aceEvaluation of an Artificial Intelligence-Driven Language Model for Age-Specific Patient Education in Pediatric Orthopaedics
Background: Describing complex orthopaedic surgical procedures and diagnoses to pediatric patients across a large age range and at varying levels of health literacy can be quite challenging. Generative artificial intelligence (GenAI) offers a potential solution by providing real-time age specific explanations for pediatric patients. The use of GenAI large language models (LLMs) could potentially allow providers to more effectively communicate complex medical problems in an age-appropriate and comprehensible mann…
ChatGPT-4 produced explanations that became progressively less readable for older age prompts, and seven pediatric orthopaedic surgeons rated their accuracy highly and felt comfortable using them in clinical settings.
Evidence
- Peer-reviewedJournal of the Pediatric Orthopaedic Society of North America2026-08-21
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Truvace Impact Record TRV-2026-1604, v1: “Evaluation of an Artificial Intelligence-Driven Language Model for Age-Specific Patient Education in Pediatric Orthopaedics.” Truvace, 2026-10-16. /record/TRV-2026-1604 (accessed at citation time). sha256 aa4ea7261790e5f2…
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