Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and meta-analysis.
Roger Compte BoixaderIsabelle Granville SmithAmanda IsaacNathan P DanckertTerence McSweeneyPanagiotis LiantisFrances M K WilliamsPublished in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2023)
This review highlights several shortcomings of current approaches, including few validation attempts or use of large sample sizes. To the best of the authors' knowledge, this is the first systematic review to explore this topic. We suggest the utilization of deep learning coupled with semi- or unsupervised learning approaches. Use of all information contained in MRI data will improve accuracy. Clear and complete reporting of study design, statistics and results will improve the reliability and quality of published literature.
Keyphrases
- machine learning
- systematic review
- deep learning
- big data
- meta analyses
- artificial intelligence
- magnetic resonance imaging
- healthcare
- contrast enhanced
- convolutional neural network
- electronic health record
- emergency department
- health information
- magnetic resonance
- randomized controlled trial
- social media
- drug induced