Reflections on the Clinical Acceptance of Artificial Intelligence

TL;DR

This paper discusses the challenges and opportunities of integrating AI into clinical practice, proposing a pipeline model to understand acceptance barriers and highlighting peripheral opportunities for AI in healthcare workflows.

Contribution

It introduces a comprehensive pipeline model linking AI acceptance challenges to clinical workflow stages and discusses strategies to overcome these barriers.

Findings

Identification of key hindrances to AI acceptance in clinics

Mapping challenges to specific stages in the clinical-AI pipeline

Highlighting peripheral opportunities for AI in clinical workflows

Abstract

In this chapter, we reflect on the use of Artificial Intelligence (AI) and its acceptance in clinical environments. We develop a general view of hindrances for clinical acceptance in the form of a pipeline model combining AI and clinical practise. We then link each challenge to the relevant stage in the pipeline and discuss the necessary requirements in order to overcome each challenge. We complement this discussion with an overview of opportunities for AI, which we currently see at the periphery of clinical workflows.