Dr Piush Choudhry did his M.B.B.S. from King George’s Medical College Lucknow in 1993 and completed his internship training at civil hospital ,Lucknow in 1994. Then worked on a project ‘desynchronisation of alpha rhythm in brain waves' in 1995-96 at computational brain facility centre, cognitive neuroscience unit, Westmead Hospital ,Sydney, Australia. After completion he joined Master of Surgery at M.S.Ramaiah Medical and Teaching Hospital in 1997 ,Bengaluru and completed surgical training in 2000. He joined as senior resident in Batra Hospital and Medical Research Centre in 2001. Then became a visiting surgeon to University of Erlangen-Nurnberg ,Germany and member of European Association of Endoscopic Surgeons in 2003. He was affiliated to Indraprastha Apollo Hospital, Surgical Trainee All India Institute of Medical Sciences in 2007 ,Indian Spinal Injuries Centre and others in New Delhi till 2010. Since 2010 he is working in his hospital at Shahjahanpur(U.P.) . His publications include a book on vascular surgery , Step by Step arterial surgery in 2013 , available in digital format also with illustrations on approach to arteries in the human body . Besides a publication in Journal of Minimal Access Surgery on Thoracoscopic Splanchectomy, his publication include a review of alpha waves ,intelligence and orienting reflex in Indian journal of neuroscience and subsequently ‘ The Intelligence Reflex ‘in the same journal in 2017. Presently he is pursuing a post graduate program in Artificial Intelligence and Deep Learning from Manipal Academy of Higher Sciences.
Dr. Piush Choudhry Reserch interest include The dynamics of cognition can be quantified to measure a change in intelligence. This era of design thinking needs an instrument to accurately define a cognitive change in similar lines as the one seen incorporated in a monitor in an intensive care that measures pulse, oxygen saturation , electrocardiographic changes besides other parameters that are conveniently read in real time during surgical procedures and intensive care units . Not only will this help monitor an improvement in critical care patient after head injuries , change of cognition in brain disorders but generally be beneficial for students , children to assess intellectual gain . Also using metrics in Artificial Intelligence one can predict a management protocol for head injuries in Glasgow Coma Scale besides other various applications in different specialities of healthcare.