Abstract
Computer vision (CV) feedback could be aimed as a constant tutor to guide ones proficiency during microsurgical practice in controlled environments. Five neurosurgeons with different levels of microsurgical expertise performed simulated vessel dissection and micro-suture in an ex vivo model for posterior computer analysis of recorded videos. A computer program called PRIME (Proficiency Index of Microsurgical Education) used in this research recognized color-labeled surgical instruments, from downloading videos into a platform, with a range of motion greater than 3mm, for objective evaluation of number of right and left hand movements. A proficiency index of 0 to 1 was pre-established in order to evaluate continuous training improvement. PRIME computer program captured all hand movements executed by participants, except for small tremors or inconsistencies that have a range of motion inferior to 3mm. Number of left and right hand movements were graphically expressed in order to guide more objective and efficacious training for each trainee, without requiring body sensors and cameras around the operating table. Participants with previous microsurgical experience showed improvement from 0.2 to 0.6 (p < 0.05), while novices had no improvement. Proficiency index set by CV was suggested, in a self-challenge and self-coaching manner. PRIME would offer the capability of constant laboratory microsurgical practice feedback under CV guidance, opening a new window for oriented training without a tutor or specific apparatus regarding all levels of microsurgical proficiency. Prospective, large data study is needed to confirm this hypothesis.
Highlights
Computer vision (CV) can be defined as how computers can gain high-level of understanding from digital images or videos
The ones working with brain vessel microsurgery are considered skilled ones, what is generally acquired after exhaustive laboratory training [7,8]
Surgical fine hand movements have been objectively evaluated by body sensors and cameras, requiring specific apparatus placed into the operating room, in order to provide computerized feedback analysis of performance
Summary
Computer vision (CV) can be defined as how computers can gain high-level of understanding from digital images or videos. When added to machine learning (ML) they can be pathways to reach artificial intelligence (AI) by data recognition, interpretation and analysis resulting in information feedback to define a process. The ones working with brain vessel microsurgery are considered skilled ones, what is generally acquired after exhaustive laboratory training [7,8]. Surgical fine hand movements have been objectively evaluated by body sensors and cameras, requiring specific apparatus placed into the operating room, in order to provide computerized feedback analysis of performance. Despite of being innovative this technology is not cheap neither practical, especially to be used in any microsurgical laboratory to guide performance. Acquiring data from surgical instruments movements by pre-determined color markers differentiated from surgical field structures is an original idea explored by our group under CV methodology
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