Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds.
Akihiko WadaToshiaki AkashiGeorge ShihAkifumi HagiwaraMitsuo NishizawaYayoi HayakawaJunko KikutaKeigo ShimojiKatsuhiro SanoKoji KamagataAtsushi NakanishiShigeki AokiPublished in: Diagnostics (Basel, Switzerland) (2024)
Strategic prompt engineering and high confidence thresholds significantly reduce misdiagnoses and improve the precision of the LLM diagnostic in neuroradiology. More research is needed to optimize these approaches for broader clinical implementation, balancing accuracy and utility.