When my teenage son developed mysterious symptoms, I followed the same path anyone else would: I put his health in the hands of a team of medical professionals. Multiple myeloma is a rare blood cancer. It is so uncommon in 17-year-olds that it doesn’t appear on diagnostic checklists. Despite having no clear starting point to work from, my son’s doctors worked their way to an accurate diagnosis through a process of trial and error, bouncing ideas off each other and testing and discarding hypotheses until they could tell us what was wrong. The process felt inefficient and uncertain at a time when I wanted fast answers and cast-iron guarantees. But this messy and distinctively human approach saved my son’s life.

AI promises to improve processes like this, replacing the fallible and unpredict

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