Green Level High School students advance RadiAid app to national science competition finals
Five students from Green Level High School created an app that uses artificial intelligence to detect osteosarcoma, a bone cancer most common in children and young adults. The team-Hasini Kanthi, Isaac Yuan, Hila Belinson, Sathvik Talluri, and Jacob Iwaniw-won a regional award from the Toshiba ExploraVision National Science Competition and now compete for the national title.
RadiAid analyzes radiograph scans to identify osteosarcoma. The tool addresses a real gap in global healthcare: while diagnostic scans are readily available in the United States, they remain expensive and difficult to access in rural areas, often resulting in delayed diagnoses.
How the project started
Kanthi began researching osteosarcoma treatment about a year ago. She drove to Duke University and knocked on doctors' doors until she found Dr. Eward, who became a core advisor to the project.
Kanthi then recruited classmates interested in engineering and biotechnology. "There was a recruiting process and we were handpicked by Hasini herself," said Talluri, the team's youngest member at the junior level.
Next steps
The students aim for FDA approval within four to five years, then deploy the technology to low-resource clinics. "We're young but we're serious about this and we're building this to change lives," said team member Jacob Iwaniw.
The regional award ceremony takes place March 24. The National Science Teaching Association will announce national winners on April 28.
For educators interested in how students apply AI for healthcare or AI for science and research, this project demonstrates practical problem-solving in a competitive academic setting.
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