AI for the people: ensuring fair health outcomes
- To highlight AI's potential to address radiologist shortages in underserved regions.
- To present case studies of successful AI deployment in low-resource settings.
- To discuss cloud-based AI solutions and their impact on remote diagnostics.
- To address challenges of dataset diversity and algorithm bias.
- To propose frameworks for equitable AI development and deployment globally.