How to build medical AI: Combining best practices from machine learning and medical device development
AI offers huge promise for the pharma and life sciences sectors. For diagnostics in particular, early adopters have an opportunity to play a major role in shaping the ecosystem as a whole.
Development of AI/ML solutions is, however, hampered by a lack of clear guidelines. Over the last few years, here at Zühlke we have been given the opportunity to develop and successfully implement regulatory compliant AI solutions for a number of pharmaceutical companies. Our 17-page whitepaper explores best practices and regulatory requirements for AI in diagnostics.
We also share our understanding of good practice in machine learning, distilled from our experience in medical machine learning projects. The whitepaper will enable you to create safe, reliable artificial intelligence solutions that satisfy regulatory requirements and are able to genuinely improve patients’ lives.
If you would like us to send you a copy of our whitepaper, please fill in the form below.
