2023 Industry Perceptions Survey on AI Adoption and Return on Investment.

Area of Science:

• Medical Artificial Intelligence
• Diagnostic Imaging Technologies
• Health Informatics

Background:

• Industry reports track artificial intelligence (AI) adoption trends in healthcare.
• Previous surveys (e.g., 2021) established baseline adoption rates and perceived potential.
• Understanding AI's impact on workflow and clinical outcomes is crucial for healthcare advancement.

Purpose of the Study:

• To present the 2023 industry perspective on AI adoption barriers and successes in diagnostic imaging, life sciences, and contrast media.
• To compare current AI adoption trends with previous survey data (2021).
• To identify key drivers and challenges influencing AI implementation and return on investment (ROI) in medical imaging.

Main Methods:

• A 2023 industry survey was conducted.
• Data collected focused on AI adoption, perceived benefits, challenges, and future outlook.
• Responses were analyzed to identify trends in AI use within diagnostic imaging and related fields.

Main Results:

• Wider AI adoption was reported in 2023 compared to 2021, though perceived as lagging behind potential.
• AI solutions commonly focused on workflow triage, visualization, detection, characterization, and reporting productivity (including generative AI).
• Return on investment (ROI) discussions expanded beyond direct reimbursement to include hospital procedures, radiologist productivity, and patient outcomes, with significant opportunities noted outside the USA.

Conclusions:

• AI adoption in imaging is progressing, with growing understanding of its ROI through use cases.
• Barriers to trust in AI and regulatory processes (e.g., FDA) remain significant challenges.
• Future AI adoption and ROI realization may be more pronounced internationally, particularly for complex AI applications.