Can AI Eliminate Errors in Radiological Reports?

Medscape June 19, 2024
Philippe Tellier, MD

The interpretation of certain radiological exams is often difficult and time-consuming. This is particularly true for MRIs and CT scans, which are characterized by a wealth of cross-sectional images and anatomical details. Moreover, these scans are sometimes marred by artifacts. Some imaging departments have considerable workloads that make them susceptible to errors in their reports. The risk is further increased when voice dictation, which can introduce its own artifacts, is used.

In a hectic environment, careful rereading of radiologic reports does not protect against errors. Under these conditions, artificial intelligence (AI), ie ChatGPT, could provide safeguards and avoid potentially significant repercussions, including medicolegal problems. A retrospective study illustrates this potential application, which arises in addition to the already established or...

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