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Advanced Visualization Technologies Improving Medical Imaging and Diagnosis

Advanced Visualization Technologies Improving Medical Imaging and Diagnosis

Impact of Breakthrough Advanced Visualization Innovations on the Medical Imaging Market

RELEASE DATE
27-Dec-2019
REGION
Global
Deliverable Type
Technology Research
Research Code: D93D-01-00-00-00
SKU: HC03252-GL-TR_23949
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HC03252-GL-TR_23949

Advanced Visualization Technologies Improving Medical Imaging and Diagnosis
Published on: 27-Dec-2019 | SKU: HC03252-GL-TR_23949

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Description

Conventional visualization methods that depend on two-dimensional (2D) medical images have been fraught with challenges such as difficulty in interpreting the information due to the static nature of the content and lack of availability of volumetric data. To address these limitations, imaging preferences of the medical community are shifting toward technologies that offer improved measurement precision, enhanced depth of imaging structures, shortened scan time, improved clinical productivity, capturing of hard to image anatomical areas and systems that provide higher diagnostic confidence.This research service (RS) highlights the innovations in advanced visualization platforms, including artificial intelligence (AI)-based systems, three-dimensional (3D) imaging, and other technologies, such as augmented reality (AR), virtual reality (VR), and 3D printing.
The report showcases the application of these technologies in areas such as cardiology, neurology, and also for surgical planning and intraoperative procedure assistance. It also discusses the impact of these innovations, funding, drivers and challenges, and future growth opportunities.

Table of Contents

1.1 Scope of the Research

1.2 Research Methodology

1.2 Research Methodology (continued)

1.3 Key Findings

2.1 Changing Dynamics in Advanced Visualization

2.2 Number of CT and MRI Exams, by Major Countries

3.1 Technology Segments in Advanced Visualization

3.1.1 Artificial Intelligence-based Visualization Systems for Medical Imaging

3.1.2 AI-based Visualization Systems for Cardiovascular Imaging

3.1.3 AI-based Visualization Systems for Lung Imaging

3.1.4 AI-based Visualization Systems for Neurological Imaging-Dementia Diagnosis

3.1.5 AI-based Visualization Systems for Neurological Imaging-Stroke Diagnosis

3.1.6 AI-based Visualization Systems for Breast Imaging

3.1.7 AI-based Visualization Systems for Bone Imaging

3.2 Technology Segments in Advanced Visualization

3.2.1 Improving Radiological Diagnosis and Surgical Planning through 3D Imaging

3.2.2 Enhanced Breast Specimen Visualization through 3D Imaging

3.2.3 3D Image Visualization Platforms for Faster Exam Read Times

3.3 Technology Segments in Advanced Visualization

3.3.1 Improved Understanding of Human Anatomy Variations through Other Advanced Visualization Technologies

3.3.1.2 Augmented Reality (AR) Platforms for Intraoperative Procedure Assistance

3.3.1.3 AR Platforms for Enhanced Surgical Planning

3.3.2.2 Immersive Pre-operative Planning through Virtual Reality Systems

3.3.3.2 Developing Anatomical Models through 3D Printing for Pre-procedural Planning

4.1 Impact of Technology Accelerators and Challenges

4.1.1 Superior Specificity and Image Processing Capabilities to Aid Market Adoption

4.1.2 Cyber Security Issues and Product-associated Challenges to Impede Systems Use

4.2 Impact of Market Accelerators and Challenges

4.2.1 Expanding Therapeutic Applications and Financing Support to Drive Market Growth

4.2.2 Cumbersome Regulations and Clinicians Workforce Shortfall to hinder Systems Adoption

5.1 Assessment of Federal Funding for Advanced Visualization Platforms

5.1 Assessment of Federal Funding for Advanced Visualization Platforms (continued)

5.2 AI-based Medical Imaging Platforms Receive Maximum Funding Compared to AR, and VR Visualization Systems

5.3 Assessment of Key Partnerships Involving Advanced Visualization Companies

5.4 Growth Opportunities for AI-based Visualization Platforms

5.5 Strategic Recommendations

6.1 Key Industry Contacts

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Conventional visualization methods that depend on two-dimensional (2D) medical images have been fraught with challenges such as difficulty in interpreting the information due to the static nature of the content and lack of availability of volumetric data. To address these limitations, imaging preferences of the medical community are shifting toward technologies that offer improved measurement precision, enhanced depth of imaging structures, shortened scan time, improved clinical productivity, capturing of hard to image anatomical areas and systems that provide higher diagnostic confidence.This research service (RS) highlights the innovations in advanced visualization platforms, including artificial intelligence (AI)-based systems, three-dimensional (3D) imaging, and other technologies, such as augmented reality (AR), virtual reality (VR), and 3D printing. The study showcases the application of these technologies in areas such as cardiology, neurology, and also for surgical planning and intraoperative procedure assistance. It also discusses the impact of these innovations, funding, drivers and challenges, and future growth opportunities.
More Information
Deliverable Type Technology Research
No Index No
Podcast No
Author Neeraj Nitin Jadhav
Industries Healthcare
WIP Number D93D-01-00-00-00
Is Prebook No