Artificial Intelligence in Diagnostics Market is projected to grow up to USD 720 million by 2027 growing at a CAGR of 62% during the forecasting period 2021-2027.

Artificial intelligence (AI) refers to the development of unique systems using algorithms and software that can complete activities without the need for human participation or instructions. Machine learning, natural language processing, reasoning, and perception are just a few of the technologies that make up artificial intelligence. In diagnostics, AI is utilised to approximate human cognition and to analyse complicated medical and diagnostic imaging data.
The growing need for AI-based diagnostic solutions is being fueled by a desire to lower testing costs, reduce machine downtime, and improve patient care. Furthermore, rising demand for cost-effective diagnostic methods and procedures, rapid diagnostic data collection and consolidation, and efficient report analysis are just a few of the other reasons predicted to propel the artificial intelligence in diagnostics market forward. As a result, artificial intelligence (AI) solutions have been developed to meet these expanding demands. Rising strategic activities among competitors operating in the market for artificial intelligence in diagnostics, such as partnerships, collaborations, mergers and acquisitions, and product launches, is another factor positively driving market growth.
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The Artificial Intelligence in Diagnostics Market report has been categorized as below
By Component
Software
Services
By Application
In Vivo Diagnostics
By Speciality
Radiology
Cardiology
Neurology
Obstretics/ Gynecology
Opthalmology
Others
By Modalities
MRI
CT scan’
X rays
Ultrasound
Others
In Vitro Diagnostics
By End User
Hospitals
Diagnostic Imaging Centers
Diagnostic Laboratories
Others
By Region
North America
Europe
Asia Pacific
Rest of World
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