Estimate the yearly worldwide X-ray count to size an AI image-analysis service

Estimate how many X-rays are taken around the world in one year. Context: Google has announced that its AI can analyze X-rays about as well as a human radiologist. The longer-term vision is a cloud service where a clinic anywhere in the world uploads an X-ray and receives an analysis that matches or beats a radiologist's, improving diagnosis, rare diseases included. Planning the infrastructure for such a service starts with a sound estimate of global X-ray volume. Walk through how you structure the estimate, label every assumption, and finish with a number and a range. ```hint Avoid one world average A single global rate per person hides the factor that most changes how often people get X-rays; split the population so that each group's rate is something you can reason about. ``` ### Clarifying Questions - Which procedures count: plain films such as chest and limb X-rays only, or also dental X-rays, mammograms and CT scans? - Should the answer count exams (one patient procedure) or individual images, given that one exam often produces several? - Is one global total enough for infrastructure planning, or is a split by region needed? ### What a Strong Answer Covers - A clear unit and scope, settled before any arithmetic - A split of the world's population that captures the biggest driver of X-ray use, with a rate for each group - Labeled, round assumptions with a short rationale, and arithmetic that is correct and unit-consistent - A sanity check from an independent angle, and a final range - What the estimate implies for the cloud service's capacity ### Follow-up Questions - Which assumption moves your total the most, and how would you tighten it with data? - How would you turn your yearly count into peak uploads per second and storage per year? - How do you expect the number to change over the next decade, and where would the growth come from?