The theoretical impact of AI-based quality evaluation of short-video health information on public cognition and treatment adherence: a case study of denosumab combined with PD-1/PD-L1 therapy for lung cancer bone metastasis.

ABSTRACT:

Background

Bone metastasis occurs in 30-40% of patients with advanced non-small cell lung cancer (NSCLC), and denosumab combined with PD-1/PD-L1 inhibitors has emerged as a promising treatment strategy. However, the "algorithmic echo chamber" effect on short-video platforms may distort patient cognition and treatment decision-making.

Methods

A cross-sectional study was conducted using a custom-developed web crawler to collect 1,369 videos from Bilibili, Douyin, and Xiaohongshu. A total of 402 videos were included after a three-tier keyword filtering process. An AI-based evaluation system built upon the doubao-seed-1.6 model was established, integrating three international standards-Global Quality Score (GQS), Journal of the American Medical Association (JAMA) benchmark crite

SUBMITTER: Wang JW 

PROVIDER: S-EPMC12816342 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature