With Sixing Huang: https://dgg32.medium.com
Sixing on Twitter: https://twitter.com/dgg32
In this project, we have put together Neo4j, AWS and the eICU dataset to build a small virtual voice assistant. Although Doctor.ai can fulfill only a limited set of inquiries in its current form, it is not hard to see its enormous potentials in health care: we can use it in ICU, psychiatric clinics and dentists. By changing the underlying data, we can even make it into a general purpose Q&A chatbot for other industries.
0:00 Intro & Welcome
16:40 Doctor.AI Overview
24:53 Doctor.AI Demo
46:30 GPT-3 and Doctor.AI
1:02:57 Q&A
1:13:50 Wrap-Up
Doctor.AI Blog series: https://towardsdatascience.com/doctor-ai-an-ai-powered-virtual-voice-assistant-for-health-care-8c09af65aabb
Hetionet: https://het.io/
GTP-3 and other languages: https://towardsdatascience.com/gpt-3-for-doctor-ai-1396d1cd6fa5
Data: https://datathon-medium-file.s3.amazonaws.com/hetionet-integrate-ec2-diagnosis
Life Sciences Workshop 2021: https://neo4j.com/video/lifesciences-workshop2021/
Use code Community50 for 50% off GraphConnect https://www.graphconnect.com/