2022 Artificial Intelligence in the Imaging Landscape in the United States Report with GE Healthcare, Philips Healthcare and Siemens Healthineers Dominating - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in the Imaging Landscape in the U.S - 2022 Report" report has been added to ResearchAndMarkets.com's offering.

Artificial intelligence (AI)-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.

In the past several years, there has been substantial progress in developing AI programs to aid clinicians in their usage of diagnostic medical images. Two key areas where AI programs have made significant contributions are clinical decision support and workflow process improvements.

Clinical decision support

The rate of research and development for new clinical applications of AI is significant and widespread. There are clinical AI programs available for all major diagnostic imaging modalities.

Some sets of AI program features that have been utilized across modalities are image quality improvements, lesion detection, and image analysis. Image quality improvement features focus on enhancing image reconstruction, image noise reduction, error reduction, and obtaining high-quality images with lower radiation doses.

Lesion detection features enable early detection of tumors and lesions and disease screening. Image analysis features can deliver faster image interpretations, measure and mark lesions, quantify tumor volume, classify abnormalities, diagnose micrometastases, and segment anatomy. The list of new capabilities and applications of these capabilities to new medical conditions and use cases seems to grow daily.

Workflow process improvements

The increased volume and complexity of imaging studies are contributing to radiologist burnout. AI programs focused on improving image processing time, radiologist reading workflow, scheduling, and patient communication can help alleviate these factors.

Two approaches that have been successfully implemented are to use an AI algorithm to triage imaging exams so that radiologists can focus on the most urgent studies. This approach has been used to decrease recall rates and the daily reading lists for radiologists.

Another approach that has been implemented improves the standardization of data and hanging protocols. This has created efficiency improvements for radiologists by allowing them to focus more on reading patient exams.

The integration of AI technology into the field of radiology is yielding new ways of generating information from medical images and improved processes for managing the challenges this new volume of information creates. As these advances continue and as these tools gain wider adoption in practice, the potential for improvements to patient care is substantial.

The Artificial Intelligence in Imaging Landscape 2022 Report explores recent advances at the intersection of artificial intelligence and medical diagnostic imaging. The report covers innovations and applications of AI technology in imaging and the companies that are active in this market.

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 Artificial Intelligence in Imaging Landscape 2022 Report was published in October 2022 and is based on secondary research and primary research from recent market outlook reports. Vendors covered in this report include GE, Philips, Siemens, and more.

The report also consolidates AI survey data from the analyst's Market Outlook report series and provides a summary of industry perceptions of AI across modalities.

In addition, the report summarizes major developments from leading companies in the diagnostic imaging field as well as provides a profile of over 125 companies that are involved in AI in the Imaging landscape.

Key Topics Covered in the Report are:

• Clinical Decision Support
• Workflow
• AI Clinical Applications in Imaging
• Advanced AI Research in Imaging
• Radiology AI Adoption
• Factors Affecting Future Outlook
• Top-ranked Potential Uses for AI Applications
• Professional Acceptance
• AI Market Approval Processes
• FDA and AI Regulation
• FDA AI Program Approvals
• Emerging Imaging Company Leaders in AI
• Profiles of Companies Involved in Imaging AI

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
• Analysts

That work in diagnostic imaging equipment manufacturing, hospital and healthcare systems, consulting, investment and finance industries. This report is a great way to get a quick overview of recent developments and help to plan for what lies ahead.

The Report Provides Coverage on:

EXECUTIVE SUMMARY

• Alin MEDICAL IMAGING
• Clinical Decision Support
• Workflow
• Al Clinical Applications in Imaging
• Advanced Al Research in Imaging
• MR Imaging
• CT Imaging
• Ultrasound Imaging
• X-ray Imaging
• PET imaging
• Radiology Al Adoption
• Factors Affecting Future Outlook
• Top-ranked Potential Uses for Al Applications
• Professional Acceptance
• Al Market Approval Processes
• FDA and Al Regulation
• FDA AJ Program Approvals
• CE Mark and Al
• Other Global Al Collaborators

IMAGING SYSTEM AI COMPANIES

• Emerging Imaging Company Leaders in Al
• GE Healthcare
• Philips Healthcare
• Siemens Healthineers
• Profiles of Companies Involved in Imaging Al

CONCLUSION

For more information about this report visit https://www.researchandmarkets.com/r/44vblz