replique montre fausse rolex african american wigs diamond art Artificial Intelligence In Radiology Market 2020 By Advanced Technologies & Growth Opportunities, Key Players, Revenue, Emerging Trends And Business Strategy Till 2025 | CAGR 35.9%
 

Artificial Intelligence In Radiology Market 2020 By Advanced Technologies & Growth Opportunities, Key Players, Revenue, Emerging Trends And Business Strategy Till 2025 | CAGR 35.9%

By Digvijay Chakravarty 05 May 2020 Top stories,Business

Latest research report on ‘Artificial Intelligence In Radiology Market’ delivers a comprehensive study on current market trends. The outcome also includes revenue forecasts, statistics, market valuations which illustrates its growth trends and competitive landscape as well as the key players in the business.

Global Artificial Intelligence in Radiology Market is valued at USD 21.5 Million in 2018 and expected to reach USD 181.1 Million by 2025 with a CAGR of 35.9% over the forecast period.

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Scope of Artificial Intelligence in Radiology Market Report–

Artificial intelligence also known as machine intelligence is a branch of computer science that works to create intelligent machines. The use of artificial intelligence has been rapidly progressing in medicine, particularly in radiology. In radiology, it is used to identify the onset of diseases at early stage and enable to plan the treatment for long term needs and offer the highest level of accuracy. AI is used in medical field as clinical decision support and information management (for both physician as well as patients) and can modify the practice of radiology in processes such as detection & prioritization, monitoring & registration, image acquisition and reporting.

This technology can be used to analyze medical imaging solutions to identify most effective solution for acute abnormalities across both human as well as animal bodies. It can add a layer of precision and consistency to the search for anomalies if something goes unnoticed. Time sensitive cases like stroke treatments can be diagnosed faster by operating AI systems. The challenges in this field now become identifying opportunities for reducing inefficiencies in radiology workflow through AI integration.

Key Players-

Some major key players for artificial intelligence in radiology market are AI Technologies Ltd., Enlitic, Inc., EnvoyAI, Freenome Inc., Gleamer Ltd., IBM Corporation and others.

The regions covered in this artificial intelligence in radiology market report are North America, Europe, Asia-Pacific, Latin America, Middle East and Africa. On the basis of country level, the market of artificial intelligence in radiology is sub divided into U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, Middle East Asia (UAE, Saudi Arabia, Egypt) GCC, Africa, etc.

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Market Segmentation:

By Radiology Type:

Mammography, Chest Imaging, Neurology, Colonography, Cardiovascular, Head CT Scan, Rest of the body

By Application:

Computer-aided Diagnosis, Clinical Decision Support, Quantitative Analysis Tools, Computer-aided Detection

By Technique:

X-rays, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Positron Emission Tomography (PET). Others

Market Dynamics-

The artificial intelligence in radiology market is driven by the factors such as use of machine learning technology in diagnostic imaging along with the increasing use of quantitative imaging and biomarkers imaging in clinical practices. Apart from making radiologists more productive and efficient, AI and machine learning are likely to improve the experience of patients throughout imaging process. Market players are coming up with new image acquisition hardware along with embedded AI technologies. Core structure such as computing and storage devices, networking has also improved in performance with current technical advancements.

Additionally, increase in the use of AI beyond image analysis like practice management, quality assurance and improvements in the performance of deep learning algorithms over early generation of AI are the factors that are also supporting the market growth. However, the factors such as slow regulatory approval process, lack of real-world confirmation to validate the economic benefits and the return on investment, and long sales & implementation cycles may hamper the market growth.

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Digvijay Chakravarty

Digvijay Chakravarty presently develops content for a slew of portals, including businessstatsnews and Industry Stats Report. A post graduate in mathematics and business administration. As a content writer, he currently writes articles pertaining to the latest industry news, business trends, and market research.

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