Digital Pathology: Roadmap to the Future of Medical Diagnosis

Digital Pathology solutions and Artificial Intelligence tools are destined to transform efficiency and workflow of Pathology services

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Digital Pathology encompasses the use of optmized pathology workstations, whole slide imaging, image analysis, image management, laboratory information management system, use of machine learning, data handling and storage. Pathology is one of the most important fields in medicine, as the service provides investigation and validation platform in lieu of a medical condition of a patient. Traditional methods of pathology involves slide preparation, traditional microscopy, result interpretation from microscopy by pathologist onto an information management system followed by physical storage of slides for a prescribed timeline. According to numerous research and surveys conducted across the world, the request for pa

Table of Contents

1.0 Executive Summary1.1 Research Objectives1.2 Research Methodology1.3 Overview of Business and Market Segmentation of Digital Pathology Industry1.4 Key Findings: Digital Pathology and Artificial Intelligence (AI)2.0 Workflow and Commercial Landscape of Digital Pathology2.1 Digital Pathology: Current Workflow and Future Possibilities2.2 Technology Segmentations of Digital Pathology2.3 Fields of Application2.4 Business Models2.5 Strategic Design Needs to Improve Commercialization3.0 Segment Assessment – Cloud Technology3.1 Impact of Cloud Technology on Digital Pathology4.0 Segment Assessment – Whole Slide Imaging4.1 Whole Slide Imaging (WSI) is Paramount to Digital Pathology4.2 Efficient WSI Integration for Improved workflow5.0 Segment Assessment – Image Analysis5.1 Image Analysis Software6.0 Segment Assessment – Artificial Intelligence6.1 Artificial Intelligence- Introduction6.2 Focus Areas of AI companies in Digital Pathology6.3 Important Advances in AI Capabilities in Digital pathology7.0 Case Study- Takeaways from Digital Pathology Adoption in a Medical Institute7.1 Smooth Transitioning Innate to Successful Adoption of Technology7.2 Digital Pathology Adoption needs a Phased Approach7.3 Strategic Technology Integration and Personnel Training pays Dividends7.4 Phased workflow implementation provides numerous benefits8.0 Drivers and Challenges8.1 Factors Affecting Adoption of AI in Digital Pathology9.0 Industry Landscape of Selected Companies9.1 Aiforia and ContextVision- Company Profile9.2 Deciphex and Indica Labs- Company Profile9.3 Barco & Inspirata- Company Profile9.4 Leica Biosystems & Flagship Biosciences- Company Profile10.0 Patent Landscape Assessment10.1 Patent Research Scope and Concepts10.2 Top 10 Patent Holding Companies in Digital Pathology Technologies10.3 Top 10 Patent Holding Educational Institutes in Digital Pathology Technologies10.4 Office-wise Distribution of Digital Pathology Patent Portfolio, 2008-2018*10.5 Year-wise Distribution of Digital Pathology Portfolio, 2008–2018*11.0 Growth Opportunities11.1 Growth Opportunity 1: Optimal use of Big Data Key for AI Advancement in Digital Pathology11.2 Growth Opportunity 2: Generation of Datasets for Validation Paramount to Overcome Regulatory Hurdles11.3 Growth Opportunity 3: Transitioning from Pharmaceutical Industry Application to Mainstream Clinical Applications12.0 Appendix12.1 Key ContactsLegal Disclaimer

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