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Hospital Artificial Intelligence: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

Hospital Artificial Intelligence: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

WinterGreen Research announces that it has published a new study Hospital Artificial Intelligence: Market Shares, Strategy, and Forecasts, Worldwide, 2017 to 2023. The 2017 study has 90 pages, 35 tables and figures. Worldwide markets are poised to achieve continuing growth as the artificial intelligence software increases diagnostic excellence, saving lives and lowering care delivery costs.

Hospital Artificial Intelligence

Hospital care management can leverage augmented intelligence. Artificial intelligence is useful for providing highly tailored insights about individual patients or to work across an entire population. Artificial intelligence is useful for helping providers effectively address healthcare delivery.

The intersection of healthcare and artificial intelligence represents a market opportunity. New strategies are being developed by companies to bring A.I. to healthcare. The business challenges around those efforts are being addressed collectively in partnerships and in forums to bring the technology into the market. Artificial intelligence has an impact on patients, doctors, hospitals, clinical facilities, and the healthcare industry overall.

The ability of an intelligent system to learn from data without upfront human intervention brings significant change to the healthcare delivery system. It relies on the use of unsupervised and semi-supervised machine learning techniques. Segmentation, dimensionality reduction, anomaly detection and pattern recognition are replacing supervised manual techniques for diagnosis and care delivery.

Major factors driving the market for artificial intelligence in hospitals include its ability to provide better diagnostic accuracy under a variety of testing conditions. The worldwide aging population creates demand for increased accuracy of early diagnosis. An increase in the number of people with end stage diabetes, cancer, and severe respiratory diseases creates need for advanced medical diagnostic capabilities that work earlier in the evolution of disease, creating the ability to implement therapies that are lifesaving.


