Ping An Technologyโ€™s intelligent disease prediction and screening models can now forecast the likelihood of an influenza outbreak with a more than 90% accuracy, according to a South China Morning Post report

Why it matters: Accurate and timely predictions of infectious disease outbreaks can be valuable to authorities working to prevent and control them more efficientlyโ€”ultimately saving lives.      

  • The technology arm of Ping An Insurance, one of Chinaโ€™s biggest insurers, Ping An Technology is also working on predictive models for diseases like diabetes and chronic obstructive pulmonary disease, which can provide insight into their epidemiology on a regional level. 

โ€œDisease prevention and control has been a high priority for national health systems across the world. If we can spot the risk at a preliminary stage and make early treatment, it will not only alleviate the suffering of patients but also lower overall medical expenses.โ€

โ€”Xiao Jing, chief scientist at Ping An Group

Details: The machine-learning based prediction models are currently exclusive to Shenzhen and Chongqing, and leverage environmental data, case reports from local hospitals, and historical data from regional health authorities.      

  • Dubbed the worldโ€™s first โ€œmacro-microโ€ method of disease prediction through AI and big data, the models can make an accurate prediction up to a week before an outbreak, the company said in a 2018 statement.
  • They can then be sent be sent as digital alerts to city authorities. 

Context: This isnโ€™t the first time Ping An has explored the potential of AI in medical technology: Ping An Good Doctor, which was spun off from the insurance conglomerate in 2014, develops various AI-powered products, including telephone booth-sized clinics that collect a patientโ€™s health data for a human doctor to review. 

  • Other companies, like YITU Technology and Insilico Medicine, are using AI to streamline medical processes that can be both time-consuming and technically difficult for humans to accomplish. 
  • YITU Technologyโ€™s AI cancer screening tool uses computer vision to quickly make diagnoses and recommend treatments.
  • Insilico Medicineโ€™s new GENTRL tool promises to speed up and reduce costs for the slow and expensive drug development process by identifying new treatment candidates with AI similar to Googleโ€™s DeepMind.   

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