Gastroenterology and Artificial Intelligence: 4th Annual Global Artificial Intelligence Summit (On-Demand | August 2022-Health Care and AI: State of the Art

Pdf Summary

The document discusses the intersection of healthcare experiences and synthetic data, with a focus on Google Cloud's involvement in the field. Google Cloud collaborates with various Google teams, including Google Health, Android, Search, Advertising & Maps, DeepMind, and Verily, to develop commercial tools and applications for the healthcare vertical. Verily's mission is to bring precision health to everyone, while Google's mission is to organize and make information universally accessible and useful.<br /><br />The document highlights the security risk associated with healthcare data breaches and the need for solutions like homomorphic encryption to enhance data protection. It also references the use of artificial intelligence (AI) in healthcare, such as the application of AI to small images and the reduction of images to tensors using auto-encoders.<br /><br />The document mentions the use of generative adversarial networks (GANs) to create synthetic numbers and explores their potential application to human faces. It also touches upon the incorporation of text tensors for more control in AI models. Additionally, the document introduces large multimodal models (LMMs) powered by 175B neurons and discusses the use of prompts in AI models.<br /><br />Google Cloud's involvement in healthcare data synthesis is highlighted, with a focus on using de-identified source data to train data generators and create statistically similar synthetic data. The document also mentions the use of medical tensor generation and privacy-preserving autoencoders. Finally, Google Cloud's FHIRSafe Experimental Release is mentioned, which involves the generation of synthetic data for medical purposes.<br /><br />Overall, the document provides an overview of Google Cloud's involvement in healthcare experiences and highlights the potential of synthetic data in advancing healthcare research and applications.

Asset Subtitle

Scott Penberthy, PhD

Keywords

healthcare experiences

synthetic data

Google Cloud

data breaches

homomorphic encryption

artificial intelligence

GANs

text tensors

LMMs

medical purposes