Automated identification and quantification of traumatic brain injury from CT scans: Are we there yet?
Atsuhiro HibiMajid JaberipourMichael D CusimanoAlexander BilbilyRahul G KrishnanRichard I AvivPascal N TyrrellPublished in: Medicine (2022)
We identified several important TBI-related CT findings that can be automatically identified and quantified with AI. A combination of these techniques may provide useful tools to enhance reproducibility of TBI identification and quantification by supporting radiologists and clinicians in their TBI assessments and reducing subjective human factors.
Keyphrases
- traumatic brain injury
- dual energy
- computed tomography
- contrast enhanced
- image quality
- artificial intelligence
- severe traumatic brain injury
- endothelial cells
- bioinformatics analysis
- machine learning
- positron emission tomography
- magnetic resonance imaging
- deep learning
- palliative care
- high throughput
- induced pluripotent stem cells
- pluripotent stem cells
- physical activity
- sleep quality
- depressive symptoms