IS in Healthcare

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Paper Number

2515

Paper Type

Completed

Description

Artificial intelligence (AI) applications are particularly promising in the field of medical imaging. Especially in radiology, research presents various AI uses cases, highlighting AI applications' potential to improve the quality and efficiency of healthcare. Further, despite numerous research projects of AI applications, an investigation from the real-world, practice-based point of view regarding AI applications is lacking. Consequently, little is known about medical imaging specialists’ perspective on AI applications. Following the Grounded Theory Methodology, we conducted 15 semi-structured interviews with medical imaging specialists. We derived four opportunities and five concerns representing medical imaging specialists’ perspective on AI applications.

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Dec 12th, 12:00 AM

Artificial Intelligence in Radiology – A Qualitative Study on Imaging Specialists’ Perspectives

Artificial intelligence (AI) applications are particularly promising in the field of medical imaging. Especially in radiology, research presents various AI uses cases, highlighting AI applications' potential to improve the quality and efficiency of healthcare. Further, despite numerous research projects of AI applications, an investigation from the real-world, practice-based point of view regarding AI applications is lacking. Consequently, little is known about medical imaging specialists’ perspective on AI applications. Following the Grounded Theory Methodology, we conducted 15 semi-structured interviews with medical imaging specialists. We derived four opportunities and five concerns representing medical imaging specialists’ perspective on AI applications.

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