“I think one of the examples that illustrates this really well is in the medical space, where Watson is helping doctors make decisions and parsing large quantities of data, but then ultimately working with them on a diagnosis in partnership. Can you talk a little bit about how that training takes place and then how the solution winds up delivering better outcomes?
The work that we've done in oncology is a good example of where really it's a composition of multiple different kinds of algorithms that, across the spectrum of work that needs to be performed, are used in different ways. We start with, for example, looking at the medical record, looking at your medical record and using the cognitive system to look over all the notes that the clinicians have taken over the years that they've been working with you and finding what we call pertinent clinical information. What is the information in those medical notes that are now relevant to the consultation that you're about to go into? Taking that, doing population similarity analytics, trying to find the other patients, the other cohorts that have a lot of similarity to you, because that's going to inform the doctor on how to think about different treatments and how those treatments might be appropriate for you and how you're going to react to those treatments.
Then we go into what we call the standard of care practices, which are relatively well-defined techniques that doctors share on how they're going to treat different patients for different kinds of diseases, recognizing that those are really designed for the average person. Then we lay on top of that what we call clinical expertise. Having been taught by the best doctors in different diseases what to look for and where the outliers are and how to reason about the different standard of care practices, which of those is most appropriate or how to take the different pathways through those different care practices and now apply them in the best way possible, but finally going in and looking at the clinical literature, all the hundreds of thousands, 600,000 articles in PubMed about the advances in science that have occurred in that field that are relevant to now making this treatment recommendation.”
IBM Watson CTO on Why Augmented Intelligence Beats AIhttp://sea.pcmag.com/feature/16986/ibm-watson-cto-on-why-augmented-intelligence-beats-ai