AI in Healthcare

Here we look at what medical AI can and cannot do with a lab report. Expect side-by-side comparisons of general chatbots and purpose-built tools, plain explanations of where large language models get things wrong, and realistic scenarios — uploading a PDF, asking follow-up questions, spotting a value that needs a human. The aim is to set honest expectations rather than sell a miracle, because your results deserve more than a confident guess.

This is for curious readers weighing whether to trust an app with their numbers, not just engineers. We are building one of these tools ourselves, so we are candid about the trade-offs: what speeds up understanding, what still needs a clinician, and where privacy and accuracy matter most. Nothing here diagnoses you or replaces professional care — it helps you use these tools with clear eyes.