In part 3 of our series on how Google is using AI to take over the hospital, we look at how the tech giant's cloud services will impact health IT and patient data analysis.
Google is expanding into health IT through its cloud services, AI SaaS, and recent integration with DeepMind Health.
Google Cloud’s off-the-shelf machine learning tools provide healthcare practitioners with customizable tools for analyzing patient healthcare data. Such tools can improve patient diagnostics, predict the risk of mortality or hospital readmission, estimate healthcare costs, or enhance clinical and administrative decision-making.
One tool is Google Cloud’s AutoML, which allows organizations to develop custom models. For example, Imagia, a Montreal-based startup that develops diagnostic tools for healthcare providers, uses AutoML and Google’s Cloud Machine Learning Engine to train AI models to detect Alzheimer’s. The American Cancer Society also used Google’s machine learning tools to analyze 1,700 breast cancer tissue samples and discover patterns that can lead to improved treatment at a faster pace.
