Research & Innovation
Biodesign, AI & 3D Printing
The genuine basis of a technology-forward reputation — funded research in robotics, navigation, 3D printing and machine learning, not marketing.
When a surgeon is described as “high-tech,” it is usually a slogan. In Dr. Garg’s case it describes his own published, funded science.
Surgical biodesign
Dr. Garg is a Stanford–India Biodesign alumnus and faculty member of the School of International Biodesign — a programme built around identifying real clinical needs and engineering devices to meet them. That discipline runs through his patents and devices, from the AIIMS plate to the FlexiOH™ functional orthosis.
Artificial intelligence & machine learning
His group has developed a supervised machine-learning model that distinguishes mild from severe adolescent idiopathic scoliosis using electromyography and gait data — an example of AI used to make the assessment of spinal deformity more objective. This work, published in Biocybernetics and Biomedical Engineering (2022), sits within a wider, grant-funded programme integrating AI into deformity analysis and surgical planning.
3D printing & patient-specific guides
3D printing allows the anatomy of a difficult case to be modelled, planned, and even rehearsed before surgery — and patient-specific osteotomy and drill guides to be manufactured for the individual patient. Dr. Garg’s review of the field appeared in the Journal of Clinical Orthopaedics & Trauma (2018), and his Department of Biotechnology–funded research develops AI- and computer-assisted patient-specific guides for spinal surgery.
Robotics & navigation
Robotics and navigation improve the accuracy of spinal instrumentation, particularly in complex anatomy. Dr. Garg has written on the trajectory of robotic spine surgery as it enters routine practice and applies these technologies in his deformity and minimally invasive work.
Signature techniques · Selected publications · Robotic & navigated surgery