"PhacoTracking": an evolving paradigm in ophthalmic surgical training.

Area of Science:

• Ophthalmology
• Surgical Education
• Medical Technology

Background:

• Surgical skill assessment is crucial for patient safety and effective training.
• Traditional methods for evaluating surgical proficiency can be subjective and time-consuming.
• Objective, quantifiable metrics are needed to enhance surgical skill evaluation.

Purpose of the Study:

• To investigate a novel computer vision-based tool for evaluating surgical movements during cataract surgery.
• To compare motion parameters between junior (novice) and senior (expert) surgeons.
• To determine the feasibility of using motion analysis for objective surgical skill assessment.

Main Methods:

• A prospective cohort study analyzed 20 video recordings of cataract surgeries.
• Ten videos from junior surgeons (<200 cases) and 10 from senior surgeons (>1000 cases) were included.
• Computer vision software measured instrument motion parameters throughout the procedures.

Main Results:

• Significant differences were observed between novice and expert surgeons in total path length (P = .002), number of movements (P = .05), and total procedure time (P = .004).
• The computer vision tool provided robust, quantifiable measurements of instrument motion.
• These findings indicate objective differences in surgical technique based on experience level.

Conclusions:

• Computer vision-based motion analysis is a viable tool for assessing surgical movements in cataract surgery.
• The technology can objectively differentiate between surgeon experience levels.
• Further research is warranted to explore its application in surgical training and feedback systems.