Doctors Identify Hemorrhage Better during Chart Review when Assisted by Artificial Intelligence.

ABSTRACT:

Objectives

This study evaluated if medical doctors could identify more hemorrhage events during chart review in a clinical setting when assisted by an artificial intelligence (AI) model and medical doctors' perception of using the AI model.

Methods

To develop the AI model, sentences from 900 electronic health records were labeled as positive or negative for hemorrhage and categorized into one of 12 anatomical locations. The AI model was evaluated on a test cohort consisting of 566 admissions. Using eye-tracking technology, we investigated medical doctors' reading workflow during manual chart review. Moreover, we performed a clinical use study where medical doctors read two admissions with and without AI assistance to evaluate performance when using and perception of using th

SUBMITTER: Laursen MS 

PROVIDER: S-EPMC10511273 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature