The radiology community needs an ethical framework to help steer technological development, influence how different stakeholders respond to and use artificial intelligence (AI), and implement these tools to make best decisions and actions for, and increasingly with, patients.
That is according to a multi-society statement on ethics surrounding AI in radiology which has been published simultaneously in the Journal of the American College of Radiology, Radiology, Insights into Imaging and the Canadian Association of Radiologists Journal.
The aspirational statement focuses on three major areas: data, algorithms and practice, with its authors stressing the ethical use of AI in radiology should promote well-being and minimise harm resulting from potential pitfalls and inherent biases.
The authors also stress that AI in radiology should be appropriately transparent and highly dependable and curtail bias in decision-making and ensure that responsibility and accountability remain with human designers or operators.
As radiologists will "remain ultimately responsible for patient care," the statement says they will need to acquire new skills to do their best for patients in the new AI ecosystem.
“Radiology’s goal should be to derive as much value as possible from the ethical use of AI, yet resist the lure of extra monetary gain from unethical uses of radiology data and AI,” it adds.