Why is it important to build AI transparently? An interview with Emilie Boissady DVM, PhD and founder of PicoxIA

I: What is PicoxIA and why did you start this project?
E: PicoxIA is an Artificial Intelligence (AI) that reads small animals x-rays and guides the veterinarian through the radiological workflow. As a veterinarian, I had a daily use of radiology but I felt like it was difficult to get confidence in my readings. Colleagues would often disagree and referring to a specialist often wasnβt an option for cost and time reasons. I felt something could be improved! This is the reason why we founded PicoxIA: to bring something more to the profession.
I: You talk about transparency and ethics in building AI, why so?
E: As our goal is to bring something more to the veterinary practice, the first question we asked ourselves is: how good is our AI and how relevant is it to the practitioner?
We compared our performances with veterinarians, radiologists and published the results in peer-reviewed journals. We were the first to do so and we intend to continue to keep a transparent relationship with our users.
I: And so what are the performances of your AI?
E: Pretty good actually! On our first paper [1] we measured that we were statically better than veterinarians on most thoracic patterns and on our second paper [2] that there was no statistical difference with a radiologist on multiple patterns. We also reported excellent performances for the automatic plotting of VHS in our third paper [3]
I: So will we still need radiologists in the future?
E: Yes of course, the radiologist work canβt be reduced to lesion detection. The interpretation of a case is much more complex and it needs to take into account the anamnesis and the clinic examβ¦ We work hand in hand with radiologists and we think that our AI can be used as systematic first level scanning for x-rays that can then be referred to a radiologist if any doubt persists.
Want to try it? Go to https://picoxia.com and get a free trial or see us at the show π