FerryLive has officially entered rural primary schools in Gansu to launch a campus AI oral-health public screening pilot. The first phase covered nearly 1,000 students across several local primary schools. Built on in-house oral AI recognition technology and a standardized on-site data collection process, the project provides one-stop preliminary oral assessments for children while creating a school-ready health management workflow that can be replicated in similar schools nationwide.

Children's oral health is often overlooked in basic public health services. In rural areas, professional dental resources are relatively limited and routine checks are infrequent, making caries, abnormal dentition development, and poor brushing habits harder to detect early. This project brings AI-powered preliminary screening into schools, shifting oral-health management from treatment after problems appear toward early screening, early reminders, and early intervention.

The Gansu campus pilot focuses on three areas: routine basic oral screening, school-based health education, and personalized follow-up after screening. Rather than treating the activity as a formality, the team brings professional oral screening directly to schools so rural children can access accurate and convenient AI oral-health services without leaving campus.

During on-site execution, students completed oral image capture, basic information registration, AI-assisted recognition, and result archiving by class. For suspected caries, eruption abnormalities, insufficient tooth-surface cleaning, and other findings, the system creates structured records for follow-up communication among schools, parents, and partner medical institutions.

Beyond screening, the FerryLive team provided interactive oral-health education tailored to primary-school students. Sessions covered correct brushing, sugar intake control, tooth replacement, and the importance of regular dental checks, helping children turn abstract health knowledge into daily habits.

This pilot is both a public-service screening initiative and an important practice for FerryLive to validate AI oral-health services in grassroots settings. Through data collection, workflow coordination, and feedback in real school environments, the team will further optimize model recognition, on-site operating standards, and report presentation.

FerryLive will continue tracking phase data and implementation outcomes from the Gansu pilot. Working with local schools, education organizations, and medical partners, the team will keep improving on-site screening workflows, upgrading AI recognition models, and refining solutions that fit real needs.