Artificial intelligence (AI) is influencing healthcare in countless ways, and its impact on diagnostic imaging is one of the greatest. This is due to the dependence on visual examination, demand for increased procedures, more data analysis required per scan, error/cost reduction, and the development of specific computing tools that make AI-guided decisions far more practical.
Artificial intelligence based applications are having a significant impact on the radiology marketplace. In recent years there have been significant contributions from AI to the field of diagnostic imaging. These contributions have impacted clinical decision support, hospital operations workflows and regulation agencies. This report summarizes these changes and highlights specific examples of clinical and technical innovations that are impacting specific imaging modalities such as MR, CT, Ultrasound, X-ray and PET.
The report also consolidates AI survey data from 2021 through 2023 from selected reports from our Market Outlook report series and provides a summary of industry perceptions and use case preferences of AI in aggregate as well as broken out by modality and site type.
In addition, the report summarizes major developments from leading companies in the diagnostic imaging field as well as provides a profile of over 130 companies that are involved in the AI in diagnostic imaging industry.
Key Topics Covered in the Report are:
- AI Adoption in Diagnostic Imaging
- AI Research and Clinical Advances in Imaging
- AI Primary Data Across Modalities
- Business Landscape of AI in Radiology
- AI Regulation
This report is ideal for anyone interested in learning more about how advancements in artificial intelligence are impacting the medical diagnostic imaging market. It is a great resource for:
- Marketing Managers
- Product Managers
- Marketing Directors
- Sales Managers
Basically, anyone that works in diagnostic imaging equipment manufacturing, hospital and healthcare systems, consulting, investment or finance. This report is a great way to get a quick overview of recent developments and help to plan for what lies ahead.
Read our latest AI in imaging blog post: AI delivers clinical decision support and workflow improvements.