Validating the Accuracy of a Patient-Facing Clinical Decision Support System in Predicting Lumbar Disc Herniation: Diagnostic Accuracy Study.

ABSTRACT:

Background

Low back pain (LBP) is a major cause of disability globally, and the diagnosis of LBP is challenging for clinicians.

Objective

Using new software called Therapha, this study aimed to assess the accuracy level of artificial intelligence as a Clinical Decision Support System (CDSS) compared to MRI in predicting lumbar disc herniated patients.

Methods

One hundred low back pain patients aged ≥18 years old were included in the study. The study was conducted in three stages. Firstly, a case series was conducted by matching MRI and Therapha diagnosis for 10 patients. Subsequently, Delphi methodology was employed to establish a clinical consensus. Finally, to determine the accuracy of the newly developed software, a cross-sectional study was undertaken involving 10

SUBMITTER: Badahman F 

PROVIDER: S-EPMC11394625 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature