ARTIFICIAL INTELLIGENCE IN MRI MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Artificial Intelligence in MRI Market, By Solution (Hardware, Software, and Services), By Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision, and Others), By Deployment Type (On-premise and Cloud), By Clinical Applications (Musculoskeletal, Colon, Prostate, Liver, Cardiovascular, Neurology, Lung, Breast, and Others), By End Users Hospitals, Clinics, Research Labs & Diagnostic Imaging Centers, Maternity Centers, and Ambulatory Surgical Centers), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)

Published In : Jul 2024
Code : CMI7196
Pages :165
Formats :
Excel and PDF
Industry : Medical Devices

Market Concentration and Competitive Landscape

Artificial Intelligence in MRI Market Concentration By Players

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Growing use of AI-based diagnostic solutions

The use of artificial intelligence (AI) based diagnostic solutions is increasing rapidly in the global MRI market. AI is helping radiologists and healthcare providers extract more value from MRI scans by enhancing image quality, automating routine diagnosis, and enabling real-time clinical decision making. This is improving diagnostic accuracy and reducing reading time significantly. For example, algorithms developed by startups like Anthropic are automating tasks like lesion detection from brain MRIs for conditions like cancer, multiple sclerosis, etc. This allows radiologists to confirm detection in few minutes compared to manually examining hundreds of images. Some solutions are also automating MRI reporting by analyzing patterns in scans and generating preliminary radiology reports with important clinical findings highlighted. Such AI applications are reducing workload on overburdened radiologists and improving their productivity multi-fold. In the coming years, the adoption of advanced AI technologies like deep learning is projected to further accelerate. Models will become more sophisticated by training on growing volumes of MRI data from various healthcare providers as well as patients. This will enhance capabilities of AI solutions from the automated detection of new types of abnormalities to generating detailed radiology reports on par with human experts. It will also enable real-time augmented intelligence where AI will be used during scans to provide live assistance to radiologists.

Key Players Insights