Posts Tagged ‘artificial intelligence’

Healthcare Data

I recently flew to Singapore to give a keynote on AI in healthcare and attend a panel discussion on the same topic hosted by School of AI and sponsored by Accenture. School of AI is a nonprofit with a goal of giving everyone on Earth a world-class AI education for free. This was a launch event for our first global hackathon called Health Hack that will be hosted in over 30 cities around the world by our Deans (community representatives). In this video, you’ll learn about automated diagnostics, synthetic biology, drug discovery, and the ethical implications of AI. Enjoy!

Link to the hackathon (RSVP at the city closest to you if there is one):


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Demystifying AI and Machine Learning in Healthcare


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Be the first to comment - What do you think?  Posted by admin - March 13, 2019 at 3:20 am

Categories: Health care online   Tags: , , , , , , , , , , , , , , , , ,

AI in Healthcare: Real-World Machine Learning Use Cases

Levi Thatcher, PhD, VP of Data Science at Health Catalyst will share practical AI use cases and distill the lessons into a framework you can use when evaluating AI healthcare projects. Specifically, Levi will answer these questions:

What are great healthcare business cases for AI/ML?
What kind of data do you need?
What tools / talent do you need?
How do you integrate AI/ML into the daily workflow?

Be the first to comment - What do you think?  Posted by admin - February 14, 2019 at 3:20 am

Categories: Health care online   Tags: , , , , , , ,

Meet Suki, The Siri For Healthcare | Incident Report 217

What if we had an invisible, Alexa-like assistant that functioned like a medical intern, doing the scut and freeing us to be present for our patients? Punit Soni, founder and CEO of Suki, is building exactly that.

In this episode we discuss how technology can actually enable the human relationship that’s been lost in healthcare. We talk about the challenges and opportunities of having a voice-activated AI that empowers rather than obstructs. Would you let it into your exam room? After talking to Punit and seeing the demo, I have little doubt that the future of Health 3.0 is gonna be bright (with only a 30% risk of robot apocalypse).

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Full video, links, and transcript at

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Be the first to comment - What do you think?  Posted by admin - January 18, 2019 at 3:20 am

Categories: Health care online   Tags: , , , , , , , , , , , , , , , ,

Global Artificial Intelligence in Healthcare Market to grow by Over 50%, 2017-2023 – Insights, Opportunity Analysis, Market Shares and Forecasts – Research and Markets | Business Wire

Global Artificial Intelligence in Healthcare Market to grow by Over 50%, 2017-2023 – Insights, Opportunity Analysis, Market Shares and Forecasts – Research and Markets | Business Wire


Artificial Intelligence in Healthcare Market Insights, Opportunity

Analysis, Market Shares and Forecast, 2017 – 2023” report has

been added to Research and Markets’ offering.

Global Artificial Intelligence in healthcare market is expected to have

a CAGR of about 51% during the forecast period 2016-2023

The rising demand for real time monitoring system and increasing usage

of big data in healthcare industry are responsible for the growth of the

global Artificial Intelligence in healthcare market. The benefits of

Artificial Intelligence in healthcare industry include fast and accurate

diagnosis, reduced human errors, cost reduction and it has various

applications in image recognition and interpretation, diagnostic

assistance etc. However, ambiguous regulatory guidelines for medical

software and reluctance among medical practitioners to adopt Artificial

Intelligence based technologies are the factors that restrain the growth

of the global Artificial Intelligence in healthcare market.

Geographically, North America is expected to be the largest and fastest

growing market for Artificial Intelligence in healthcare during the

forecast period. The regulatory mandates for the use of electronic

health records, increasing focus on precision medicine, strong presence

of leading companies, large number of cross industry collaborations and

growing investments in the field of Artificial Intelligence in

healthcare are growing the market in the region. Also, high usage of

personal care products among consumers is driving growth of the

Artificial Intelligence in healthcare market in North America.

The growth in global nano & micro satellite market is also influenced by

the presence of major players such as IBM Corporation (U.S.), Intel

Corporation (U.S.), Google Inc. (U.S.), NVIDIA Corporation (U.S.),

Microsoft Corporation (U.S.) etc. Product launches, Mergers &

acquisitions etc. are some crucial strategies adopted by the major

players to gain competitive advantage.

