UCSF Joins Forces with Tech Companies to Eliminate Data-Sharing Risks

Artificial intelligence (AI) in clinical healthcare has met its greatest obstacle: the need for data privacy. To develop reliable clinical algorithms, AI needs data from a wide array of organizations, including hospitals and health systems, to create data sets that are representative of a broad spectrum of patients. The problem? Healthcare organizations are hesitant to share this information due to growing security concerns and the vital need to protect patient privacy.