With increasing use of latest technology such as artificial intelligence, its implementation in different sectors has also increased. In the recent times, with growth and development of health sector, the integration of the same with AI has been witnessed. As a matter of fact, this integration is gaining much popularity and can be considered to be a success. The present report revolves around understand the overall application of AI in healthcare industry. The potential of AI to create meaningful relationship within a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios.

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The ability and expertise of AI techniques has been explored in nearly every arena of medicine. Based on application, the application of AI in healthcare sector is divided into Robotic surgery, Diagnosis, Virtual Nursing assistance, Administrative workflow assistance and Advances analytics and research. All of these advances point out towards the fact that such capabilities can support, or even enhance, human decision making in health and healthcare.

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There are a varied areas in healthcare that can be positively impacted by adoption of AI, owing to the benefits associated with AI application. Based on technology, the healthcare AI market is divided into Machine learning, Deep learning, Intelligent agent and Neural networks. Artificial neural network is the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings.

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Artificial intelligence techniques have the potential to be applied in almost every field of medicine. Owing to such a widespread usage of AI in healthcare, it will be interesting and is the need of the hour to understand and analyses the growth of AI in the field of healthcare and is thus the scope of the present research.
On the basis of region, the market has been segmented into North America, Europe, Asia-Pacific, MENA (Middle East & North Africa) and Latin America. As a matter of fact, AI in healthcare has witnessed growth globally in the past decade.

Table of Contents

1. MARKET INTRODUCTION
1.1 Market Definition 12
1.2 Objective of the Study 12
1.3 Limitation 12
1.4 Stakeholders 13
1.5 Currency used in the Report 13
2. RESEARCH METHODOLOGY OR ASSUMPTION 14
2.1 Research Methodology for AI in Healthcare Market Study 14
2.1.1 Main objective of the AI in health care sector Market Study 15
3. REGULATORY FRAMEWORK AND KEY DEVELOPMENT 16
3.1 General Overview 16
3.1.1 North America 16
3.1.1.1 North America Regulatory Framework for AI in Healthcare 16
3.1.1.2 North American Key Developments of AI in Healthcare 17
3.1.2 Europe 17
3.1.2.1 European Regulatory Framework for AI in Healthcare 17
3.1.2.2 European Key Developments of AI in Healthcare 18
3.1.3 Asia Pacific (APAC) 19
3.1.3.1 Asia Pacific (APAC) Regulatory Framework for AI in Healthcare 19
3.1.3.2 Asia Pacific (APAC) Key Developments of AI in Healthcare 20
3.1.4 Rest of World (RoW) 20
3.1.4.1 Rest of World (RoW) Regulatory Framework for AI in Healthcare 20
4. INDUSTRY PERFORMANCE 22
5. EXECUTIVE SUMMARY 23
6. MARKET OVERVIEW 25
6.1 Introduction 25
6.2 Market Dynamics 25
6.2.1 Market Drivers 26
6.2.1.1 Increasingly Large and Complex Data Set 26
6.2.1.2 Growing Demand to Reduce Healthcare Costs 27
6.2.1.3 Improving Computing Power in Healthcare 28
6.2.1.4 Rising Need for Improvised Healthcare Services 30
6.2.1.5 Application of AI for novel surgeries and screening 31
6.2.2 Market Restraints 32
6.2.2.1 Limitations of AI decision-making 32

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