AI in Healthcare
Today I listened to podcast with Emma Rocheeau who is working at intersection of AI and Medical Science. I am amazed and impressed at scholars in this field becoming expert in and in what were traditionally considered completely different 2 areas.
You become a doctor or you become a programmer, not both. AI is changing that. Emma shared interested insights into how she wanted to be on technical side but had primary subjects in medical field, and then when a moment came to utilise AI she jumped into it to explore her love for technology again. She has done phenomenal work in researching the usage of AI on various areas, creating and experimenting with different models, doing Phd and also a teacher in this space.
The podcast explores aspects such as decision making, AI becoming a tool and not replacing doctors like any other new technology. The use cases of AI continue fascinate me, in the area of medical research for example, it can help with early diagnosis of a disease, it can help drive very specific insights by looking at different data points about human biology, behaviour and tests such as MRI, Xray, C T Scans and more and help with better medical prescriptions and so much more, the scope of using AI is limitless. From DNA analysis to demystifying protein structures, medicine research and reducing the time it would take from years to hours is just beyond anything we could imagine a few years ago.
What Emma also emphasised on is the need for the technology and medical experts to come together as they don’t understand each other too well. Technology teams don’t have good understanding of clinically important research areas and those that know that side do not understand technology too well. This point cannot be emphasised enough.
For my own domain, we work with customers directly and try and understand their pain points - and many a times we meet them, though not as often as we would like to considering majority of the times they are in a different country. First hand experience, talking to customers and knowing industry & domain are critical to defining relevant use cases and equivalent of “clinical trials” or “Clinically important” research areas in every domains such as manufacturing, speciality chemicals, retail, and more and equally to both B2B and B2C.
