17 DAILY MICCAI Wednesday feel more impact, and I joined a startup for a few years. You can name it if you want. Actually, the startup doesn't exist anymore. Okay, so you cannot name it… [laughs] I cannot name it. However, we were developing machine learning and data science approaches for women's health using physiological time series data. The company started out as more of a lifestyle product but turned into a medical device. During that time, I learned a lot about the actual realworld needs for AI in a high-risk situation. I decided to come back to research and found that these experiences in a medical device startup really motivated me to sharpen my vision for what I want to do. So, I'm very interested in trustworthy AI and safe applications. Really working with the clinicians to figure out what they need, how they interact with our algorithms, what problems we need to solve, and how. Is this what you always wanted to do? I haven't had a very clear path. Even before I started my PhD, I spent a year in industry. So I've been going back and forth a little bit and I think it's maybe a slightly unique trajectory, but I think it's good. I like where I'm at and I like that I have a pretty clear idea of why I'm doing the things I'm doing. Tell us, why are you doing the things you're doing? [hesitates for a moment] Well, I think from a technical perspective, what we are doing is very exciting. Now is a great time to be developing these methods. There's lots happening and I think the field we are in, we can make a real difference. Especially now that there are so many applications that are reaching real-world human-level performance. I think it's a very important time to figure out how we can actually make the transition. How can we bring this to clinical reality and to actual patient benefit? Is your drive patient benefit? Yes, ultimately. I mean, patient benefit of whoever is using the technology. Patient benefit in the end, of course. Tell us about this Dart workshop. What are you guys going to show? Actually, we are going to have a lot Lisa Koch
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