A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis.
Adil SalihuDavid MeierNathalie NoirclercIoannis SkalidisSarah Mauler-WittwerFrederique RecordonMatthias KirschChristan RoguelovAlexandre BergerXiaowu SunEmmanuel AbbeCarlo MarcucciValentina RancatiLorenzo RosnerEmanuelle ScalaDavid C RotzingerMarc HumbertOlivier MullerHenri LuStephane FournierPublished in: EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology (2024)
The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.
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