AI in Healthcare

Schedule:
6:00 - Doors & Food
6:30 - Talk 1
7:15 - Talk 2
7:45 - Wrap & Chat
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Talk 1: Anupam Burra
Speaker: ZocDoc
Topic: Navigating healthcare in America often feels like a maze, and the stakes couldn’t be higher for finding the right path. Patients face countless hurdles—limited provider information, confusing insurance networks, and long wait times. For many, finding the right doctor can be overwhelming, especially when they only have a vague understanding of their symptoms or condition. Enter Zocdoc, where the process becomes remarkably simple. With just a few clicks, users can search for doctors that fit their unique needs, from location and specialty to insurance coverage. Here’s a secret: behind this ease is the power of machine learning, which plays a crucial role in reducing the cognitive load, helping guide patients to the right care when it matters most. During this talk, we'll discuss our journey with machine learning in search and recommendations, which is changing the lives of millions of people in America for the better.

Talk 2: Knowing When You Don't Know: Practical Guide to Uncertainty in ML Models
Speaker: Edwin Jain
Topic: Sometimes, accuracy is NOT all you need. In healthcare and other critical applications, your machine learning model being wrong is bad, but it being confidently wrong is worse -- we need models that know when they don't know. Unfortunately,
modeling uncertainty perfectly is expensive and therefore often overlooked. In this talk, we'll walk through several practical ways you can get your models to sit down, be humble, and tell you when they don't know.