The report includes:
- Impact analysis of artificial intelligence (AI) on the global cognitive computing & AI systems in healthcare market
- Case studies for successful integration of AI and machine learning in cognitive computing & AI systems related to healthcare
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across key medical devices, cognitive computing & healthcare segment
- Review of AI impact on the various stages of the global cognitive computing & AI systems in healthcare value chain and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Implementation- Overview
- Key Use Cases/Case Studies
- Use Case 1: AI-Driven Clinical Decision Support for Early Disease Detection Problem
- Use Case 2: AI-Enabled Medical Imaging and Diagnostic Workflow Automation
- Use Case 3: AI-Powered Data Intelligence for Personalized Treatment and Drug Development
- Overview
- Adoption Trends by Region
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Overview
- Impact of AI on Key Industry Verticals
- Key Areas of AI Application
- Impact of AI on Various Stages of the Value Chain
- Overview
- Market Spending and Forecasting Analysis
- Key Spending/VC Funding in Cognitive Computing and AI Systems
- Abbreviations Used in the Report
Table 1: Major Companies Operating in the Cognitive Computing and AI Systems Market in Healthcare in North America
Table 2: VC Investment in Cognitive Computing and AI Systems
Table 3: Abbreviations Used in This Report
List of Figures
Figure 1: Value Chain for the Cognitive Computing and AI Systems Market in Healthcare

