Growth Opportunities for Commercial AI in Medical Imaging

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

RELEASE DATE
26-May-2022
REGION
North America
Research Code: K772-01-00-00-00
SKU: HC03542-NA-MR_26538
$2,450.00
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HC03542-NA-MR_26538
$2,450.00

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Description

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

Table of Contents

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

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Related Research
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
More Information
Author Eishita Pal
Industries Healthcare
No Index No
Is Prebook No
Podcast No
WIP Number K772-01-00-00-00