https://predictiveanalyticsworldhealthcare.eu/speakers/
AI in healthcare has immense potential. However, a “translational gap” is emerging, where the majority of amazing results stay in the concept phase, with very little actual certified medical products. This talk dives deep into the development of an AI healthcare product and covers the 4 most important topics: clinical validation, regulatory domain, algorithmic domain and data domain. The talk will specifically point out how the current funding schemes and development processes (agile) are not a good fit for all phases of an AI healthcare product. This topic is of high importance for everyone involved and managing an AI in healthcare project or product. The objective for the participants is to become familiar with the prerequisites of a successful AI in healthcare project and to understand the chances and pitfalls of bringing a proof-of-concept to an actual certified medical product.