The core scenarios in healthcare are doctor-patient and doctor-doctor interactions, including other interaction scenarios between doctors and AI, patients and AI derived from the application of technology. These scenarios will face four issues:

(1)How to quickly acquire multi-modal information in the process of interaction, solve the shortcomings of traditional single-modal capture methods, and lay a data foundation for improving the quality of interaction.

(2) How to fuse multi-modal information on a fine granularity to depict local and global information from all aspects, so as to accurately understand, analyze and evaluate patients.

(3) How to implant a doctor-like logic brain into AI, drive AI to simulate multiple rounds of dialogue and interaction between doctors and patients, provide medical consulting services, and achieve diagnostic reasoning and illness assessment.

(4) How to build accurate patient portrait tags, achieve personalized service in the course of doctor-patient interaction and patient management, and enhance medical service satisfaction.

Aiming at the above issues, based on the needs of patients, iFLYHealth has made innovative breakthroughs in speech recognition, multi-modal perception and understanding, multi-modal inquiry, Event-Evolutionary and Graph-Interactive Question Answering, and personalized active intervention, respectively, through years of technical research.

iFLYHealth's perceptual interaction technology optimizes pre-diagnosis, during-diagnosis, and post-diagnosis processes in the core medical scenarios. It jointly builds a smart medical service model with hospitals to improve the efficiency of diagnosis and treatment for patients so as to enjoy high-quality whole-course and personalized medical service.