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I work with IT in a radiology department. Right now we are in the early days for AI in radiology. At our institution we use an AI algorithm to try to detect pulmonary emboli and intracranial bleeds. If it's not one of those two diagnoses, it doesn't see it. Additionally, it is currently overcalling these diagnoses at an alarming rate. It was so bad, we had to disable the AI for non-radiology clinicians because it was negatively effecting care (e.g. wasting consult time, causing people to be unnecessarily admitted, etc.). Our radiologists have very mixed opinions on it. Some of them seem to like the second eyes while others feel like they need to hedge on things the previously would not have called (and probably shouldn't be called pathology). Most of the money you pay (e.g. $2k for a CT scan) goes to the person who owns the scanner. Very little goes to the radiologist (e.g. $10 for a chest x-ray or $60 for a CT scan). The AI will have to be licensed and it will require even more computing power. Therefore, it is unclear how it will actually effect costs.
youtube AI Jobs 2020-03-07T21:4… ♥ 12
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyliability
Emotionfear
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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