1.1 Scope of Research

1.2 Research Methodology

1.3 AI Has Proved Its Utility in Performing Complex Data Mining Activity and Assisting Physicians Make Better Treatment Decisions

1.4 Diagnostic Centers Have Been Early Adopters and Late Majority in Terms of Their Level of Adoption of AI-based Solutions

1.5 Better High Adoption of Speech Recognition Techniques Comes With Achieving Interoperability of Electronic Health Records

2.1 Very High Adoption of Speech Recognition Techniques Comes With Achieving Interoperability of Electronic Health Records (EHRs)

2.2 Advanced Technologies Such as Predictive Modelling Holds Very High Potential to Reduce Turnaround Time During Drug Discovery Process

2.3 High Market Adoption of Artificial Intelligence Tools Comes With Their Ability to Support Complex Clinical Decisions in Lesser Time

2.4 Artificial intelligence is a Critical Tool For Healthcare Companies to Differentiate Their Existing Products Across Potential Markets

3.1 Academic Research and Non-healthcare Companies Surpass Traditional Healthcare Companies in the Adoption of Artificial Intelligence Solutions

3.2 Predictive modelling Offers More Scope For Diversification of Existing Product Lines Across Newer and Unexplored Areas

3.3 Solutions Created Using Machine Learning and Cognitive Computing Deliver Scope For Sustainable Market Growth Worldwide

4.1 Most Artificial Intelligence Solutions Are Yet to Demonstrate Their Clinical Value in the Field of Surgery

4.2 Deep Learning as an AI-based Technique Has Been Widely Examined Worldwide as a Solution to Support Clinical Decision Making

4.3 Natural Language Processing Provides Better Clinical Value Across Customer Segments With High Commercialization Potential

5.1 Healthcare IT Firms Play a Vital Role Within the Innovation Ecosystem, Being Early Adopters of Technologies Addressing Needs on Time

5.2 Healthcare Providers, Biotech Firms and Pharma Companies Deliver Very High Synergies For Growth Across the Value Chain

5.3 Solutions to Optimize Patient Data, and Improving Decision Making Are Among the Top Growth Agendas of Global Innovation Stakeholders

5.4 Medtronic, Roche, and GE Healthcare Are Among the Top Adopters of AI-based Technologies to Develop Better Clinical Solutions

6.1 Technology Developers Need to Source Innovations From Emerging Markets to Fuel Cutting-edge Global New Product Development Efforts

6.2 Developing a Periodic Technology Tracking Program is Critical For Identifying Disruptive Solutions That Complement Existing Solutions

6.3 Case in Point: Developing Deep Learning Algorithms For Detecting Skin Cancer Malignancies

6.4 Case in Point: Addressing Adverse Events and Quality Control Processes Using Pharmacovigilance Artificial Intelligence Solutions

6.5 The Pace of Technology Adoption is Critical For Developing Innovative Solutions Addressing Customer Needs

7.1 North American and European Countries Hold High Intensity of Patents, Dominating the Global Patent Landscape

7.2 Development of a System For Approximating a Deep Neural Network For Anatomical Object Detection

7.3 Deep Learning Offers Advantage in Identifying Potential Risks in Reporting the Risk to Healthcare Providers

7.4 Development of Mobile Applications For Reliable Communication of Patient’s Medical Information Across Healthcare Facilities

7.5 Key Contacts

7.5 Key Contacts (continued)

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