Two-thirds of the world lives in radiology-scarce zones without access to quality radiology services. A startup company based in Japan (mnes.org) is addressing this challenge via a tele-radiology solution which is used to upload data collected by a fleet of mobile, van-based imaging clinics to the cloud. Remote radiologists review the images and provide a report which prescribes the most relevant treatment for the patient. Machine learning is used to increase the efficiency of the radiologists and enables more patients to get access to this scarce expertise. In this session, MNES will share some of the insights gained during the process of developing their GCP-based teleradiology solution. Join us to learn how cloud and ML can introduce Healthcare 2.0.
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Publisher: Google Cloud
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