Precise Scenario of Artificial Intelligence in Healthcare Covering Top AI Applications Analyzed in New Study

Posted on 2018-07-02 by Mark Hub in Technology // 0 Comments

Market Research HUB

Albany, US, July 2, 2018: Artificial intelligence is poised to become a transformational force in healthcare. In recent studies, it has been analyzed that AI could help medical professionals in designing treatment plans and finding the best-suited methods for every patient. To elaborate further, a fresh study titled “Artificial Intelligence in Healthcare – Thematic Research” has been broadcasted to the vast repository of Market Research Hub (MRH). The report studies artificial intelligence in the healthcare market in detail and offers unbiased and accurate analysis of the key factors driving this landscape. This precise report focused on 10 AI applications with the potential to have a near-term impact in medicine and analyzed each application to derive an associated estimated value in the coming years.

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Key Insights from the Report

For the benefit of the report investors, the analysts highlights and examines the applications of AI in healthcare, with the potential to transform key aspects of the industry such as data management, clinical trial design and management, drug discovery, personalized and precision medicine, and robotic surgery. In addition to this, upcoming key trends which can be seen in the AI sector over the next two to three years categorized as technology trends, macroeconomic trends, and applications of AI in healthcare.
Now, it has been well-identified that artificial intelligence (AI) has already found several areas in healthcare to revolutionize starting from the design of treatment plans through the assistance in repetitive jobs to medication management or drug creation. And it is only the beginning. According to the research, healthcare companies across the world who implement Artificial Intelligence (AI) are entering a new period that is anticipated to revolutionize the industry by making various tasks more efficient, such as drug discovery, clinical trials, robotic surgery, and patient management.
To pour more light on the AI contribution in healthcare, the study highlights top 10 AI technologies, including machine learning, smart robots, image recognition, video recognition, recommendation engines, NLP, virtual personal assistants, gesture control, context awareness, and predictive APIs. In addition, the value chain across these 10 categories of AI, along with an industry investigation which includes the tech sector’s angle, enterprise software players, proprietary datasets, the transformation of the Chipset market, timeline, and partnerships and acquisitions has been offered to the readers.
An important section of the report highlights technology briefing, in which history of machine learning and how does deep learning work has been explained.

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With the conclusion of the report, readers can gain information about the competitive landscape which primarily emphasizes the major players operating in the market. Some of them are 3M Healthcare (Medical Devices), Boston Scientific, AbbVie, Amgen, B. Braun (Medical Devices), Abbott Laboratories, Bayer AG, Becton Dickinson, Biogen, Biotronik SE, Boehringer-Ingelheim, Bristol-Myers Squibb, Cardinal Health, CareFusion (Medical Devices), Celgene Corporation, GE Healthcare, Getinge Group, Gilead Sciences, GSK, Hologic, Johnson & Johnson, Medtronic, Merck, Novartis, Novo Nordisk, Olympus Corporation, Pfizer, Philips Healthcare, Roche, Sanofi, Shire, Siemens (Healthineers), Smith & Nephew

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