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.Use Cases for Disruptive Technologies that Drive Efficiencies in Stroke Care and Precision Diagnosis in Coronary Artery Disease and Lung Care
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.
Table of Contents
1. Strategic Imperatives
2. Growth Opportunity Analysis
3. Use Case - Lung Care
4. Use Case - Coronary Artery Disease
5. Use Case - Stroke Care
6. Growth Opportunity Universe
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AI-Rad Companion
- HeartFlow
- RapidAI
