$Artificial intelligence in risk prediction and diagnosis of vertebral fractures$

Artificial intelligence in risk prediction and diagnosis of vertebral fractures

Abstract With the increasing prevalence of vertebral fractures, accurate diagnosis and prognostication are essential. This study assesses the effectiveness of AI in diagnosing and predicting vertebral fractures through a systematic review and meta-analysis. A comprehensive search across major databa...

Full description

Saved in:

Bibliographic Details
Main Authors:	Srikar R. Namireddy, Saran S. Gill, Amaan Peerbhai, Abith G. Kamath, Daniele S. C. Ramsay, Hariharan Subbiah Ponniah, Ahmed Salih, Dragan Jankovic, Darius Kalasauskas, Jonathan Neuhoff, Andreas Kramer, Salvatore Russo, Santhosh G. Thavarajasingam
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-12-01
Series:	Scientific Reports
Subjects:	Artificial intelligence Machine learning Osteoporotic vertebral fractures Non-pathological vertebral fractures Vertebral compression fractures ML
Online Access:	https://doi.org/10.1038/s41598-024-75628-2
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Artificial intelligence in risk prediction and diagnosis of vertebral fractures

Similar Items