AQ: Ant Group's AI Health App 181

Powered by Ant's medical foundation model trained on over a trillion tokens of medical data, AQ offers health education, consultation, report interpretation, health records management, and multimodal interaction via image, voice, and video.

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Visit AQ: Ant Group's AI Health App

AQ: Ant Group's AI Health AppIntroduction

Ant AQ is an app based on the Ant Medical Large Model. Trained on over a trillion tokens of professional medical data, it provides health science popularization, consultation services, report interpretation, health record management, and other features, and supports multimodal interactions such as images, voice, and video. The Ant AQ app has passed the dual-domain trustworthy assessment for medical and health large models conducted by the China Academy of Information and Communications Technology (CAICT), achieving the highest security level.

Main Features

Health Science Popularization: Provides popular science knowledge about diseases and health.
Consultation Services: Users can consult about symptoms. AQ will simulate a doctor asking key follow-up questions to provide more precise suggestions.
Report Interpretation: Supports uploading examination reports, automatically analyzes indicators, and reminds users whether further medical attention is needed.
Health Records: Records health data such as medical visits, medications, exercise, and diet, facilitating long-term management.

Medical Resource Connection

AQ has connected with over 5,000 public hospitals and nearly one million doctors nationwide. Users can match suitable medical resources with one click. In addition, more than 200 hospitals offer cloud-based accompanying consultation services, and ai can assist with navigation during offline medical visits.

Famous Doctors' AI Avatars

Nearly 200 experts from top-tier (Class III Grade A) hospitals, including academicians, have joined AQ, providing 7×24 online answers to health questions.

Smart Hardware Support

AQ partners with health management device brands such as Yuwell and Sinocare, and integrates with wearables from vivo, Huawei, Apple, and others. By combining data such as blood glucose and sleep, it delivers personalized health recommendations.