Artificial intelligence using deep learning to predict the anatomical outcome of rhegmatogenous retinal detachment surgery: a pilot study
Timothy H. M. Fung, Neville C. R. A. John, Jean‐Yves Guillemaut, David Yorston, Dávid Fröhlich, David Steel, Tom H. Williamson, on behalf of the BEAVRS Retinal Detachment Outcomes Group, A G Casswell, Andrew H. Morris, Assad Jalil, Atiq Babar, Craig Goldsmith, David Steel, Diego Sanchez–Chicharro, E. D. Hughes, E N Herbert, Huw Jenkins, Imran Khan, John Ellis, Jonathan Smith, Kamaljit S. Balaggan, Kurt Spiteri Cornish, Laura Wakeley, Mark Costen, Sonali Tarafdar, Stephen Charles, Stephen Winder, Timothy Cochrane, Tsveta Ivanova, Vasileios T. Papastavrou, Vaughan Tanner, David Yorston, D A H Laidlaw, Tom H. Williamson
Topics & Concepts
Deep learningMedicineConvolutional neural networkArtificial intelligenceOutcome (game theory)Retinal detachmentVitrectomySurgeryComputer scienceOphthalmologyRetinalVisual acuityMathematicsMathematical economicsRetinal and Macular SurgeryRetinal Imaging and AnalysisSoft Robotics and Applications