The technical aspects can be de-risked fairly quickly here -- check out the ISBI dataset http://biomedicalimaging.org/2016/?page_id=422 http://biomedicalimaging

The technical aspects can be de-risked fairly quickly here -- check out the ISBI dataset http://biomedicalimaging.org/2016/?page_id=422 http://biomedicalimaging.org/2016/?page_id=422 and all the papers around it. The societal challenges will be a devil to defeat. FYI I actually quit my Wall St job several years ago, did something similar with diagnostic imaging, built a working classifier that is doctor-level sensitive (low false negative especially). For us it was near impossible to succeed in the US because the US healthcare system is designed from all directions to be inefficient. Our tepid success came from moving overseas temporarily and proving out the system in a smaller country with a forward-looking healthcare system with less conflicts of interest. We focused on a local problem (Tuberculosis.) Even then, I'm almost two years in and ended up acquiescing to a premature acquisition because the healthcare system is so difficult to navigate. My lockup is almost complete, the next startup, I'm going to focus on something easier like world peace. I don't mean to discourage you, but you would likely be a lot more successful if you have some "in" with a hospital system willing to work with you. IMHO, in healthcare, the technology is the easiest part. Incidentally...yes...we've built it on TensorFlow! And if you do wish to talk tech about this idea, feel free to reach out to me.