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Reliability of a generative artificial intelligence tool for pediatric familial Mediterranean fever: insights from a multicentre expert survey.

Saverio La BellaMarina AttanasiAnnamaria PorrecaArmando Di LudovicoMaria Cristina MaggioRomina GallizziFrancesco La TorreDonato RiganteFrancesca SosciaFrancesca Ardenti MoriniAntonella InsalacoMarco Francesco NataleFrancesco ChiarelliGabriele SimoniniFabrizio De BenedettiMarco GattornoLuciana Breda
Published in: Pediatric rheumatology online journal (2024)
AI has promising implications in pediatric rheumatology, including early diagnosis and management optimization, but challenges persist due to uncertain information reliability and the lack of expert validation. Our survey revealed considerable inaccuracies and incompleteness in AI-generated responses regarding FMF, with poor intra- and extra-rater reliability. Human validation remains crucial in managing AI-generated medical information.
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