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Best Aortic Valve Repair (AVR) Doctors in Max Super Speciality Hospital, Patparganj, Delhi

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Dr. Balbir Singh

Interventional Cardiologist

Group Chairman of Max Super Speciality Hospital, Saket, New Delhi
MBBS, MD, DM, FACC

Max Super Speciality Hospital, Saket, New Delhi Max Super Speciality Hospital, Saket, New Delhi

41 Years of Experience41+ Years of Experience

Language Language: English Hindi

About
Dr. Balbir Singh is one of the best cardiologists in the Delhi NCR region, with over 41 years of experience. He is responsible for pioneering minimally invasive cardiology surgical techniques in India and is an expert in interventional cardiology, electrophysiology, heart rhythm disorder and pacing, and implanting heart failure devices.


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Doctor of Pharmacy

Dr. Deepanshu Siwach is a skilled clinical pharmacist with a Doctor of Pharmacy degree.?He has 4+?years of experience and has worked with thousands of patients. He has been associated with some of the top hospitals, such as Artemis Gurgaon.

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Dr. Deepanshu Siwach is a skilled clinical pharmacist with a Doctor of Pharmacy degree.?He has 4+?years of experience and has worked with thousands of patients. He has been associated with some of the top hospitals, such as Artemis Gurgaon....

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Chairman

Cardiac Electrophysiologist, Interventional Cardiologist

BLK-Max Super Speciality Hospital, New Delhi

Dr. T.S. Kler, a Padma Bhushan awardee and the Chairman of Fortis Heart & Vascular Institute, transformed the field of electrophysiology in India through over 35,000 angioplasties and innovative device implants. After earning the MRCP (UK) in 1989, he launched India's first electrophysiology lab at Escorts Heart Institute in 1993, where he conducted the country's first ICD implant in 1995 and the first CRT-D implant in 2000. His introduction of HIS bundle pacing in 2015 resulted in a 30% improvement in cardiac synchronization outcomes. He is one of the leading doctors in Gurgaon, India, and he is currently focused on integrating AI-driven models for arrhythmia prediction, analyzing over 10,000 ECGs with a machine learning algorithm....