Artificial Intelligence for Diagnosis in Otologic Patients: Is It Ready to Be Your Doctor?

Journal: Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
PMID:

Abstract

OBJECTIVE: Investigate the precision of language-model artificial intelligence (AI) in diagnosing conditions by contrasting its predictions with diagnoses made by board-certified otologic/neurotologic surgeons using patient-described symptoms.

Authors

  • Camryn Marshall
    Charles E. Schmidt College of Medicine at Florida Atlantic University, Boca Raton, Florida.
  • Jessica Forbes
    Charles E. Schmidt College of Medicine at Florida Atlantic University, Boca Raton, Florida.
  • Michael D Seidman
  • Luis Roldan
    Advent Health Orlando, Orlando, Florida.
  • James Atkins
    Neurotology Advent Health Celebration, Celebration, Florida.