Artificial intelligence's role in differentiating the origin for subretinal bleeding in pathologic myopia.
Emanuele CrincoliAndrea ServilloFiammetta CataniaRiccardo SacconiCecilia MularoniMarco BattistaLea QuerquesMariacristina ParravanoEliana CostanzoMaria Sole PolitoFrancesco BandelloFrancesca AmorosoPublished in: Retina (Philadelphia, Pa.) (2023)
Artificial intelligence helps identifying imaging biomarkers suggestive of CNV in the context of SH in myopia,improving human ability to perform differential diagnosis on unprocessed baseline OCT B-scan images. DL can accurately distinguish between the 2 causes of SH.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- optic nerve
- big data
- optical coherence tomography
- endothelial cells
- convolutional neural network
- high resolution
- computed tomography
- neoadjuvant chemotherapy
- atrial fibrillation
- induced pluripotent stem cells
- pluripotent stem cells
- diabetic retinopathy
- magnetic resonance imaging
- contrast enhanced
- magnetic resonance