Artificial Intelligence for Diagnosis in Otologic Patients: Is It Ready to Be Your Doctor?
Contemporary language-model AI platforms can generate extensive differential diagnoses with limited data input. However, doctors can refine these diagnoses through focused history-taking, physical examinations, and clinical experience-skills that current AI platforms lack.
Authors
- Jessica Forbes (ORCID: https://orcid.org/0000-0003-2475-0159)
- Luis Roldan (ORCID: https://orcid.org/0000-0002-3453-7709)
- Camryn Marshall (ORCID: https://orcid.org/0000-0003-4151-2638)
- Michael D. Seidman (ORCID: https://orcid.org/0000-0002-4494-7031)
- James Atkins
Institutions
- AdventHealth Orlando (US)
- AdventHealth Celebration (US)
- Florida Atlantic University (US)
Publication Details
- Journal
- Otology & Neurotology
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1097/mao.0000000000004267
- Citations
- 6
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.43