DUBLIN, June 9, 2023 /PRNewswire/ – The report, Artificial Intelligence (AI) in MRI Market – Forecasts 2023 to 2028 has been added to ResearchAndMarkets.com.
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The market for artificial intelligence in MRI is projected to grow at a CAGR of 35.7% and reach US$1,539.622 million in 2028 from US$181.720 million in 2021.
Artificial intelligence (AI) is increasingly being used in magnetic resonance imaging (MRI) to improve image quality, increase diagnostic accuracy and reduce the time required for analysis. AI algorithms can process and analyze large amounts of image data in a fraction of the time it would take a human expert. In addition, AI algorithms can segment anatomical structures in MRI images, such as the brain, liver or heart. This can be useful when planning surgery or radiotherapy.
In addition, MRI images can be noisy, affecting their quality and accuracy. AI algorithms can remove noise from MRI images, improving their diagnostic value. AI algorithms can also register or align multiple MRI images of the same patient at different times or angles. This is useful for tracking disease progression or response to treatment. You can also classify MRI images into different categories, e.g. B. normal or abnormal, or distinguish between different types of abnormalities. This can aid in diagnosis and treatment planning, and can be used for predictive modelling. For example, they can use MRI images of their brain to predict how likely it is that a patient will develop Alzheimer’s disease.
The market for artificial intelligence in MRI is driven by the growing demand for imaging services and cloud healthcare solutions due to rising chronic disease cases and government ventures. Governments around the world are investing in healthcare infrastructure and technology to improve patient outcomes and reduce costs. This includes investments in AI technologies for MRI, which can help improve access to imaging services and reduce wait times.
The story goes on
In addition, the increasing prevalence of chronic diseases and the aging population have led to a growing demand for medical imaging services, including MRI. AI algorithms can help healthcare providers provide more accurate and efficient diagnostic services, reduce wait times and improve patient outcomes. According to the US National Institutes of Health (NIH), demand for medical imaging services is growing rapidly, with MRI being one of the most commonly used modalities. The NIH reports that the number of MRI scans performed in the US increased from 10.5 million in 2000 to 42 million in 2017.
The increasing adoption of cloud-based medical imaging solutions is also driving the growth of the AI-in-MRI market.
Cloud-based solutions enable healthcare providers to more easily access and share image data, improving collaboration and patient outcomes. The US Department of Health and Human Services (HHS) launched a new initiative called “MyHealthEData” in 2018, which aims to encourage the adoption of cloud-based solutions for medical imaging and other healthcare services.
Market Developments:
In November 2022, GE Healthcare introduced a new artificial intelligence platform called SIGNA to streamline much of the work involved in MRI scanning, using software for low-skill MRIs. The SIGNA Experience helps employees prepare the company’s SIGNA scanners and get clear diagnostic images as quickly as possible by combining AI and deep learning-powered applications with easy-to-position magnetic coils. The service focuses on SIGNA One, a simpler computer interface available on GE’s smaller 1.5 ton SIGNA Prime scanner, and is designed to increase the uptake of MR imaging in emerging markets outside the United States. It can extract more signal data from faster scans and different imaging methods. In November 2021, Philips, a major health technology company, unveiled significant advances in MR imaging enabled by AI. The Philips MR line of intelligent integrated solutions can accelerate MR exams, streamline workflows, improve diagnostic accuracy and support the sustainability and efficiency of radiology workflows. The company’s AI-powered MR Workspace, which offers an intuitive solution to simplify the path from image acquisition to diagnosis, improving the MR workflow and staff experience, and Philips SmartSpeed, which accelerates image acquisition and improving image quality and diagnostic confidence for all patients were two of the new AI-enabled MR innovations introduced by Philips in 2021. In addition, the company also presented its new intelligent networked systems MR 5300 and MR 7700 in the same period.
Based on the end users, the artificial intelligence in MRI market in the hospital segment is expected to register positive growth.
Hospitals are likely to be the top end users of AI in MRI due to their ability to invest in expensive medical equipment and advanced technologies. In addition, hospitals have a large patient volume, which requires faster and more accurate diagnoses. AI in MRI can help hospitals reduce radiologist workloads, increase diagnostic accuracy, and improve patient outcomes.
North America and Europe account for the largest share of artificial intelligence in the MRI market.
Based on geography, the Artificial Intelligence in MRI market is analyzed in North America, South America, Europe, Middle East & Africa and Asia-Pacific regions.
With well-developed healthcare infrastructure, advanced medical technologies, and government support for research and development of AI technologies, North America is expected to hold a significant share of the AI-in-MRI market. This makes the USA the largest market for AI in MRI in North America.
Europe is also expected to hold significant shares in the AI-in-MRI market due to the increasing adoption of AI technologies in healthcare and rising government initiatives for IT development in healthcare. The European Union has invested $2.5 billion in the development of AI technologies as part of its Digital Single Market strategy. Great Britain, Germany and France are the most important markets for AI in MRI in Europe.
Market segmentation:
through solution
By the end user
hospitals
clinics
diagnostic centers
According to geography
North America
USA
Canada
Mexico
South America
Brazil
Argentina
Other
Europe
Great Britain
Germany
France
Italy
Spain
Other
Middle East and Africa
Saudi Arabia
United Arab Emirates
Other
Asia Pacific
China
Japan
India
South Korea
Australia
Singapore
Indonesia
Other
Main topics covered:
1 INTRODUCTION
2. RESEARCH METHOD
3. SUMMARY
4. MARKET DYNAMICS
5. ARTIFICIAL INTELLIGENCE IN THE MRI MARKET FOR SOLUTION
5.1. introduction
5.2. software
5.3. Services
6. ARTIFICIAL INTELLIGENCE IN MRI MARKET BY END USER
6.1. introduction
6.2. hospitals
6.3. clinics
6.4. diagnostic centers
7. ARTIFICIAL INTELLIGENCE IN MRI MARKET BY GEOGRAPHY
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
9. COMPANY PROFILES
Mentioned companies
Siemens Healthineers AG
GE HealthCare
IBM
Philips Healthcare
NVIDIA Corporation
Oxipit.ai
Quibim
For more information about this report, visit https://www.researchandmarkets.com/r/xag7vy
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