

Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
Nov 11, 2019
In this engaging discussion, Xavier Amatriain, Co-founder and CTO of Curai, shares insights into revolutionizing primary healthcare through AI and machine learning. He tackles the shortcomings of traditional care and highlights how his startup enhances patient-physician communication. The conversation delves into the integration of expert systems with modern ML tools and the use of synthetic data to improve diagnostics. Amatriain also discusses the application of transformers like BERT and GPT-2 in crafting intelligent chatbots that support healthcare interactions.
AI Snips
Chapters
Transcript
Episode notes
Curai's Mission
- Curai's mission is to make high-quality healthcare accessible and affordable through AI.
- They focus on primary care, automating patient-physician conversations via phone.
Augmenting Physicians
- Curai uses AI to automate patient-physician conversations, augmenting, not replacing, doctors.
- This makes healthcare more scalable: doctors can handle more patients with AI assistance.
Time Constraints in Primary Care
- Doctors face time constraints in primary care, averaging 12 minutes or less per patient in the US.
- This limited time makes accurate diagnoses and treatment recommendations challenging.