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

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This document discusses various aspects of health experiences with synthetic data. It mentions the involvement of Google Cloud in the healthcare industry, along with other entities such as Google Health, Android, DeepMind, and Verily. The focus is on tools, medical devices, software, machine learning, user-centered design, holistic health platforms, and regulatory expertise. The security risks associated with healthcare data are also highlighted.<br /><br />The document references the use of homomorphic encryption and AI techniques in healthcare data analysis. It mentions the reduction of images to tensors using auto-encoders and the exploration of synthetic numbers. The possibility of applying these techniques to human faces is mentioned.<br /><br />The concept of large multimodal models (LMMs) and the use of prompts in generating synthetic data are discussed. The document also mentions resources such as Google's research in computer vision and the Craiyon platform.<br /><br />The idea of using synthetic data for healthcare, with an emphasis on privacy preservation, is introduced. It mentions the use of EHR data, imaging, genomics, social data, wearables, and various types of coded data. Google Cloud's healthcare API and FHIRSafe Experimental Release are mentioned as tools for generating synthetic data while preserving privacy.<br /><br />Overall, the document provides an overview of the potential applications and considerations surrounding synthetic data in the healthcare industry, particularly in the context of Google Cloud's involvement.

Asset Subtitle

Scott Penberthy, PhD

Keywords

synthetic data

Google Cloud

healthcare industry

machine learning

privacy preservation

health experiences

security risks

AI techniques

medical devices

EHR data