Measuring the Accuracy of Artificial Intelligence Algorithms in the Identification of Anatomical Landmarks Through the Rastereography SPINE3D

• Published in: 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) pp. 523 - 528
• Main Authors: Taborri, Juri, Molinaro, Luca, Faperdue, Emanuele, Donati, Marco, Rossi, Stefano
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.10.2024
• Subjects: Accuracy; Artificial intelligence; Estimation; idiopathic scoliosis; Measurement uncertainty; Monitoring; Radiography; rasterstereography; Reliability; Reproducibility of results; Scoliosis; Uncertainty; validation

Rasterstereography represents a valid alternative as a screening tool for analyzing spinal anomalies, thanks to its numerous advantages over the invasiveness of radiological techniques. The validity and reliability of rasterstereography are still questioned, especially when considering the accuracy...