Student  |  Ophthalmology, Medical student

Nishaant Bhambra

St. Michael's Hospital

MD (c)

Address
Montreal, Quebec Canada
Research Interests
Machine learning, AI adoption, AI education, genomics
Clinical Interests
Computer vision, generative adversarial networks, medical decision making, ophthalmology, diagnostic imaging

I am a medical student at McGill University and a researcher at St. Michael's Hospital. I am specifically interested in using computer vision and AI approaches to improve diagnostics in ophthalmology.

My background in genomics and bioinformatics and work in computer vision makes me especially interested and excited about the future of AI in medicine. My work focuses on using computer vision to diagnose and detect microvasculature changes in ophthalmology. While my work has focused on that medical specialty, the approaches I've used in computer vision are broadly applicable to medical imaging.

While AI is touted as the "fourth industrial revolution", I believe it will be as important to medicine as our understanding of human physiology. Specifically, I see AI as helping to improve the areas of medicine where humans are weaker than machines, such as in clinical and scientific reasoning. I hope that my helping to relieve the burden on physicians and healthcare workers, that AI will allow for a greater human touch in medicine. This belief in the future of AI in medicine is what attracts me to T-CAIREM and its mission to improve AI's adoption in medicine.