Artificial Intelligence in Medical Imaging Market Report 2020 By Offering, Technology, Deployment Type, Application, Leading Players: 3Scan, Agfa Healthcare, Arterys, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., General Electric (GE) Company, I

Worldwide Market Reports adds "Artificial Intelligence in Medical Imaging Market 2020 Global Analysis, Growth, Trends and Opportunities Research Report Forecasting to 2024" reports to its database.

This report provides in depth study of "Artificial Intelligence in Medical Imaging Market" using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organisation. The Artificial Intelligence in Medical Imaging Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organisation such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organisation.

The global Artificial Intelligence in Medical Imaging market is expected to witness a promising growth in the next few years. The rising level of competition among the leading players and the rising focus on the development of new products are likely to offer promising growth opportunities throughout the forecast period. The research study on the global Artificial Intelligence in Medical Imaging market offers a detailed overview, highlighting the key aspects that are expected to enhance the growth of the market in the near future. The key segmentation and the competitive landscape of the market have also been mentioned at length in the research study.

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Some of the key players in the market are 3Scan, Agfa Healthcare, Arterys, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., General Electric (GE) Company, IBM Corporation, Intel Corporation, Johnson & Johnson Services, Inc., Medtronic, Microsoft Corporation, NVIDIA Corporation, Samsung Group, Siemens AG

Artificial Intelligence (AI) also known as machine intelligence is a branch of computer science that works to create intelligent machines. AI technologies such as deep learning is already being implemented in speech recognition, monitoring financial data for theft, and in self-driving cars. Artificial Intelligence (AI) technology is being implemented by healthcare service providers including hospitals for clinical usage, clinical decision support, and clinical diagnosis. Imaging-enabled specialities such as pathology and radiology are set to be early adopters of artificial technology.

The use of AI technology is expected to improve clinical outcomes and diagnostic process of healthcare providers. Apart from making radiologists more productive and efficient, AI and machine learning are likely to improve the experience of patients throughout the imaging process. Some of the major use cases of AI in radiology include automatic protocol selection and system optimisation, asset utilisation and case load management, and automatic scheduling of post imaging follow-up.

Based on region, the global artificial intelligence in medical imaging market can be segmented into North America, South America, Europe, Asia Pacific, and Middle East & Africa. North America and Europe are anticipated to hold significant market share during the forecast period due to high advancements and adoption of artificial intelligence technologies in the regions. Developing countries in Asia Pacific such as India and China are anticipated to present lucrative opportunities to the artificial intelligence in medical imaging market during the forecast period from 2020 - 2024

Global Artificial Intelligence in Medical Imaging Market Report includes Detailed TOC points:
1 Industry Overview
2 Industry Environment (PEST Analysis)
3 Artificial Intelligence in Medical Imaging Market by Type
4 Major Companies List
4.1 3Scan (Company Profile, Sales Data etc.)
4.1.1 3Scan Profile
Table 3Scan Overview List
4.1.2 3Scan Products & Services
4.1.3 3Scan Business Operation Conditions
Table Business Operation of 3Scan (Sales Revenue, Sales Volume, Price, Cost, Gross Margin)
(Continue with Key Players)
5 Market Competition
6 Demand by End Market
7 Region Operation
8 Marketing & Price
9 Research Conclusion

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