Common human typing errors can trip up artificial intelligence (AI) programs designed to aid health care workers by reviewing health records, a new MIT study says.
Typos and extra white spaces can interfere with AI's ability to properly analyze patient records, researchers reported this week at an Association for Computing Machinery conference in Athens, Greece.
Missing gender references or the use of slang also can foul up an AI's treatment recommendations, researchers point out.
These human mistakes or language choices increased the likelihood that an AI would recommend that a patient self-manage their health problem rather than seek an appointment, results show.
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