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Artificial Intelligence in Healthcare Market is estimated to be US$ 151.88 billion by 2030 with a CAGR of 38.1% during the forecast period

Some of the primary driving factor for artificial intelligence in healthcare market expansion include the growing databases of patient health-related digital information, the rising desire for tailored treatment, and the rising demand to reduce healthcare costs. The growing global geriatric population, changing lifestyles, and rising prevalence of chronic diseases have all contributed to an increase in demand for early disease diagnosis and better understanding. Machine learning (ML) and artificial intelligence (AI) algorithms are becoming widely adopted and integrated into healthcare systems to effectively forecast diseases in their early stages based on past health statistics. The adoption of AI/ML technology was also fueled by the growing shortage of healthcare workers. As a result, AI algorithms may be trained to assess patient health data, assisting care practitioners in swiftly diagnosing the problem and designing an effective treatment plan. The ongoing Covid-19 pandemic, supportive government measures, and the increased number of mergers and acquisitions and technology partnerships all contributed to the market's growth and accelerated adoption rate of AI in healthcare. Following the initial deployment in the detection of Covid-19 positive patients utilising tailored patient information and data consolidation, AI/ML algorithms are now widely used in the speedy and accurate diagnosis of medical problems.

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Artificial Intelligence in Healthcare Market is estimated to be US$ 151.88 billion by 2030 with a CAGR of 38.1% during the forecast period Some of the primary driving factor for artificial intelligence in healthcare market expansion include the growing databases of patient health-related digital information, the rising desire for tailored treatment, and the rising demand to reduce healthcare costs. The growing global geriatric population, changing lifestyles, and rising prevalence of chronic diseases have all contributed to an increase in demand for early disease diagnosis and better understanding. Machine learning (ML) and artificial intelligence (AI) algorithms are becoming widely adopted and integrated into healthcare systems to effectively forecast diseases in their early stages based on past health statistics. The adoption of AI/ML technology was also fueled by the growing shortage of healthcare workers. As a result, AI algorithms may be trained to assess patient health data, assisting care practitioners in swiftly diagnosing the problem and designing an effective treatment plan. The ongoing Covid-19 pandemic, supportive government measures, and the increased number of mergers and acquisitions and technology partnerships all contributed to the market's growth and accelerated adoption rate of AI in healthcare. Following the initial deployment in the detection of Covid-19 positive patients utilising tailored patient information and data consolidation, AI/ML algorithms are now widely used in the speedy and accurate diagnosis of medical problems. Before purchasing this report, request a sample or make an inquiry by clicking the following link: https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/16
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