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Tuesday, September 1, 2020

Assessing the performance of surgeons by scanning their brain

The researchers have researched and developed a deep learning AI tool called Brain-Net that can rely on surgeons' neuroimaging data to accurately predict their certification scores.

Objective assessments of surgeons' surgical skills are determined through certification scores, known as the Fundamentals of Laparoscopic Surgery program (FLS). The certification score demonstrated effective training is calculated manually using a formula that consumes effort and time. 

Researchers have applied nationally The Fundamental of Laparoscopic Surgery program for medical subjects including surgical residents, fellows, and practicing physicians with the aim of learning and practicing endoscopy, enabling them to measure and document those skills. Besides, the time of the surgical task execution, as well as error estimation, are the scoring platform, which is one of the crucial aspects of this program. 

AI can predict a surgeon’s certification scores based on their neuroimaging data. (Photo: News Punch)

Thanks to a simultaneous neural network from using optical imaging of the human brain, the team of researchers were able to accurately predict the FLS score of surgeons. They used functional near-infrared spectroscopy (fNIRS) data which is effective in categorizing different motor tasks, to predict the final performance score used in the surgical certification. These outcomes are a premise to improve surgical skill acquisition, retention, and the certification process by utilizing neuroimaging and deep learning for neurofeedback. While current approaches only concentrate on task repetition without the potential for fast and objective feedback, these new approaches can enable a more personalized training regimen with bedside responding for optimal skill acquisition.

The neuropsychiatry of surgeons is a way to improve the way their surgical skills are taught and evaluated, thus laying the foundation for new improvements in surgical mission performance and personalized training methods in the future. Moreover, researchers also hope future studies will be able to find a new arrangement of neuro biomarkers that give a better understanding of surgical skill learning and execution.

Source: Digitaltrends

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