Ambra Health, makers of a cloud-based, medical image management suite, announced a new collaboration with Google Cloud to advance healthcare research with anonymized medical imaging data. Leveraging Google Cloud’s Healthcare API, the Ambra Health Cloud PACS solution for Google Cloud allows researchers to turn data into insights by easily de-identifying patient medical imaging data for use in research studies. Leading academic medical centers are among the first research institutions to use the solution to enable machine learning research to improve patient care.
In order for researchers to use MR, CT, or PET scans for machine learning experiments, researchers typically must remove Protected Health Information (PHI) from medical imaging data, including patient name, and date of birth in Digital Imaging and Communications in Medicine (DICOM) tags. Together with the new Google Cloud Healthcare API, Ambra Health helps solve this challenge for its healthcare research customers.
Last year, Ambra Health began offering its suite of medical image management software through Google Cloud Platform (GCP). The Ambra Cloud Picture Archiving and Communications System (PACS) is a fully managed platform that leverages the scalable, reliable, and highly secure cloud infrastructure of GCP. Most recently, Ambra Health became an adopter of the Cloud Healthcare API, which connects healthcare data to advanced Google Cloud capabilities.
To learn more, visit the Ambra Health or Google Cloud booth (booths #1122 and North Hall #7161 respectively) at the Radiological Society of North America (RSNA).
