AI-driven patient-centered care: A digital transformation framework for gynecologic cancer genetic counseling.

ABSTRACT: ObjectivesThis study evaluates artificial intelligence (AI) reasoning capabilities in gynecologic cancer genetic counseling, comparing the performance of ChatGPT and DeepSeek models to guide patient-centered AI implementation in clinical genetics.MethodsUsing 40 National Comprehensive Cancer Network-aligned counseling scenarios, we conducted blinded dual-oncologist evaluations of two large language models. Methodological rigor included model anonymization, a pre-calibrated scoring framework, and validated metrics (Global Quality Scale and Patient Education Materials Assessment Tool) assessing informational coherence, understandability, and actionability.ResultsDeepSeek demonstrated superior informational breadth (mean character difference: -609.0, p < .0001) and visual communication

SUBMITTER: Yang R 

PROVIDER: S-EPMC12816523 | biostudies-literature | 2026 Jan-Mar

REPOSITORIES: biostudies-literature