Machine learning reveals genetic biomarkers to predict perforated appendicitis in children
Announcement of genetic biomarker for pediatric appendicitis A recent groundbreaking study utilized machine learning to identify genetic biomarkers that can predict perforated appendicitis (PA) in children. Appendicitis is a common pediatric disease that requires urgent surgical intervention, and timely and accurate diagnosis has always been a challenge, especially in the case of perforation. PA has […]
Deep learning helps classify acute appendicitis on pelvic CT
A combined deep learning and radiomics model helps clinicians distinguish between the complex and the simple Acute appendicitis (AA) Researchers discovered this using pelvic CT. The study results may help clinicians better decide whether appendicitis patients can be managed non-surgically, said Dan Liang of the First Affiliated Hospital of Jinan University in Guangzhou, Guangdong Province, […]