Dr. Shah is a Cedars-Sinai and Stanford-trained spine surgeon specializing in minimally invasive and technology-driven spine care. He completed his medical training at Northwestern University, an artificial intelligence research fellowship at Stanford University, surgical residency at UT-Austin, and advanced spine surgery fellowship at Cedars-Sinai Medical Center. This unique combination of elite surgical training and cutting-edge AI expertise places Dr. Shah at the forefront of modern spine surgery.
Dr. Shah has been a trailblazer in using artificial intelligence and advanced technology in spine surgery to improve patient outcomes and surgical precision. His clinical philosophy centers on minimally invasive spine surgery and robotics as the best approach to treating patients—doing the least amount necessary to get patients back to their lives with minimal interruption. His areas of expertise include disk replacement and motion-preserving surgery, minimally-invasive microscopic decompression of the cervical and lumbar spine, minimally invasive spinal fusions (XLIF and ALIF), and robotic-assisted spine surgery. Dr. Shah specializes in performing surgery in the outpatient setting, where advanced minimally invasive techniques allow patients to return to the activities they love as quickly and safely as possible.
Dr. Shah is a prolific researcher and accomplished author, with more than 75 presentations and publications in orthopedic and spine surgery. He has written multiple book chapters and is frequently invited to present his work at national and international conferences, where he shares his knowledge in minimally invasive techniques and artificial intelligence in surgery.
A few highlights of his recent work:
