Enhanced CT imaging artificial neural network coronary artery calcification score assisted diagnosis

CONCLUSION: Regression risk evaluation algorithms could assist in categorizing cardiorespiratory individuals into distinct risk groups and conveniently personalize the treatments to the patient's circumstances. The models would be based on information gathered through CAC. On both 1 and 3-mm scanners, the automatic determination of a CAC value and cardiovascular events categorization that used a depth teaching approach was reliable and precise. The layer thickness of 0.5 mm on chest CT was slightly less accurate in CAC detection and risk evaluation.PMID:38427514 | DOI:10.3233/THC-231273
Source: Technology and Health Care - Category: Medical Devices Authors: Source Type: research