Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study.

ABSTRACT:

Objectives

Artificial intelligence (AI)-based clinical decision support systems to aid diagnosis are increasingly being developed and implemented but with limited understanding of how such systems integrate with existing clinical work and organizational practices. We explored the early experiences of stakeholders using an AI-based imaging software tool Veye Lung Nodules (VLN) aiding the detection, classification, and measurement of pulmonary nodules in computed tomography scans of the chest.

Materials and methods

We performed semistructured interviews and observations across early adopter deployment sites with clinicians, strategic decision-makers, suppliers, patients with long-term chest conditions, and academics with expertise in the use of diagnostic AI in radiology setti

SUBMITTER: Faric N 

PROVIDER: S-EPMC10746311 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature