I’ve been recently involved in drafting a proposal for a project tender regarding the use of AI in the diagnosis of prostate cancer. Incoming data will consist of ultrasound images. Now, medical equipment is not an expertise of mine, so in the process I learnt a couple of things about the industry and I’ve come out quite frustrated. The reason for this is that some external limitations turned out to be imposed on the set of admissible AI solutions, artificially restricting the search space and, consequently, predictably forcing us to eventually settle on a sub-optimal solution. …

Rodrigo Vargas

Mathematical physicist turned AI researcher. Knows something about deep learning and the mathematics of quantum fields. Currently works at Ennova Research.

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