Researchers from the Los Angeles-based University of Southern California developed an artificial intelligence tool to remove uncertainty from medical diagnosis.
Here are four things to know about this software:
- The software tracks the clinician’s decision-making process to provide suggestions for diagnosis and diagnostic tests in the clinician’s interface of the EHR
- It can suggest a cost-effective path to the clinician.
- The suggestions would be in coded formats that only need to be selected instead of relying on free text to type it in, which can cause errors and inconsistencies.
- The software grows automatically and does not require expert updating or correction.
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