Akhil Vaid
Akhil Vaid, MD, is a distinguished Instructor at the Division of Data Driven and Digital Medicine (D3M), Department of Medicine at the Icahn School of Medicine at Mount Sinai. Renowned for his expertise as a physician-scientist, Dr. Vaid's work navigates the intriguing intersection of medicine and technology, with a resolute commitment to foster democratized healthcare through the power of machine learning.
After obtaining his medical degree from one of India's eminent medical colleges, Dr. Vaid served patients across diverse socio-economic landscapes. This unique exposure catalyzed his conviction that true healthcare equity could only be achieved through machine learning and artificial intelligence. Consequently, he ventured into the intricate domains of multi-modal machine learning, specializing in deep learning with ECGs, federated learning, Natural Language Processing, and deriving valuable insights from the Electronic Healthcare Record.
Before his current role at the Icahn School of Medicine at Mount Sinai, Dr. Vaid honed his clinical skills and amassed a wealth of experience in the Indian healthcare system. His medical journey is punctuated by his relentless quest for innovation, illustrated by his extensive contributions to the rapidly evolving field of digital medicine.
Dr. Vaid is the author of 54 scientific publications, esteemed contributions to esteemed medical journals, including Nature Medicine, the Annals of Internal Medicine, and NPJ Digital Medicine. His work is reflective of his profound understanding of medicine and technology and their potential in transforming patient care. His projects, backed by significant grants, encompass multiple facets of informatics, data science, and machine learning in medicine.