AI-based Medical Diagnostic Tools Market was valued at USD 1,035.7 Million in 2019 and is projected to reach USD 6,651.2 Million by 2027, growing at a CAGR of 26.04% from 2020 to 2027. As technology advances in all aspects of health care, software incorporating artificial intelligence (AI), specifically the subset of AI known as machine learning (ML), has become an increasingly important component of an increasing number of medical devices. One of the most significant potential benefits of ML is its ability to generate new and important insights from the massive amounts of data generated every day during the delivery of health care.
Artificial intelligence (AI) is a technique for transferring human intelligence to machines or computer technologies. AI-based medical diagnostic tools are primarily concerned with the development of AI programmes to perform disease diagnosis and therapy recommendations. These diagnostic tools are based on disease symbolic models. Learning systems and expert systems are important AI applications in medical diagnosis. Expert systems-based diagnostic tools are computer programmes that diagnose diseases using facts, inference, and knowledge processing techniques. For disease diagnosis, a learning system-based diagnostic tool employs statistical pattern recognition, machine learning methods, and neural networks.
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Top Key Players
Zebra Medical Vision, Inc.
IDx Technologies Inc.
Alivecor
MaxQ AI, Ltd.
ScreenPoint Medical
Imagen Ltd
Icometrix
Bay Labs, Inc.
Aidoc
Viz.ai, Inc.
Arterys Inc.
By Types
Medical Imaging Tools
Automated Detection Systems
Others
By Applications
Eye Care
Oncology
Radiology
Cardiovascular
Pathology
Others
Geographically, the detailed analysis of consumption, revenue, and market share and growth rate of the following regions:
United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of the World.
Artificial intelligence can help healthcare providers with a wide range of patient care and intelligent health systems. In healthcare, artificial intelligence techniques ranging from machine learning to deep learning are used for disease diagnosis, drug discovery, and patient risk identification. Numerous medical data sources, such as ultrasound, magnetic resonance imaging, mammography, genomics, computed tomography scans, and so on, are required to accurately diagnose diseases using artificial intelligence techniques. Furthermore, artificial intelligence improved the infirmary experience and accelerated the process of preparing patients to continue their rehabilitation at home.
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FAQs:
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