About OralScan

OralScan combines AI-driven diagnostics with a user-friendly mobile platform tailored for seniors and underserved populations. It uses smartphone cameras to capture intraoral images, enabling detection of oral health issues like cavities, gingivitis, and ulcers. It bridges healthcare gaps by providing real-time diagnostic feedback and self-care recommendations or professional care alerts.

OralScan integrates advanced AI diagnostics with mHealth accessibility, focusing on equity. Challenges like consistent image quality and biases in AI algorithms were addressed with advanced image quality assessments and fairness-aware AI, ensuring reliable diagnostics across diverse demographics.

Existing solutions like telemedicine apps and AI tools (e.g., AICaries9) focus on specific aspects but lack comprehensive oral health screening. OralScan fills this gap with robust datasets and real-time, at-home assessments.

Technological Impact: Real-time diagnostics, unique datasets, and EHR integration enable remote patient monitoring and optimize resources.

Societal Impact: Empowers underserved populations with accessible tools, encourages proactive oral health behaviors, and promotes healthcare equity.

• Wei Bo: Data preparation, detailed annotation.
• Alexander Gherardi: Data review and annotation decisions.
• Puru Soni: AI model development and Web API setup.
• Kritarth Dandapat: App development and UI testing.
• Dr. Rui Li: Medical knowledge and annotation guidance.

Conduct usability testing, refine app features, and integrate EHR systems. The commercialization strategy includes partnerships with healthcare providers and community organizations, licensing agreements, and outreach to investors.