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Democratizing AI
in Health

The future of health relies on the notion of Artificial Intelligence (AI), or the capability of intelligent systems to sense the world, comprehend, act and learn.

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Empowering every person and every organization
with systems of intelligence

  • Vision
  • Scenarios
  • Solutions
  • Approach
  • Alliance

The vision for AI in Health

The future of health relies on the notion of Artificial Intelligence (AI), or the capability of IT systems to sense the world, comprehend, act and learn.
It is a bold vision. It is fuelled by the idea that when computers can speak ‘human”, then every human can speak with computers.

The idea that computers understand the world through vision, speech, language and knowledge is not a futuristic dream. It is today’s reality unfolding and empowering new systems of cure and care.

Imagine the world of opportunities that this opens-up in terms of empowering health professionals.

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We are now beginning to witness the early days of a transition to the next big shift in computing, one that is fueled by advances in AI and built around a behavior that is most natural to humans — conversations.

It’s a new era where digital experiences mirror the way people interact with one another and we move from a world where we must understand computers to a world where they understand us and our intent and can be proactive. Systems of intelligence will endemically transform the way we innovate and transform for improved outcomes, the way we optimize clinical and operational processes, and the way we think and do prevention. So, what if people across the healthcare continuum could collaborate and use machine learning to come up with ways to improve outcomes for patients?

Microsoft is dedicated to democratizing Artificial Intelligence (AI) for every person and every organization, making it more accessible and valuable to everyone and ultimately enabling new ways to solve some of society’s toughest challenges. Advanced analytics, machine learning, robotics, holographic computing, and bots are re-designing every aspect of how people live, communicate, work, and learn. They are poised to transform how people receive care and how professionals deliver health services.

Thanks to the application of AI, health professionals will do a quantum leap in the journey towards value-based care. They will increase the rate of discharge combined with lower readmissions; they will succeed in keeping patients out of hospitals, helping early diagnosis, supporting citizens with chronic conditions to be monitored from their living-room instead of having to wait for hours in the emergency room, support patients through companion coach bots post-surgery or through their treatment to enhance adherence; empower doctors to better prepare surgeries or get ready for complex treatments.

These and many more scenarios are unfolding in front of our eyes, often being co-designed with health professionals, thinking about better outcomes and having the patient in the center. We believe that healthcare can be transformed by systems of intelligence that empower each person and every organization to achieve more.

The goal is not to beat humans at games or to replace doctors with robots. Our quest is to extend the abilities and expertise of health professionals, empower them with faster, more intuitive and predictive solutions, and to improve patients’ lives with better outcomes.

We know, however, that this future is dependent not only on continued development and integration of technology into medical care but also some important dialogues about how all of the data underlying these new processes will be safely stored and assurances that it wont be used in unfair or discriminatory ways against patients. We are committed to being an active participant in these important conversations that will help ensure privacy, ethics and other important social concepts are not lost as we embrace new technologies like AI in the healthcare sector.

Across several industry benchmarks, our computer vision algorithms have surpassed others in the industry — even humans.

Microsoft is the first in the industry to reach parity with humans in speech recognition.

The barrier of language is overcome by Microsoft Translator in real-time, connecting people and overcoming barriers.

We connect “world knowledge” with peoples’ “work knowledge” in the world’s biggest knowledge graph.

Empowering Health with AI

Patients and everyone will benefit from the availability of pervasive systems of intelligence to improve treatment outcomes and more broadly for population health management.

Health organizations will also seize the benefits of increased efficiency at the level of operations, waste reduction and optimization of processes. Analysis of medical images and health data coming from diverse sources are essential assets in modern medicine. With the ever-increasing amount of patient data, new challenges and opportunities arise for different phases of the clinical routine, such as diagnosis, treatment, and monitoring. Systems of Intelligence (AI) applied to health will help deliver easily accessible, cheaper, better quality care to 70% of patients globally by 2025 (Frost & Sullivan, 2015).

Microsoft, together with partners, is focused on assisting health organizations to integrate systems of intelligence that will optimize both clinical and operational effectiveness.

Clinical Effectiveness

  • More Predictive Care Guidance
  • Effective treatment planning
  • Pre- and post-surgery support
  • Population health management
  • Remote Patient Monitoring
  • Automated analysis of medical imaging & pathology
  • Earlier diagnostics, for a variety of diseases including cancer
  • Precision Medicine
  • Genomics
  • Reduced errors in connected ICUs (Intensive Care Units)

Operational Effectiveness

  • Fewer re-admissions and hospital acquired infections
  • Staffing optimization
  • Throughput
  • More accurate Claims management
  • Optimized Information security
  • Supply Chain & Cost management

Realizing the promise of Artificial Intelligence through scalable solutions in market, today.

These stories, research projects and technology capabilities from Microsoft and its partners around the world, are a great start to unravel the magic behind AI in health and understand how systems of intelligence are changing the lives of patients and the work of medical practitioners.

