Artificial intelligence-based web application
Artificial intelligence-based web application has been studied in 1 paper since 2025: 1 observational study in people. The newest paper, Feb 5, 2025: “Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset”.
1 paper studies it2 findingsUpdated
- Humans1
What did studies of Artificial intelligence-based web application find?
2Studies of Artificial intelligence-based web application measured 2 outcomes; the most studied are segmentation accuracy (1 study) and classification accuracy (1).
Segmentation accuracy
upin silico1+92% accuracy
1 study
Segmentation accuracy
upin silico1+92% accuracy
Artificial intelligence-based web application increases segmentation accuracy in silico (92% accuracy).
“segmentation accuracy of 92% for muscle, subcutaneous fat, and visceral fat areas”
In silicosegmentation of muscle, subcutaneous fat, and visceral fat areas in classified L3 slices
BMC medical informatics and decision making
Classification accuracy
upin silico1+98% accuracy
1 study
Classification accuracy
upin silico1+98% accuracy
Artificial intelligence-based web application increases classification accuracy in silico (97.5% accuracy).
“The proposed system demonstrated high accuracy and precision, with an overall accuracy of 97.5% in classifying L3 slices”
In silicoclassification of L3 slices from abdominal computed tomography images
BMC medical informatics and decision making