Artificial intelligence applications in ophthalmic surgery.

Current opinion in ophthalmology 2024 Vol.35(6) p. 526-532

Leiderman YI, Gerber MJ, Hubschman JP, Yi D

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Abstract

[PURPOSE OF REVIEW] Technologies in healthcare incorporating artificial intelligence tools are experiencing rapid growth in static-image-based applications such as diagnostic imaging. Given the proliferation of artificial intelligence (AI)-technologies created for video-based imaging, ophthalmic microsurgery is likely to experience significant benefits from the application of emerging technologies to multiple facets of the care of the surgical patient.

[RECENT FINDINGS] Proof-of-concept research and early phase clinical trials are in progress for AI-based surgical technologies that aim to provide preoperative planning and decision support, intraoperative image enhancement, surgical guidance, surgical decision-making support, tactical assistive technologies, enhanced surgical training and assessment of trainee progress, and semi-autonomous tool control or autonomous elements of surgical procedures.

[SUMMARY] The proliferation of AI-based technologies in static imaging in clinical ophthalmology, continued refinement of AI tools designed for video-based applications, and development of AI-based digital tools in allied surgical fields suggest that ophthalmic surgery is poised for the integration of AI into our microsurgical paradigm.

추출된 의학 개체 (NER)

유형영어 표현한국어 / 풀이UMLS CUI출처등장
시술 microsurgery 미세수술 dict 1
약물 [PURPOSE OF REVIEW] Technologies scispacy 1
기타 patient scispacy 1

MeSH Terms

Humans; Artificial Intelligence; Ophthalmologic Surgical Procedures; Surgery, Computer-Assisted; Microsurgery; Eye Diseases; Ophthalmology

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