative phantom study.

Scientific reports
Compact robotic systems offer new opportunities for spinal procedures outside the operating room, but their potential for small-scale interventions such as facet joint infiltrations remains underexplored. The objective of this study was to assess the... read more 

Cross-cancer homologous recombination deficiency prediction from whole slide images using transfer learning.

Scientific reports
Accurate prediction of Homologous Recombination Deficiency (HRD) is vital for personalized cancer therapy, yet genomic assays are often costly and complex. Predicting HRD from Hematoxylin and Eosin (H&E) stained whole-slide images (WSIs) via deep lea... read more 

What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education.

NPJ digital medicine
Artificial intelligence (AI) is rapidly reshaping healthcare and the competencies expected of graduating medical students, yet AI curricula and competency recommendations for undergraduate medical education (UME) remain fragmented. We conducted a PRI... read more 

Development and validation of a digital biomarker for peripheral artery disease.

NPJ digital medicine
Peripheral artery disease (PAD) is a common manifestation of atherosclerotic cardiovascular disease (ASCVD) that is underdiagnosed in clinical practice. Photoplethysmography (PPG) serves as a widely available tool that captures peripheral vascular ph... read more 

Hybrid vision-IMU deep learning framework with graph convolutional networks and attention for personalized yoga posture identification.

Scientific reports
Asanas, are very crucial for maintaining humans physical and mental health in an efficient manner. Digital training platforms, fitness monitors, and medical applications depend on accurate yoga posture detection. Conventional vision-based posture ide... read more 

Deep learning-based automatic assessment of aesthetic expression in english writing: A multi-task learning approach with cross-cultural validation.

Scientific reports
Although AES systems have made significant progress in evaluating such surface-level linguistic features as grammar, vocabulary, and text structure, the systematic assessment of aesthetic expression in writing is still a significant research gap due ... read more 

PASTEC: an open clinical infrastructure for data aggregation and prospective validation of AI in cardiac remote monitoring.

NPJ digital medicine
Remote monitoring (RM) of cardiac implantable electronic devices generates large volumes of data that must be reviewed using vendor-specific platforms, creating a growing clinical workload. Although artificial intelligence (AI) could alleviate this b... read more 

A federated learning-benchmarking framework for privacy-preserving UAV intrusion detection using adaptive aggregation algorithms.

Scientific reports
The recent explosive growth of Unmanned Aerial Vehicles (UAVs) has contributed to their high vulnerability to cyber-attacks including Denial of Service (DoS), identity impersonation and unauthorized access to data. The UAV networks have the inherent ... read more 

Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models.

Scientific reports
Accurate identification of Allium seed genotypes is essential for cultivar authentication, breeding, and fraud prevention, yet remains challenging due to morphological similarities. This study evaluates the potential of a visible and near-infrared (V... read more 

A deep complementary learning framework for surface water temperature forecasting.

Scientific reports
Water temperature plays a pivotal role in shaping riverine ecosystems, exerting significant influence on a range of water quality parameters. However, accurately forecasting multi-temporal daily data remains challenging due to the non-stationary and ... read more