Importance of Validation and Localization

Lsi Europe 2528 Oct, 2024Business

Another critical point discussed was the need for thorough validation and localization of AI models. AI models trained in one region may not perform equally well in another due to differences in patient populations and care pathways. Viatgé highlighted this issue, saying, "You have to justify why the population is similar and how you feel your validation is valid. If it’s not, then you have to reproduce it." Johannesson echoed this sentiment, explaining that, much like other medical devices, AI models must be reassessed for new markets to ensure safety and efficacy.