CatSkill: Artificial Intelligence-Based Metrics for the Assessment of Surgical Skill Level from Intraoperative Cataract Surgery Video Recordings.

Journal: Ophthalmology science
Published Date:

Abstract

PURPOSE: To develop and validate a novel artificial intelligence (AI)-powered video analysis system to assess surgeon proficiency in maintaining (1) eye neutrality, (2) eye centration, and (3) adequate focus of the operating microscope in cataract surgery and evaluate differences in these metrics between attending cataract surgeons and ophthalmology residents.

Authors

  • Binh Duong Giap
  • Dena Ballouz
    Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Karthik Srinivasan
    McGovern Institute for Brain Research, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, Massachusetts 02139, USA.
  • Jefferson Lustre
    Department of Ophthalmology & Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Keely Likosky
  • Ossama Mahmoud
    Department of Computer Sciences, Western University, London, ON, N6A 3K7, Canada.
  • Shahzad I Mian
    Department of Ophthalmology & Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Bradford L Tannen
    Department of Ophthalmology & Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Nambi Nallasamy
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.

Keywords

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