AI-Powered Accessible Dental Care for Older Adults

OralScan uses advanced AI to detect oral health issues, providing real-time diagnostics and personalized care recommendations for seniors who cannot access regular dental care.

Dental care illustration

Accessible Dental Care Solution

Overview of OralScan

Who: Seniors who cannot access regular oral healthcare.

Where: Widespread issue but particularly prevalent in rural or low-income areas.

Why: Financial, geographic, and systemic barriers, as well as limitations in Medicare coverage.

Advanced Features for Better Care

AI-Powered Diagnostics

Leverages advanced AI models to diagnose oral issues with precision and accuracy.

Mobile Accessibility

Available on both Android and iOS platforms for convenient remote healthcare monitoring.

Smart Analysis

Detect regions of interest like caries and ulcers with AI-based segmentation in under 5 seconds.

How It Works

Capture Image

Record Consultation

Take photos of oral conditions using our guided camera system.

1
AI Analysis

AI Processing

Our advanced AI analyzes the images for potential health issues.

2
Get Results

Get Results

Receive instant feedback and personalized care recommendations.

3

Key Benefits

Early Detection

Identify oral health issues before they become serious problems.

Accessibility

Access dental care guidance from anywhere, anytime.

Cost-Effective

Reduce healthcare costs through preventive care.

Quick Results

Get instant analysis and recommendations in seconds.

AIM and Development Plan

AI Algorithm Development

We are developing a neural network algorithm that incorporates oral images to predict the risk of oral diseases by leveraging models like YOLO and SAM. Image features will be extracted using a ResNet50-based CNN.

Secure Server and Fairness Assessment

The server will handle tasks like segmentation, prediction model training, and secure data storage. We will also focus on fairness assessment through demographic representation analysis and bias mitigation techniques.

Web-Based Dashboard

A dashboard will allow administrative users to monitor system performance, bug reports, and user feedback in real-time, pulling data from the server's relational database.

Study

Demo Video

Download the OralScan App

Get the app from your preferred store:

FAQs

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.

Join Us

Contact us for more information:

Wei Bo

Wei Bo

Documentation and Writing Support

Email: weibo@buffalo.edu
Alexander Gherardi

Alexander Gherardi

Data review and annotation decisions.

Email: ajgherar@buffalo.edu
Puru Soni

Puru Soni

AI model development and Web API setup.

Email: purusoni@buffalo.edu
Kritarth Dandapat

Kritarth Dandapat

App development and UI testing.

kritarth@buffalo.edu
Dr. Rui Li's Team

Dr. Rui Li

Medical knowledge and annotation guidance.

ruili@buffalo.edu
Wenyao Xu

Wenayo Xu

Supervising Professor for the Project

wenyaoxu@buffalo.edu

Send Us a Message