2023 Industry Perceptions Survey on AI Adoption and Return on Investment

This SIIM-sponsored 2023 report highlights an industry view on artificial intelligence adoption barriers and success related to diagnostic imaging, life sciences, and contrasts. In general, our 2023 survey indicates that there has been progress in adopting AI across multiple uses, and there continues to be an optimistic forecast for the impact on workflow and clinical outcomes. This report, as in prior years, should be seen as a snapshot of the use of AI in imaging. Compared to our 2021 survey, the 2023 respondents expressed wider AI adoption but felt this was behind the potential. Specifically, the adoption has increased as sources of return on investment with AI in radiology are better understood as documented by vendor/client use case studies. Generally, the discussions of AI solutions centered on workflow triage, visualization, detection, and characterization. Generative AI was also mentioned for improving productivity in reporting. As payor reimbursement remains elusive, the ROI discussions expanded to look at other factors, including increased hospital procedures and admissions, enhanced radiologist productivity for practices, and improved patient outcomes for integrated health networks. When looking at the longer-term horizon for AI adoption, respondents frequently mentioned that the opportunity for AI to achieve greater adoption with more complex AI and a more manageable/visible ROI is outside the USA. Respondents focused on the barriers to trust in AI and the FDA processes.

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Publication Details

Journal
Journal of Imaging Informatics in Medicine
Published
2024-08-20
DOI
https://doi.org/10.1007/s10278-024-01147-1
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

2023 Industry Perceptions Survey on AI Adoption and Return on Investment

Nina Kottler, Jennifer Sommer, Julia Patriarche, Priya Deshpande et al.
2 citations
Journal of Imaging Informatics in Medicine
Artificial Intelligence in Healthcare and Education
0.24
article

2023 Industry Perceptions Survey on AI Adoption and Return on Investment

Nina Kottler, Jennifer Sommer, Julia Patriarche, Priya Deshpande, Oliver Y. Chén, Matthew G. Geeslin, Mitchell Goldburgh, Vedrana Vujic, Michael LaChance, Joe Chapa, Julia Komissarchik, Marcus Ayers
article en
2 citations

Abstract

This SIIM-sponsored 2023 report highlights an industry view on artificial intelligence adoption barriers and success related to diagnostic imaging, life sciences, and contrasts. In general, our 2023 survey indicates that there has been progress in adopting AI across multiple uses, and there continues to be an optimistic forecast for the impact on workflow and clinical outcomes. This report, as in prior years, should be seen as a snapshot of the use of AI in imaging. Compared to our 2021 survey, the 2023 respondents expressed wider AI adoption but felt this was behind the potential. Specifically, the adoption has increased as sources of return on investment with AI in radiology are better understood as documented by vendor/client use case studies. Generally, the discussions of AI solutions centered on workflow triage, visualization, detection, and characterization. Generative AI was also mentioned for improving productivity in reporting. As payor reimbursement remains elusive, the ROI discussions expanded to look at other factors, including increased hospital procedures and admissions, enhanced radiologist productivity for practices, and improved patient outcomes for integrated health networks. When looking at the longer-term horizon for AI adoption, respondents frequently mentioned that the opportunity for AI to achieve greater adoption with more complex AI and a more manageable/visible ROI is outside the USA. Respondents focused on the barriers to trust in AI and the FDA processes.

Journal of Imaging Informatics in MedicineVol. 38(2)
Marquette University (US), University of Vermont (US), Draper Laboratory (US), NTT (Japan) (JP), University Hospitals of Cleveland (US), Radiology Associates (US), Associated Radiologists (US), Strategic Analysis (United States) (US)
Openalex Percentile: Top 41%
Artificial Intelligence in Healthcare and Education
0.24
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