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...

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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
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