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Growth Opportunities for Commercial AI in Medical Imaging
Use Cases for Disruptive Technologies that Drive Efficiencies in Stroke Care and Precision Diagnosis in Coronary Artery Disease and Lung Care
26-May-2022
North America
Market Research
K772-01-00-00-00
HC03542-NA-MR_26538
The use case for commercial AI in medical imaging focuses on workflow productivity and diagnostic accuracy in a radiology set up. The impending shortage of radiologists, burnout from a constantly growing imaging workload, and higher investments (by both public and private groups) favor the adoption of AI in medical imaging. Several medical imaging companies offer AI solutions that improve workflow efficiency in hospitals and imaging facilities. They have introduced innovative pricing strategies and cost-friendly AI solutions through a unified marketplace. Given the dynamics, trends, and competitive nature of the medical imaging space, it is important to obtain an overall perspective on AI solutions and workflows. This research service offers insightful analysis of the clinical application and use cases for technologies that address imaging concerns in the treatment of stroke, CAD, and lung diseases.
Author: Eishita Pal
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top Three Strategic Imperatives on AI in the Medical Imaging Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Scope of Analysis
Key Definitions
Overview of AI in Medical Imaging
Segmentation
Challenges Faced by Healthcare System
Key Challenges in Medical Imaging
AI Value Proposition in Medical Imaging Workflow
Key Challenges in Lung Care
Key Challenges in Lung Care (continued)
Use Cases for Commercially Available AI in Pulmonary Imaging
Vendor Spotlight—AI-Rad Companion
Vendor Spotlight—AI-Rad Companion in Lung Care
Vendor Spotlight—AI-Rad Companion in Lung Care (continued)
Key Challenges in Heart Care
Key Challenges in Heart Care (continued)
Current Heart Disease Care Pathway
Use Cases for Commercially Available AI in Cardiac Imaging
Use Cases for Commercially Available AI in Cardiac Imaging (continued)
Use Cases for Commercially Available AI in Cardiac Imaging (continued)
Vendor Spotlight—HeartFlow
Vendor Spotlight—HeartFlow FFRCT Use Case
Vendor Spotlight—HeartFlow in Heart Care
Key Challenges in Stroke
Key Challenges in Stroke (continued)
Key Challenges in Stroke (continued)
Use Cases for Commercially Available AI in Neuroimaging
Use Cases for Commercially Available AI in Neuroimaging (continued)
Use Cases for Commercially Available AI in Neuroimaging (continued)
Vendor Spotlight—RapidAI®
Vendor Spotlight—Stroke Patient Care Continuum
Vendor Spotlight—RAPIDAI® in Stroke Care
Vendor Spotlight—RAPIDAI® in Stroke Care
Growth Drivers
Growth Restraints
Reimbursement for AI in US Healthcare
Assessment Criteria of Healthcare Providers in the US
Growth Opportunity 1—Innovative Pricing Strategy and ROI for Commercial Viability
Growth Opportunity 1—Innovative Pricing Strategy and ROI for Commercial Viability (continued)
Growth Opportunity 2—AI Solution for Augmented Radiology Decision Support & Patient Experience
Growth Opportunity 2—AI Solution for Augmented Radiology Decision Support & Patient Experience (continued)
Growth Opportunity 3—Unified Approach for Faster Deployment in Medical Imaging
Growth Opportunity 3—Unified Approach for Faster Deployment in Medical Imaging (continued)
List of Exhibits
Legal Disclaimer
List of Figures
- Commercially Available AI Solutions for Pulmonary Imaging, US, 2022
- Commercially Available AI Solutions for Cardiac Imaging, US, 2022
- Commercially Available AI Solutions for Neuroimaging, US, 2022
- AI in Medical Imaging: Comprehensive Stroke Care Solution, US, 2022
- AI in Medical Imaging: Growth Drivers, US, 2022–2026
- AI in Medical Imaging: Growth Restraints, US, 2022–2026
- CMS-established Payment for AI, US, 2022
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