The AI For Radiology Market size is expected to grow at an annual average of 5% during 2021-2027. Artificial intelligence, also known as machine intelligence, is the branch of computer science that creates intelligent machines. The use of artificial intelligence is advancing rapidly in medicine, especially in radiation. In radiology, it is used to provide the highest level of accuracy, enabling early detection of disease onset and long-term treatment planning. AI is used in healthcare as clinical decision support and information management (both doctors and patients) and can modify the practices of radiation in processes such as detection and prioritization, monitoring and enrollment, and image acquisition and reporting. This technology can be used to analyze medical imaging solutions to identify the most effective solutions for acute conditions across the human and animal body. It can add precision and consistency to your anomaly detection if something doesn’t stand out.
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The following segmentation are covered in this report:
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
By Type
- Mammography
- Chest Imaging
- Neurology
- Colonography
- Cardiovascular
- Head CT Scan
- Rest of the body
The report covers the following objectives:
- Proliferation and maturation of trade in the global AI For Radiology Market
- The market share of the global AI For Radiology Market supply and demand ratio, growth revenue, supply chain analysis, and business overview.
- Current and future market trends that are influencing the growth opportunities and growth rate of the AI For Radiology Market
- Feasibility study, new market insights, company profiles, investment return, revenue (value), and consumption (volume) of the global AI For Radiology Market
Scope of the report
The research study analyses the AI For Radiology Market industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:
Recent developments
- Market overview and growth analysis
- Import and export overview
- Volume analysis
- Current market trends and future outlook
- Market opportunistic and attractive investment segment
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Geographic coverage
- North america market size and/or volume
- Latin america market size and/or volume
- Europe market size and/or volume
- Asia-pacific market size and/or volume
- Rest of the world market size and/or volume
Key Questions Answered by AI For Radiology Market Report
- What was the AI For Radiology Market size in 2019 and 2020; what are the estimated growth trends and market forecast (2021-2027)
- What will be the CAGR of Market during the forecast period (2021-2027)?
- Which segments (product type/applications/end-user) were most attractive for investments in 2021? How these segments are expected to grow during the forecast period (2021-2027).
- Which manufacturer/vendor/players in the AI For Radiology Market was the market leader in 2020?
- Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
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