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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Size, Future Trends, Key Growth Drivers, Share Analysis And Forecast To 2033
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market
The artificial intelligence in magnetic resonance imaging (mri) market size is expected to see strong growth in the next few years. It will grow to $8.11 billion in 2028 at a compound annual growth rate (CAGR) of 7.3%. The growth in the forecast period can be attributed to ai-enhanced image reconstruction, personalized mri imaging, ai for lesion detection and classification, increased mri automation, ai-guided mri protocols. Major trends in the forecast period include quantitative imaging with ai, ai in functional mri (fmri), explainable ai in diagnostic interpretation, real-time ai analysis, ai-based image enhancement:.
Market Overview -
Artificial intelligence in magnetic resonance imaging (MRI) refers to integrating advanced computational algorithms and machine learning techniques to improve and augment the capabilities of magnetic resonance imaging (MRI) imaging processes, a non-invasive medical imaging technique that creates detailed, high-resolution images of the body's internal structures. AI enables greater resolutions in MRI while decreasing scan time by requiring less data to build those upgraded pictures.
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The Impact Of Artificial Intelligence On Mri Diagnostic Accuracy
The increased number of diagnostic procedures is expected to propel the growth of artificial intelligence in magnetic resonance imaging (MRI) market. Diagnostic procedures refer to medical tests, examinations, or techniques conducted to identify, evaluate, or confirm the presence of a disease, medical condition, or abnormality in a patient. Artificial intelligence is employed in MRI diagnostic procedures to improve accuracy and efficiency in detecting and characterizing abnormalities, leading to more precise and timely diagnoses for better patient outcomes in less time. For instance, in March 2023, according to the National Health Service (NHS), an England-based publicly funded healthcare system, approximately 1,628,300 patients were awaiting critical diagnostic tests in England, representing a 59,400-patient increase from March 2022. Additionally, in March 2023, a total of 2,302,400 diagnostic tests were performed. This is the case, with 223,100 more than in March 2022. Therefore, the increased number of diagnostic procedures is driving the growth of artificial intelligence in magnetic resonance imaging (MRI) market.
Competitive Landscape -
Major companies operating in the artificial intelligence in magnetic resonance imaging (mri) market report are Intel Corporation, International Business Machines Corporation, Bayer AG, Toshiba Corporation, NVIDIA Corporation, Siemens Healthcare GmbH, Fujifilm Holdings Corporation, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Nuance Communications Inc., Esaote SPA, Paige AI Inc., Orcam Inc., Aidoc Medical, Lunit Inc., Viz.ai Inc., Digital Diagnostics Inc., Owkin Inc., Aurora Imaging Technologies Inc., Quibim SL, Mirada Medical Ltd., Arterys Inc., Imbio LLC, QMENTA, Voxel Technology, Sanrad Medical Systems Pvt ltd, EchoNous Inc., Enlitic Inc., InformAI LLC, Nano X Imaging Ltd.
AI Advancements Transforming The Mri Landscape
Technology advancement has emerged as a key trend gaining popularity in artificial intelligence in magnetic resonance imaging (MRI) market. Major companies operating in artificial intelligence in magnetic resonance imaging (MRI) market are focused on advancements in AI (artificial intelligence) technology to meet specific demands and sustain their position in the market. For instance, in June 2023, GE HealthCare Technologies Inc., a US-based manufacturing company, introduced Sonic DL, an FDA-cleared AI deep learning technology for faster MRI. This technology acquires high-quality magnetic resonance images up to 12 times faster than conventional methods, enabling cardiac imaging within a single heartbeat. It extends access to patients with arrhythmias and breath-holding challenges, ensuring swift, consistent, and more comfortable exams with up to an 83% reduction in scan time for rapid, high-quality MRI.
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Key Segments -
The artificial intelligence in magnetic resonance imaging (mri) market covered in this report is segmented -
1) By Offering: Hardware, Software, Services
2) By Technology: Deep Learning, Machine Learning, Computer Vision, NLP (Natural Language Processing), Speech Recognition, Querying Method, Other Technologies
3) By Deployment Type: On-Premise, Cloud
4) By Clinical Applications: Musculoskeletal, Colon, Prostate, Liver, Cardiovascular, Neurology, Lung, Breast, Other Clinical Applications
5) By End-User: Clinics, Research And Laboratories, Other End Users
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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