1 min read

ID: 1043242

Short Link: https://gregory-ms.com/articles/1043242/

Discovery Date: 28 October 2022, 05:10:12 UTC

Published Date: 2022-10-27 10:00:00

Source: PubMed

Link: https://pubmed.ncbi.nlm.nih.gov/36303065/?fc=20210216052009&ff=20221028011010&v=2.17.8

Manual Selection: none

Machine Learning Gaussian Naive Bayes Model: true

Abstract

CONCLUSION: Overall, AI models can further improve our diagnostic practice in MS patients. Our results indicate that the use of AI can aid the clinicians in accurate diagnosis of MS and improve current diagnostic approaches as most of the parameters including accuracy, sensitivity, specificity, precision, and AUC were considerably high, especially when using MRI data.

Noun Phrases in Title

  • Diagnostic performance
  • artificial intelligence
  • multiple sclerosis
  • a systematic review
  • meta-analysis
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