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Thoracic Radiologists' Versus Computer Scientists' Perspectives on the Future of Artificial Intelligence in

Adam E M Eltorai¹, Alexander K Bratt², Haiwei H Guo³

¹Brown University Alpert Medical School, Providence, RI.

Journal of Thoracic Imaging

|October 15, 2019

Summary

Artificial intelligence (AI) in radiology is viewed positively by both radiologists and computer scientists. While most do not foresee obsolescence, computer scientists are more likely to predict significant long-term changes for radiologists.

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Area of Science:

Radiology
Artificial Intelligence
Medical Imaging
Computer Science

Background:

Intense interest surrounds the application of artificial intelligence (AI) in radiology.
The study investigates the perspectives of thoracic radiologists and computer science (CS) experts on AI's role and impact.

Purpose of the Study:

To assess thoracic radiologists' views on AI's role and expected impact in radiology.
To compare these perspectives with those of CS experts involved in AI development.

Main Methods:

An online survey was distributed to chest radiologists and CS experts at leading academic institutions.
The survey compared expectations regarding AI's influence on radiologists' jobs, job satisfaction, salary, and societal role.

Main Results:

Computer scientists reported reading more AI/machine learning articles than radiologists.
Both groups are optimistic about AI in radiology, expecting job satisfaction, salaries, and societal roles to remain stable or improve.
A minority of CS experts (15.6%) predict radiologist obsolescence in 10-20 years, compared to 3.2% of radiologists.

Conclusions:

Thoracic radiologists and CS experts share a generally positive outlook on AI's impact in radiology.
While a small minority of CS experts anticipate radiologist obsolescence in the long term, both groups are optimistic about job satisfaction, salary, and societal roles.
This study provides a snapshot of expert perceptions regarding AI in radiology for future comparison.