Mayo Clinic to Implement Artificial Intelligence Prediction System

Mayo Clinic to Implement Artificial Intelligence Prediction System

The Mayo Clinic is set to implement an AI-powered patient triage and prediction platform developed by Israeli company Diagnostic Robotics at the American academic medical organization’s headquarters in Rochester, Minnesota to help reduce physician burden and optimize emergency room visits. The Mayo Clinic also has main campuses in Phoenix, Arizona, and Jacksonville, Florida.

The new collaboration, first publicized two weeks ago, will allow the Mayo Clinic’s emergency medicine department to make better informed, quicker decisions on patient care while reducing strain on medical teams.

Gush Dan Neighborhoods: Average COVID-19 associated symptoms region map. City municipal regions with at least 30 responders and neighborhoods with at least 10 responders are shown. Each region is colored by a category defined by the average symptoms ratio, calculated by averaging the reported symptoms rate by responders in that city or neighborhood. Green – low symptoms rate, red – high symptoms rate. Image: Weizmann Institute


This article was originally posted by NoCamels.com. See Featured article: Artificial Intelligence.


Diagnostic Robotics was founded in 2017 by Jonathan Amir, who serves as CEO, AI expert Dr. Kira Radinsky, the former director of data science and Israel chief scientist for eBay, who serves as chairman and CTO, and Professor Moshe Shoham, a founder of Israeli company Mazor Robotics acquired by medical technology firm Medtronic in 2018. The trio set out to develop a human–machine hybrid AI diagnostic system that could help alleviate strained health budgets and workforces by helping physicians, healthcare providers and insurers with patient navigation while providing improved risk-prediction capabilities for clinical decision-making.

The system uses artificial intelligence, trained on data from millions of Electronic Health Records, some 27 million patient visits, and billions of data points from the US and Israel, as well as a simple questionnaire to perform clinical intake of patients in emergency rooms, urgent care clinics, and even patients from home. The medical teams can review the self-reported condition, suggest differential diagnoses, and issue a hospitalization risk score for the patient to supplement the physician decision-making process in real-time, Diagnostic Robotics described in the announcement.

The company raised $24 million in Series A funding in November.

The triage service itself is a personalized system guiding the patients through their journey in the medical ecosystem, analyzing their medical history and current medical case using NLP technologies, with generic ability to integrate with multiple sensory output data, Dr. Radinsky and Amir previously explained to NoCamels in April.

“Our mission at Diagnostic Robotics is to improve patients’ experience and support healthcare providers by creating seamless, data-driven interactions that reduce administrative burdens and curb the costs of care,” said Amir in a company statement dated June 18.

“We are excited to collaborate with Mayo Clinic and implement our triage platform, this collaboration reflects the synergy between our technological vision and Mayo Clinic’s cutting-edge medical expertise,” he added.

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