Surgeons continuously learn throughout their career, and structured resources to support their learning can assure equitable care for all patients. Even in the case of cataract surgery, the most common surgical procedure worldwide, patient outcomes improve with surgeons’ experience. We develop methods for artificial intelligence (AI)-driven video analysis that provide surgeons with unbiased skill assessments and personalized feedback. Current methods for surgical video analysis include segmenting steps in procedures, detection of surgical instruments in video images, and assessment of skill in capsulorhexis, a key step in cataract surgery. We will discuss methods for objective assessment of intraoperative skill using videos of the surgical field, and our platform for video-based learning for surgeons.

About the Speaker: Shameema Sikder, M.D. is the L. Douglas Lee and Barbara Levinson-Lee Associate Professor of Ophthalmology at the Wilmer Eye Institute at Johns Hopkins University, School of Medicine. Dr. Sikder specializes in cornea and complex cataract surgery and is also the director of the Center of Excellence for Ophthalmic Surgical Education and Training (OphSET) at the Johns Hopkins Hospital. Dr. Sikder also holds a faculty appointment at the Malone Center for Engineering in Healthcare at Johns Hopkins University. She has a particular interest in surgical education and training and through NIH support, is working on technologies that could be implemented at the international level to improve the standards of ophthalmic surgical care.

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