"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 unpredictable human mind with the analytic power of trained and tested algorithms."
A teenage patient received a correct diagnosis through iterative, collaborative clinical reasoning despite unclear initial signs, and a messy human process ultimately saved his life. AI can improve workflows by applying analytic power and reducing inefficiency. Evidence from a Lancet Gastroenterology & Hepatology study shows physicians who used AI support experienced significant declines in unassisted diagnostic performance after withdrawal, indicating deskilling. Similar cognitive offloading effects appear with extensive GPS use and easy access to information. Many accept such cognitive losses for convenience, but widespread replacement of human judgment risks hidden costs that require careful evaluation.
Read at Fast Company
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