Health
The proposed Health project is initially targeting the improvement of diagnostics and healthcare delivery in underserved hospitals in Malawi and Zambia. By deploying AI tools that analyze digital X-rays and CT scans, we aim to reduce diagnostic errors, enhance patient outcomes, and streamline medical workflows. We anticipate hospitals will be able to do more, at less expense, and with higher quality.ย ย
Current Work & Achievements
Initial visits to a Zambian hospital (partially supported by Cross International) revealed digital X-ray and CT scan machines that could benefit from AI integration. Photos depict:ย
- Above a patient receiving an X-ray, and below a hospital doctor observing a digital image and speaking with our Dr. S.ย ย
- AI-driven image reading and diagnostic system could access from the AI4Good2 Cloud. We are currently gathering partnerships and funding to create a pilot program that will begin testing AI-based imaging analysis. The goal is to have this AI pilot experiment operating later this year.ย
Challenges & Needs
Constraints include limited specialist availability, inconsistent electricity, and internet connectivity issues that hinder real-time AI analysis. Needed resources include:ย
Funding to over operational expenses and secure data storage, etc.ย
Medical AI Software Partnerships to provide FDA approved services via the Cloud.ย
Training for healthcare workers to interpret AI-generated insights effectively.ย
Future Vision & Expansion
Looking ahead, we plan to:ย
- Scale AI-assisted diagnostics to additional hospitals, easing the strain on overworked medical staff.ย
- Introduce remote consultation platforms, connecting local clinicians with specialists worldwide.ย
- Integrate predictive analytics to proactively identify and manage potential disease outbreaks.ย