Artificial intelligence and ophthalmic surgery.

Journal: Current opinion in ophthalmology

Published Date: Sep 1, 2021

Abstract

PURPOSE OF REVIEW: Artificial intelligence and deep learning have become important tools in extracting data from ophthalmic surgery to evaluate, teach, and aid the surgeon in all phases of surgical management. The purpose of this review is to highlight the ever-increasing intersection of computer vision, machine learning, and ophthalmic microsurgery.

Authors

Kapil Mishra

Department of Ophthalmology, Byers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, California, USA.
Theodore Leng

Department of Ophthalmology, Byers Eye Institute at Stanford, Palo Alto, CA, USA.

Keywords

Algorithms Artificial Intelligence Clinical Competence Deep Learning Humans Machine Learning Microsurgery Ophthalmologic Surgical Procedures Robotic Surgical Procedures

External Resources

View on PubMed Access via DOI PubMed (34397576)

Artificial intelligence and ophthalmic surgery.

Abstract

Authors

Keywords

External Resources

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