From AI model to software medical device: Why the algorithm is only a fraction of the work - Aidence

"For every $1 you spend developing an algorithm, you must spend $100 to deploy and support it." If you're not familiar with our industry, this may sound counterintuitive. The development of AI clinical solutions does not consist solely of modelling. It is a long and challenging process, from gathering and curating medical data to training, testing, validating, and certifying the model; deploying it in the hospitals' complex IT landscape; maintaining and improving its performance. In this article, I zoom in on the development of a'complete' AI solution, based on our approach with Veye Lung Nodules, a medical device currently used in over 70 European sites. The story of Veye is, in many ways, the story of building Aidence, from founding to our recent acquisition.