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The 9 Principles of Ethical AI in Healthcare Industry

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It is noticed that AI systems are not neutral and not providing valid outcomes. AI in Healthcare can raise ethical issues and can harm patients by not giving intended outcomes. Therefore it is necessary to use Ethical AI in the health industry. Akira AI provides Ethical AI systems that are taking care of ethical issues and values. The 9 principles that are responsible for ethical AI in healthcare and provide a framework to help technologists while designing, developing, or maintaining systems.


7 Innovative Examples of XR Technologies in the Healthcare Industry

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Artificial intelligence has matured into a fundamental technology used in a variety of fields such as robotics, computer vision, and natural language processing. It is pretty obvious that this progress would interfere with the health care sector, which needs constant improvement. Consequently, the combination of AI and XR provides extensive biotechnology applications and enables digital interaction with the physical environment in a multi-dimensional way.


Robotics and artificial intelligence to improve health rehabilitation

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A Universidad Carlos III de Madrid (UC3M) spin-off, Inrobics Social Robotics, S.L.L., has developed a robotic device that provides an innovative motor and cognitive rehabilitation service that can be used at health centers as well as at home. Inrobics was created using research results from the University's Department of Computer Science and Engineering. The entrepreneurial team has developed a platform made up of four elements: a robot that interacts with the patient, an artificial intelligence system that uses a 3D sensor to control the robot, an application that can be used by health care staff to set up and track sessions, and a cloud-based storage system which contains information and analytics from all of the rehabilitation processes. "The 3D sensor allows us to know the patient's position at all times. For example, we know if they are raising their arm, but we also know if they turn their spine to compensate for difficulty when doing so. All of this information is compiled and entered into the clinical reports that are generated," says Fernando Fernández, professor at the UC3M's Department of Computer Science and Engineering and founding partner of Inrobics.


How the British health service is using AI to make healthcare fairer

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Britain's National Health Service (NHS) is famous for offering free medical treatment to all UK citizens. Despite this, uptake of some services remains low, particularly in certain ethnic demographics. The British government has spent many years trying to reduce these inequalities – and now they are investigating how artificial intelligence (AI) can help bridge the gap. NHSx – the NHS' AI lab and health foundation – has a mission "to ensure NHS patients are amongst the first in the world to benefit from leading AI," and "a responsibility to ensure those technologies don't exacerbate existing health inequalities." As part of these efforts, NHSx has recently identified four AI projects that will benefit from additional investment.


Industry news in brief

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The latest Digital Health News Industry round up includes details on a name change, a robotic surgical systems installation and the launch of digital pre-op assessments for one trust. The Midlands Partnership NHS Foundation Trust has selected Agilisys to develop a business intelligence strategy to enhance the trust's data and analytics capabilities. As a result, the trust will have a single business intelligence tool that can be used across the whole of Midlands Partnership NHS Foundation Trust (MPFT). Previously this information was used by just the Business Intelligence Team but by making it available trust-wide, regardless of skill-level, it will support massive growth in the trust's data warehouse. In turn, this will support MPFT's ambitions for HIMSS 7. The two organisations are now working together on delivering a roadmap that informs the trust's decisions on migrating its data to the cloud.


New Artificial Intelligence projects funded to tackle health inequalities

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NHSX' NHS AI Lab and the Health Foundation have today awarded £1.4m to four projects to address racial and ethnic health inequalities using artificial intelligence (AI). The winning projects range from using AI to investigate disparities in maternal health outcomes to developing standards and guidance to ensure that datasets for training and testing AI systems are inclusive and generalisable. The NHS AI Lab introduced the AI Ethics Initiative to support research and practical interventions that complement existing efforts to validate, evaluate and regulate AI-driven technologies in health and care, with a focus on countering health inequalities. Today's announcement is the result of the Initiative's partnership with The Health Foundation on a research competition, enabled by NIHR, to understand and enable opportunities to use AI to address inequalities and to optimise datasets and improve AI development, testing and deployment. 'As we strive to ensure NHS patients are amongst the first in the world to benefit from leading AI, we also have a responsibility to ensure those technologies don't exacerbate existing health inequalities.


6 famous analytics and AI disasters

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In 2017, The Economist declared that data, rather than oil, had become the world's most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to IDG's State of the CIO 2021 report, 39% of IT leaders say that data analytics will drive the most IT investment at their organization this year, up from 37% in 2020. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.


Future Vision & Direction of AI Part II: Scaling AI Whilst Preventing a Big Brother World & Solving The Curse of the Modern Data Scientist

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Venture Capitalists are hoping to find the next superstar tech unicorn, AI startup founders dreaming of creating the next unicorn, and corporates adopting AI need to consider their data growth strategy in order to be able to scale their AI-enabled services or products. The past decade has been one of explosive growth in digital data and AI capabilities across the digital media and e-commerce space. And it is no accident that the strongest AI capabilities reside in the Tech majors. The author argues that there will be no AI winter in the 2020s as there was in 1974 and 1987 as the internet (social media and e-commerce) are so dependent upon AI capabilities and so too with being the Metaverse, and the era of 5G enabled Edge Computing with the Internet of Things (IoT). Furthermore, the following infographics illustrate how many people globally use social media and hence how central these channels have become to the everyday lives of people. Likewise, the size of the e-commerce market is vast. Although the era of standalone 5G networks may enable a window of opportunity for a new wave of consumer-facing applications in the business to consumer (B2C) in relation to e-commerce and perhaps even new digital media platforms that may challenge the current incumbents, after all the arrival of 4G provided a window for the likes of Airbnb, Uber, and leading social media platforms such as Facebook, Instagram, etc. to scale.


Role of Quantum Computing and AI in Healthcare Industry

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Medical research has advanced rapidly, extending life expectancy around the world. However, as people live longer, healthcare systems face increased demand, rising expenses, and a staff that is straining to meet the needs of the patient. Population aging, changing patients' needs, a change in life choices, and the never-ending loop of innovation are just a few of the relentless forces driving demand. Healthcare is one of our generation's main achievements. Medical research has progressed at a breakneck pace, extending life expectancy all around the world.


AI in Healthcare

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Healthcare heavily relies on the connection between scientific data and human judgment. Developments in AI (artificial intelligence) are uniting these two elements, making significant changes in the industry. The application of AI in healthcare can assist healthcare providers in various aspects of care and administrative processes. AI has become an essential component of the healthcare ecosystem, improving clinical procedures like diagnosis, treatment, service delivery, cost, and outcomes. From big data to policy, AI has significantly impacted the healthcare sector.