Translatability Analysis of National Institutes of Health-Funded Biomedical Research That Applies Artificial Intelligence.

ABSTRACT:

Importance

Despite the rapid growth of interest and diversity in applications of artificial intelligence (AI) to biomedical research, there are limited objective ways to characterize the potential for use of AI in clinical practice.

Objective

To examine what types of medical AI have the greatest estimated translational impact (ie, ability to lead to development that has measurable value for human health) potential.

Design, setting, and participants

In this cohort study, research grants related to AI awarded between January 1, 1985, and December 31, 2020, were identified from a National Institutes of Health (NIH) award database. The text content for each award was entered into a Natural Language Processing (NLP) clustering algorithm. An NIH database was also used to ex

SUBMITTER: Eweje FR 

PROVIDER: S-EPMC8787619 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature