Artificial Intelligence Medical Compendium

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

Showing 46,801 to 46,810 of 224,199 articles

Machine learning analysis of s-EASIX for predicting 30-day mortality in sepsis patients from MIMIC-IV.

Scientific reports
Endothelial dysfunction is an important risk factor for the progression of sepsis. The simplified endothelial activation and stress index (s-EASIX) serves as an indirect measure of endothelial activation, whose dynamic changes have an unclear associa... read more 

FBXO6 mediated ubiquitination of SLC3A2 drives ferroptosis in ulcerative colitis: a machine learning and SHAP discovery.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory disease characterized by mucosal immune activation and epithelial barrier breakdown. The pathogenic mechanisms underlying UC remain incompletely understood, and identifying key molecular d... read more 

Prediction of recurrence and functional status in young ischemic stroke patients: Comparison of machine learning and traditional statistical methods.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
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Radiopharmaceuticals: Status, Regulatory Landscape and Future Perspective.

AAPS PharmSciTech
Radiopharmaceuticals are biologically active molecules labeled with radionuclides that have advanced the possibility of the nuclear medicine. They support non-invasive, high-resolution diagnostic imaging of molecular and physiological processes in vi... read more 

Multi-Objective Spray Drying Process Optimization via BBD-ANN-AGWO Framework: Case of Andrographolide Amorphous Solid Dispersions.

AAPS PharmSciTech
This study aims to establish a multi-objective spray drying process optimization framework, with andrographolide (ADG) amorphous solid dispersion serving as a model drug. The proposed framework integrates Box-Behnken design (BBD), artificial neural n... read more 

Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs.

Progress in orthodontics
OBJECTIVES: This study aimed to develop and compare two YOLOv12-based deep learning models-object detection and pose estimation-for the automatic classification of orthodontically induced external apical root resorption (OIEARR) using panoramic radio... read more