Video Commentary & Machine Learning: Tell Me What You See, I Tell You Who You Are

The Development of Artificial Intelligence in Hernia Surgery: A Scoping Review

“…The study results revealed that the system demonstrated the potential of enhancing surgeons' confidence and is relevant to applications with limited resources ( 17 ). In a similar viewpoint, Baloul et al argued that AI, via a machine learning algorithm developed by the researchers, enhanced the prediction of the involved trainees’ post-graduate year levels ( 18 ). The algorithm effectively gauged the learners’ levels based on extensive assessments like video commentaries.…”

“…The algorithm effectively gauged the learners’ levels based on extensive assessments like video commentaries. Nonetheless, the authors posited that the approach required more studies and a more significant dataset to derive conclusive and replicable results ( 18 ). Therefore, this argument implies that more studies are essential to determine how inguinal hernia surgeons and trainers can apply artificial intelligence to their advantage.…”

Artificial Intelligence in Surgical Education: Considerations for Interdisciplinary Collaborations

“…7 On the other hand, non-rule-based AI simulates human intelligence to perform tasks without necessarily relying on pre-determined rules, building algorithms that automatically adapt to change, and this is the most popular application of AI in surgery and surgical education. 8,9 For example, using supervised machine learning algorithms (artificial neural networks) to classify patterns of performance that distinguish between expertise levels in a virtual reality Sim-Ortho simulation task is an example of a non-rule-based AI. 10 In conclusion, our definition contributes to building a shared understanding of AI in surgical education, which is an important step in building and strengthening bridges between and across disciplines, to enhance the development and application of AI into surgical training and associated research.…”

“… 7 On the other hand , non-rule-based AI simulates human intelligence to perform tasks without necessarily relying on pre-determined rules, building algorithms that automatically adapt to change, and this is the most popular application of AI in surgery and surgical education. 8 , 9 For example, using supervised machine learning algorithms (artificial neural networks) to classify patterns of performance that distinguish between expertise levels in a virtual reality Sim-Ortho simulation task is an example of a non-rule-based AI. 10 …”

Commentary: Halsted meets Zoom

“…TensorFlow ( https://www.tensorflow.org/ ) has come a long way from identifying cats in a You Tube video and has already been implemented in surgical education. 5 It seems to be a small step forward to build a library of videos that can produce new metrics for the assessment of technical precision.…”