Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case.

ABSTRACT: Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential to alleviate the burden of health services worldwide and to improve the accuracy and reproducibility of predictions. In particular, developments in computer vision are creating a paradigm shift in the analysis of radiological images, where AI tools are already capable of automatically detecting and precisely delineating tumours. However, such tools are generally developed in technical departments that continue to be siloed from where the real benefit would be achieved with their usage. Significant effort still needs to be made to make these advancements available, first in academic clinical research and ultimately in the clinical setting. In this paper, we demonstrate a prototype pipeline base

SUBMITTER: Escudero Sanchez L 

PROVIDER: S-EPMC10486639 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature