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Today, Ant Group officially announced the launch of a special campaign targeting false medical advertisements. Its AI health assistant AQ simultaneously introduced a series of innovative features, including AI photo verification, AI phone authentication, and 24-hour continuous rumor debunking, to build a comprehensive medical information anti-counterfeiting system. Users only need to input the command "counterfeit" in the AQ App to instantly activate four core functions: identifying the authenticity of pharmaceutical and health product advertisements around them through photo recognition, verifying health rumors in real-time via AI calls, obtaining continuously updated debunking news, and achieving 24-hour online consultation by relying on a team of 300,000 real licensed physicians and over 300 AI doctor avatars led by CAS academicians.
According to official disclosure, all doctors cooperating with the AQ platform are qualified with formal medical licenses, among which 69% are from top-tier hospitals. To address the issue of elderly people being easily deceived by false medical information, AQ has partnered with the Lanmaia Public Welfare Organization to establish the "Silver-haired Counterfeit Busting Team," planning to conduct more than 1,000 anti-fraud education activities nationwide this year. Through case analysis and scenario simulations, these activities aim to help the elderly identify frauds and protect their pension funds.
"We adhere to the 'Four Truths Principle'—authentic sources, real doctors, real hospitals, and genuine science." emphasized the AQ project leader, stating that all health-related responses on the platform do not set commercial targets, and content is generated entirely based on medical evidence chains. The platform continues to upgrade the anti-fraud technology of the Ant Medical Large Model to ensure that response content is not affected by false marketing information on the internet. Currently, AQ has built a risk information database covering medicines, devices, and health products with over 20 million entries, capable of real-time identification of more than 98% of common medical advertisements.
