Disrupt! by James Bidwell

Disrupt! by James Bidwell

Author:James Bidwell [Bidwell, James]
Language: eng
Format: epub
ISBN: 978-1-4736-7409-7
Publisher: Quercus
Published: 2017-10-05T04:00:00+00:00


The new AI-based medical assistant functionality will increase doctor productivity and enable patients to obtain faster responses to their health-related questions.

Baidu has built a 1,000-person team to work on AI – one of the company’s top priorities. The app launches in China along with partners including doctors and health-care organizations. The company is also in talks with health-care organizations in the United States and Europe. Baidu drew on data from a number of public and private sources for Melody’s artificial intelligence, including medical textbooks, medical websites and search queries and information supplied by doctors. It then applied deep learning to all that health data in order to make sense of it.

Melody is not ready to make diagnoses directly to patients. This type of technology is a long way from replacing human physicians with fully robotic doctors. The company is focused on helping to bridge the gap between patients and doctors and relieve some of the pressure, rather than replacing health-care professionals altogether.

China has already deployed chatbots in an array of roles, so Chinese consumers are already quite comfortable about chatting to AI-powered bots. However, it is hard to ignore the high-profile health-care data breaches that have taken place in recent years. In light of this, some consumers are likely to be wary of sharing too much health information with Melody and Baidu, and risk exposing their medical records to malicious parties.

We have seen some significant medical innovations that use technology to support the process of diagnosis, including a start-up called Everly that allows patients to order medical tests at home and view the results online, and a wearable chip developed at Eindhoven University that monitors sweat levels to detect whether users are ill.

__TAKEAWAYS

1. What other areas of medicine could benefit from automation?



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