Albany, NY -- (SBWIRE) -- 12/19/2018 -- Artificial Intelligence (AI) also known as machine intelligence is a branch of computer science that works to create intelligent machines. AI technologies such as deep learning is already being implemented in speech recognition, monitoring financial data for theft, and in self-driving cars.

Artificial Intelligence (AI) technology is being implemented by healthcare service providers including hospitals for clinical usage, clinical decision support, and clinical diagnosis. Imaging-enabled specialties such as pathology and radiology are set to be early adopters of artificial technology. The use of AI technology is expected to improve clinical outcomes and diagnostic process of healthcare providers.

Increasing use of imaging biomarkers and quantitative imaging in clinical practice, and growing workload of radiologists are expected to drive the global Artificial Intelligence in medical imaging market during the forecast period. Market players are also coming up with image acquisition hardware with embedded Al technologies.

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The core infrastructure such as networking, and compute and storage devices has also improved in terms of performance with recent technological advancements. The shortage of radiologists in many developing countries is expected to further propel the market growth over the forecast period from 2018 to 2026. Nonetheless, slow regulatory approval process is expected to hinder the market growth in the coming years. Despite the market having strong growth potential, there are very few approved products in the market.

The global artificial intelligence in medical imaging market can be segmented based on solution, AI technology, image acquisition technology, end-user, clinical application, and region. In terms of solution, the market can be bifurcated into devices, software tools or platforms, and services.

The services segment can be classified into integration services and development services. Based on AI technology, the global artificial intelligence in medical imaging market can be categorized into deep learning, computer vision, and others.

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