A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons.

ABSTRACT:

Background

Surgeons who receive reliable feedback on their performance quickly master the skills necessary for surgery. Such performance-based feedback can be provided by a recently-developed artificial intelligence (AI) system that assesses a surgeon's skills based on a surgical video while simultaneously highlighting aspects of the video most pertinent to the assessment. However, it remains an open question whether these highlights, or explanations, are equally reliable for all surgeons.

Methods

Here, we systematically quantify the reliability of AI-based explanations on surgical videos from three hospitals across two continents by comparing them to explanations generated by humans experts. To improve the reliability of AI-based explanations, we propose the strategy of tra

SUBMITTER: Kiyasseh D 

PROVIDER: S-EPMC10063640 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature