Authors: Rayner Kay Jin Tan, Dilruk Perera, Salomi Arasaratnam, Yudara Kularathne

Published on: April 23, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2404.16885

Summary

• What is new: Development of a digital screening test for symptomatic Monkeypox using AI through a smartphone app.
• Why this is important: Limited tools for quick, accessible screening of Monkeypox amidst a global outbreak.
• What the research proposes: Utilization of a smartphone app leveraging AI to screen for Monkeypox by analyzing images for symptoms.
• Results: Achieved 87% accuracy to rule in Monkeypox and 90% accuracy to rule out symptomatic Monkeypox.

Technical Details

Technological frameworks used: Modified convolutional neural network

Models used: nan

Data used: 22,000 user-downloaded app, 21,000 analyzed images, and 1,000 Mpox related images for training

Potential Impact

Healthcare providers, telemedicine services, digital health apps, and public health surveillance systems

Want to implement this idea in a business?

We have generated a startup concept here: SymCheck AI.