  • Clinical
    Effectiveness
  • Operational
    Effectiveness
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Partner projects
Research projects
Connected ICU
Connected ICU

Partner Devscope is empowering clinicians to mitigate patient risk and save more lives.

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Search algorithms
to predict lung cancer
Search algorithms to predict lung cancer

Reverse engineering of search questions may reveal new risk factors correlated to cancer and help in its diagnosis.

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InnerEye
InnerEye

InnerEye is a research project that uses state of the art artificial intelligence to build innovative image analysis tools to help doctors treat diseases such as cancer in a more targeted and effective way.

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Optolexia
Optolexia

An easy, 2-minute reading scan identifies children at risk of dyslexia. Using a repository of eye-tracking data, an analytical engine and Machine Learning in Azure, Optolexia aims to help schools identify students at risk for dyslexia significantly earlier than current screening tests.

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Graphnet
Graphnet

Changing the face of epilepsy and transforming the quality of life for those who suffer from it.

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Epimed
Epimed

Epimed Solutions improves care and minimizes costs with machine learning and advanced analytics.

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Innovation
Race
Innovation Race

Innovation Race in Uppsala creates ideas to improve cancer care in Sweden.

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Project
Hanover
Project Hanover

Real life, real time data and AI together empower precision medicine to profile each patient as the unique individual that each one of us is.

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Kanteron
Kanteron

Connecting disparate pockets of information customizes cancer treatment on a completely new level.

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HealthVault Insights
HealthVault Insights

Transform patient engagement with HealthVault Insights.

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Health Bot
Health Bot

AI at work for your patients, with Health Bot.

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ScanDiags
ScanDiags

Reducing the cost of MRI-based diagnosis in orthopedics: ScanDiags.

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Partner projects
Research projects
Skype
Translator
Skype Translator

Eliminating language barriers reduces medical risk, anywhere and everywhere with Skype translator.

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Seeing AI
Seeing AI

Seeing AI is the “Swiss Army knife” for the vision-impaired.

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Microsoft Services
Microsoft Services

Microsoft Services Advanced Analytics Solutions Accelerate Digital Transformation for Healthcare Organizations

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CGI Proper Pay
CGI Proper Pay

By leveraging the Microsoft Cortana Intelligence Suite, including machine learning and analytics, CGI ProperPay will help transform the recovery of lost payments due to improper claims.

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KenSci
KenSci

KenSci is fighting Death with Data Science. KenSci’s Machine Learning Platform and Advanced Analytics Solutions answer the hard questions about ‘who might get sick?’, ‘what can we do to prevent it?’ and ‘how can we serve them more efficiently across the continuum of care?’.

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Capita Healthcare Decisions
Bot Framework
Capita Healthcare Decisions Bot Framework

UK-based Capita Healthcare Decisions clinical triage content and Bot framework.

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Explore solutions

Our approach rooted in Research, brought to market with Partners and supported by Trust

Partners

Partners

We work with a dynamic partner ecosystem of local, regional and global companies with a view to fostering thriving locally relevant and globally scalable AI solutions. Start-ups and innovative, established companies working on AI in Health will benefit from an exponential Compound Annual Growth Rate (CAGR) of 42% YoY by 2021.

Research

Research

Our technology solutions are rooted in the work of dedicated research teams and the Microsoft AI and Research Group across the globe. This Group brings together Microsoft’s world-class research organization with more than 5,000 computer scientists and engineers focused on the company’s AI product efforts.

Trust

Trust

It is the key to technology adoption. Microsoft is committed to bringing to market cloud solutions that serve the Global Good. As data is the currency for the transformation and democratization of AI, new ethical considerations on how to use health and medical data in advanced analytics scenarios open unchartered opportunities and challenges. Our partnership with the Oxford Internet Institute (OII) at the University of Oxford is shedding light on these new areas.

We have a four-pronged approach to how we democratize AI for the benefit of all:

  • Agent

    We are harnessing artificial intelligence to fundamentally change how we interact with the agents of ambient computing in our lives

  • Applications

    We are infusing every application that we interact with, on any device, at any point in time, with intelligence

  • Services

    We’re making the intelligent capabilities infused in our own apps — the cognitive capabilities — available to every application developer in the world

  • Infrastructure

    We’re building the world’s most powerful AI supercomputer and making it available to anyone, via the cloud, to empower everyone to harness its power and tackle AI challenges, large and small


Do more with your health data

Microsoft HealthVault is a platform for businesses and consumers to store personal health information – and then generate insights from it.

Learn more:

Partner Alliance

Partners in the AI in Health Alliance are working together to scale the adoption of systems of intelligence in Health.

To succeed with this endeavour, Microsoft is working with participating partners in:

  • Joint Go to Market and co-selling opportunities leveraging existing Microsoft programs as well as the Cloud Investment Funds
  • Thought leadership on Democratizing AI in Health and joint advocacy to position solutions through events, marketing and digital marketplaces
  • Tailored AI training and capabilities’ development leveraging training programs like Azure Advanced Workload program and Developers Camps as well as on-line trainings and different kind of readiness material

References