1. HOSPITAL ARTIFICIAL INTELLIGENCE MARKET DESCRIPTION AND MARKET DYNAMICS:
1.1 Hospital Care Management Leverages Artificial Intelligence
1.2 Ability of AI Solutions To Discover Schemas in Large Databases
1.3 Pharmaceutical Companies Using Computers to Help Them Find New Medications
2. HOSPITAL ARTIFICIAL INTELLIGENCE (AI) MARKET SHARES AND MARKET FORECASTS
2.1 Hospital Artificial Intelligence (AI) Market Driving Forces
2.2 Artificial Intelligence Healthcare Market Shares:
2.3 Hospital Artificial Intelligence Market Forecasts:
2.3.1 Airplanes Utilize Artificial Intelligence (AI) to Land Themselves
2.4 Hospital Artificial Intelligence (AI) Challenges
2.5 Artificial Intelligence Healthcare Software Prices:
2.6 Hospital Artificial Intelligence Regional Segments:
3. HOSPITAL ARTIFICIAL INTELLIGENCE PRODUCTS:
3.1 Partners HealthCare, IBM, and GE Healthcare
3.2 IBM Watson
3.2.1 IBM Genomic And Immunotherapy Supercomputing for Patient Management
3.2.2 Mayo Clinic and IBM Watson
3.3 Google’s AI subsidiary DeepMind is partnering with another UK hospital
3.4 Prognos
4. HOSPITAL ARTIFICIAL INTELLIGENCE RESEARCH AND TECHNOLOGY:
4.1 Tesla’s Elon Musk
4.2 Research at Google
4.3 IBM AI Research
4.3.1 Neural Representation of Sketch Drawings
4.4 Superstar Companies That Are Able To Leverage IT to Achieve Growth
4.4.1 Using Digital Technology To Create Market Disruption
4.5 Google and Nvidia Artificial Intelligence
5. HOSPITAL ARTIFICIAL INTELLIGENCE HEALTHCARE COMPANIES
5.1 Alphabet / Google
5.1.1 Google Artificial Intelligence Subsidiary DeepMind Healthcare Initiative
5.2 General Electric (GE)
5.2.1 General Electric Revenue by Segment
5.2.2 GE Healthcare and Massachusetts General Artificial Intelligence
5.3 GlaxoSmithKline (GSK)
5.3.1 GlaxoSmithKline Deal For Artificial Intelligence With Privately Owned Exscientia
5.4 IBM 65
5.4.1 IBM Watson Genomics by Quest Diagnostics
5.4.2 IBM Watson Healthcare Revenue
5.4.3 IBM Watson Solutions Software Healthcare Revenue
5.5 Merck
5.6 Prognos
5.6.1 Coding Healthcare Datasets Full Of Unstructured Text
5.7 Quest Diagnostics
5.7.1 IBM Personalized Healthcare: Watson Genomics from Quest Diagnostics
5.7.2 Quest Diagnostics Revenue
5.8 Safeguard Scientifics Announces Second Quarter 2017 Financial Results
5.8.1 Safeguard Scientifics Prognos DxCloud
5.9 Zebra 80
WINTERGREEN RESEARCH,
WinterGreen Research Methodology
WinterGreen Research Process
Market Research Study
WinterGreen Research Global Market Intelligence Company
Report Description: Hospital Artificial Intelligence Models Matter
List OF Figures
Abstract: Artificial Intelligence for Healthcare Promises Vastly Improved Care Delivery with Declining Cost of Care
Figure 1. Hospital Based Artificial Intelligence Market Shares, Software, Dollars, Worldwide, 2016
Figure 2. Hospital Artificial Intelligence Market Shipments Forecasts Dollars, Worldwide, 2017-2023
Figure 3. Artificial Intelligence Components
Figure 4. Artificial Intelligence Predictive Functions
Figure 5. Selected Start-Ups Applying AI to Drug Research
Figure 6. Hospital Artificial Intelligence (AI) Market Driving Forces
Figure 7. Healthcare Safety Features Implemented by Artificial Intelligence (AI)
Figure 8. Hospital Based Artificial Intelligence Market Shares, Software, Dollars, Worldwide, 2016
Figure 9. Hospital Based Artificial Intelligence Market Shares, Software, Dollars, Worldwide, 2016
Figure 10. Hospital Artificial Intelligence Market Shipments Forecasts Dollars, Worldwide, 2017-2023
Figure 11. Hospital Artificial Intelligence Market Shipments Forecasts Dollars, Worldwide, 2017-2023
Figure 12. AI Replacements for Supervised Manual Techniques For Diagnosis And Care Delivery.
Figure 13. Hospital Artificial Intelligence Long-Term Goal
Figure 14. Applications That Support Interaction With Humans Is A Way to Make Outcomes Recognizable And Believable
Figure 15. Artificial intelligence Action Functions
Figure 16. Hospital Artificial Intelligence (AI) Challenges
Figure 17. Hospital Artificial Intelligence (AI) Human Factors
Figure 18. Hospital Artificial Intelligence Software, Large and Small Systems Shipments Forecast, Dollars, Worldwide, 2017-2019
Figure 19. Hospital Artificial Intelligence Software, Large and Small Systems Shipments Forecast, Dollars, Worldwide, 2017-2019
Figure 20. Hospital Artificial Intelligence Software, US and Worldwide, Shipments Forecast, Dollars, Worldwide, 2017-2019
Figure 21. Hospital Artificial Intelligence Software, Large Systems, Shipments Forecast, Dollars and Units, Worldwide, 2017-2019
Figure 22. Hospital Artificial Intelligence Software, Large Systems, Percent Penetration Forecast, Dollars and Units, Tier One Hospitals and Research Facilities, US and Worldwide, 2017-2023
Figure 23. Hospital Artificial Intelligence Software, Large Systems, Installed Base and Penetration Forecast, Dollars and Units, Tier One Hospitals, US and Worldwide, 2017-2023
Figure 24. Hospital Artificial Intelligence Software, Small Systems, Shipments Forecast, Dollars and Units, Worldwide, 2017-2019
Figure 25. Hospital Artificial Intelligence Regional Market Segments, 2016
Figure 26. Hospital Artificial Intelligence Regional Market Segments, 2016
Figure 27. Truven Health Analytics Products
Figure 28. IBM TrueNorth Neurosynaptic System
Figure 29. AI Makes Words Manageable
Figure 30. GE Healthcare and Massachusetts General Artificial Intelligence
Healthcare Initiative Workflow
Figure 31. GE Healthcare and Massachusetts General Artificial Intelligence
Healthcare Initiative Center of Excellence
Figure 32. Prognos Investors
Figure 33. Percent Patients with Abnormally High Test 5 years Prior to First Pancreatic Cancer Diagnosis Stratified by Test and by Year
Figure 34. Prognos Pancreatic Cancer Diagnosis Test Result Variance
Figure 35. Watson Genomics from Quest Diagnostics Features:

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