This document discusses using artificial intelligence in diagnostics. It notes that 2.5 billion gigabytes of data are produced daily, and 80% of the world's population lives in low-income communities. AI shows potential to improve diagnostics by analyzing large amounts of data and enhancing accessibility and accuracy of diagnoses. Examples discussed include using AI to detect diabetic retinopathy from eye scans and to assess risk of major depressive disorder from social media posts. Overall, the document examines how AI models can be developed and improved to better serve global healthcare needs.