AIIMS, IIT Delhi Unveil Breakthrough Deep Learning System For Neurosurgery Training
AIIMS New Delhi and IIT Delhi unveiled a stand-alone Deep Learning system in the field of neurosurgery during the 16th IITD Open House program, the institutions informed in a joint press statement on Tuesday. The initiative, led by Prof. Ashish Suri, Head of Unit at the Neurosurgery Department and Faculty-in-charge of the Neuro-Engineering Lab at AIIMS New Delhi, in conjunction with the distinguished minds of Prof. Prem Kumar Kalra, Prof. Subodh Kumar, and Prof. Chetan Arora from the Department of Computer Science and Engineering at IIT Delhi, represents a significant leap forward in the way neurosurgical skills are trained and evaluated.
The collaborative work, supported by the Center of Excellence projects funded by DBT and ICMR, showcased the "Automatic Evaluation of Microscopic and Endoscopic Skills." The highlight of the demonstration was the introduction of a stand-alone Deep Learning system designed to train and evaluate neurosurgeons on intricate microscopic techniques such as micro-suturing and micro-drilling, along with endoscopic skills crucial for impeccable hand-eye coordination, the statement said.
Prof. M Srinivas, Director , AIIMS New Delhi, engaged in a conversation with PhD students involved in the project and commended the remarkable strides made in this pioneering initiative, emphasising its potential to revolutionise the way future surgeons are trained. "The collaboration between IIT Delhi and AIIMS through this project has yielded significant results in the automation of skills evaluation in microscopic and endoscopic neurosurgery training using computer vision and AI/ML. This will foster further research towards the development of technology in medical education and training," said Prof. Prem Kumar Kalra.
Dr Ramandeep Singh, Scientist at the Neuro-Engineering lab, AIIMS New Delhi, said, "3D printing and biomechanical properties play a crucial role in neurosurgical simulation, enabling the development of highly realistic anatomical models that accurately replicate the physical characteristics of brain tissues, helping surgeons to refine their skills in a controlled and repeatable environment."
