Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods

Autor: Nancy A. Obuchowski, Ashequr Rahman, Kyle J. Myers, Abhinav K. Jha, Barry A. Siegel, Babak Saboury, Arman Rahmim, Ziping Liu
Rok vydání: 2021
Předmět:
Zdroj: PET Clinics. 16:493-511
ISSN: 1556-8598
Popis: Artificial intelligence-based methods are showing promise in medical imaging applications. There is substantial interest in clinical translation of these methods, requiring that they be evaluated rigorously. We lay out a framework for objective task-based evaluation of artificial intelligence methods. We provide a list of available tools to conduct this evaluation. We outline the important role of physicians in conducting these evaluation studies. The examples in this article are proposed in the context of PET scans with a focus on evaluating neural network-based methods. However, the framework is also applicable to evaluate other medical imaging modalities and other types of artificial intelligence methods.
Databáze: OpenAIRE