More than a chatbot • healthcare-in-europe.com
Liquified data to enable comprehensive analyses
As the AI models get more refined, the smaller the risk [of hallucinations] becomes, and the more automation is possible. However, there still needs to be a human expert in the loop, and that will not change anytime soon
Shez Partovi
However, to exploit this potential, the existing data must be liquidated, made available to the AI, he continues: ‘Almost every medical device is generating data, but most of this information is sitting inside silos, and the AI cannot make associations because it is all separate. We have therefore created a solution called Capsule, a platform to integrate all the medical device data. These can then be used by the AI for predictive and generative models.’
A well-known challenge for AI models is the generation of improper responses, commonly referred to as “hallucinations”. To avoid this, human validation of the results remains a key element, Partovi says: ‘As the AI models get more refined, the smaller the risk becomes, and the more automation is possible. However, there still needs to be a human expert in the loop, and that will not change anytime soon. At Philips, we see AI as a tool that makes clinicians, nurses, and physicians more effective, to make their life easier, not to remove them completely.’
Profile:
Shez Partovi, MD, is Chief Innovation & Strategy Officer and Chief Business Leader of Enterprise Informatics at Royal Philips, where he drives cloud transformation and AI in healthcare. Previously, he spearheaded global business development efforts at Amazon Web Services. As a renowned neuroradiologist, clinical professor, and co-founder of Arizona State University’s Biomedical Informatics Department, his expertise bridges the fields of medicine and technology.
