Integration of AI-generated clinic letters in complex paediatric neurosurgery outpatient settings
Lyrebird AI-generated clinic letters increased readability whilst maintaining clinical accuracy. Future work should focus on time, effort, and cost saving analysis. Presently, the findings of this study provide validation of Lyrebird AI for complex, multi-stakeholder clinical settings.
Authors
- Anusha Hennedige (ORCID: https://orcid.org/0000-0002-4893-5337)
- Mohamed Elmolla
- Vejay N. Vakharia (ORCID: https://orcid.org/0000-0002-9476-4225)
- Christian A. Duncan
- Ahmad M. S. Ali
- Anjum Aarifa Khanom
Institutions
- University of Liverpool (GB)
- Walton Centre (GB)
- Aintree University Hospital (GB)
- Alder Hey Children's NHS Foundation Trust (GB)
Publication Details
- Journal
- Child s Nervous System
- Published
- 2026-02-19
- DOI
- https://doi.org/10.1007/s00381-026-07171-6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00