Machine Learning Aided VR - Helping Neurosurgeons Train Better
With improved accessibility to new technologies, there has never been a better time to include a plethora of studies into the field of artificial intelligence. It has the potential to pave the way for developing tools that can serve the clinicians and researchers greatly with effective training.
One such ingenious utility emerged out of the research carried out at Neurosurgical Simulation and Artificial Intelligence Learning Centre at the Montreal Neurological Institute and McGill University Health Centre, where the researchers used machine learning algorithms to guide virtual reality training platforms for neurosurgeons.
Since brain-related diagnoses or cures are always critical, a lot depends on the skill of the neurosurgeon. The feedback provided by this platform helped to gather more insights about the expertise of the surgeons.
Simulators, while affording learners the opportunity to safely develop technical skills during the particularly dangerous and error-prone early phases of skill acquisition, do not obviate the need for learner feedback, which is often given by skilled instructors. AI in critical areas should be considered only as an augmentation to the traditional methods and not as a tool to promote their abandonment because human assistance in achieving clinical expertise is unparalleled and it would be safe to say that it will remain to be so.
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