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Artificial intelligence applications in ophthalmic surgery.

Yannek I Leiderman1, Matthew J Gerber2, Jean-Pierre Hubschman2

  • 1Departments of Ophthalmology and Bioengineering, University of Illinois Chicago.

Current Opinion in Ophthalmology
|August 15, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is rapidly advancing in healthcare, particularly in ophthalmic microsurgery. Emerging AI technologies promise to enhance surgical planning, guidance, and training, improving patient care.

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Area of Science:

  • Ophthalmology
  • Surgical Technology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) tools are rapidly growing in healthcare, especially for static-image analysis in diagnostic imaging.
  • The development of AI for video-based imaging presents significant opportunities for ophthalmic microsurgery.
  • AI applications can benefit multiple aspects of surgical patient care.

Purpose of the Study:

  • To review the potential benefits and applications of artificial intelligence (AI) in ophthalmic microsurgery.
  • To highlight the impact of emerging AI technologies on surgical patient care.
  • To discuss the integration of AI into the ophthalmic microsurgical paradigm.

Main Methods:

  • Review of proof-of-concept research and early-phase clinical trials for AI-based surgical technologies.
  • Analysis of AI applications in static and video-based imaging.
  • Examination of AI tool development in allied surgical fields.

Main Results:

  • AI-based technologies are being developed for preoperative planning, decision support, and intraoperative image enhancement.
  • AI offers potential for surgical guidance, tactical assistance, and enhanced surgical training.
  • Research is exploring semi-autonomous and autonomous control elements in surgical procedures.

Conclusions:

  • The increasing use of AI in ophthalmic imaging and allied surgical fields indicates a readiness for AI integration in ophthalmic microsurgery.
  • AI technologies are poised to significantly benefit ophthalmic microsurgery.
  • The refinement of AI tools for video-based applications will further drive adoption in surgical settings.