Key Topics Covered:

1. Introduction

2. Market Overview

3. Market Determinants

4. Market Segmentation

5. Competitive Landscape

6. Geographical Analysis

7. Company Profiles

  • IBM Corporation (U.S.)

  • Intel Corporation (U.S.)

  • Google Inc. (U.S.)

  • Nvidia Corporation (U.S.)

  • Microsoft Corp. (U.S.)

  • Icarbonx (China)

  • Next It Corp. (U.S.)

  • Welltok Inc. (U.S.)

  • General Vision Inc.(U.S.)

  • Enlitic Inc. (U.S.)

  • Resursion Pharmaceuticals (U.S.)

  • General Electric Company (U.S.)

  • Stryker Corporation (U.S.)

  • Deep Genomics Inc. (Canada)

  • Oncora Medical Inc. (U.S.)

For more information about this report visit

Be the first to comment - What do you think?  Posted by admin - December 1, 2017 at 5:39 am

Categories: Health   Tags: , , , , , , , , , , ,

Machines To Get Better Preventative Healthcare Than Humans By 2020 | Business Wire

Machines To Get Better Preventative Healthcare Than Humans By 2020 | Business Wire

LONDON–(BUSINESS WIRE)–A new study from Vanson Bourne, sponsored by ServiceMax,

from GE

Digital, the leading provider of field service management solutions,

has found that 75% of IT and field service leaders makers believe that

machines will receive better, preventative healthcare than human beings

by 2020.

IT and field service leaders surveyed believe advancements in machines

having the ability to predict failure, and take preventative measures or

self-healing actions are widely viewed as beneficial to a company’s

bottom line. For example:

  • 46% of respondents say machines requesting help themselves will help

    their company better manage their equipment assets.

  • 39% of respondents say predictive maintenance would help better manage

    asset equipment.

  • 44% of respondents say digital twin with predictive maintenance and

    artificial intelligence would help prevent major failures.

  • 69% of respondents surveyed say they would like their own personal

    digital twin to help themselves and medical professionals regulate

    their health in non-invasive ways by taking early action and

    preventative measures.

The new study, “After

The Fall: Cost, Causes and Consequences of Unplanned Downtime,”

surveyed 450 field service and IT decision makers in the UK, US, France

and Germany across the manufacturing, medical, oil and gas, energy and

utilities, telecoms, distribution, logistics and transport sectors,

among others. According

to Gartner, by 2020, 10% of emergency field service work will be

both triggered and scheduled by artificial intelligence. The new study

highlights the impact of new technology like artificial intelligence,

analytics, and use of a digital twin on how we monitor industrial

machines to predict when a piece of equipment will fail and what

preventative service maintenance is required.

“In the same way that organizations want zero unplanned downtime with

their equipment assets to avoid expensive loss of production or service,

we want to mitigate our own human ‘outages,’” said Mark Homer, Vice

President Global Customer Transformation for ServiceMax, from GE

Digital. “This holistic view of how something is operating – whether

it’s a person, an equipment plant or an individual component in a

machine – has historically been disjointed and only visible when

something goes wrong. Today, organizations are now acutely aware of the

value of a real-time view on the health and performance of their

critical assets, as well as predictive analytics on when preventative

maintenance or intervention is required, and access to time series data,

service history and optimization demands. The research found that more

than half of companies are planning to invest in a digital twin in the

next three years. The value of these digital insights in an industrial

context is starting to generate interest in preventative maintenance in

a human context.”

A copy of the Vanson Bourne Whitepaper, Executive Summary and

Infographics, can be downloaded here.

About ServiceMax

ServiceMax, from GE Digital, leads the global industry of field service

management software – an estimated $25 billion market worldwide. The

company creates solutions for the 20 million people globally who

install, maintain, and repair machines across dozens of industries as

the leading provider of complete end-to-end mobile and cloud-based

technology for the sector.

About Vanson Bourne:

Vanson Bourne is an independent specialist in market research for the

technology sector. Their reputation for robust and credible

research-based analysis is founded upon rigorous research principles and

their ability to seek the opinions of senior decision makers across

technical and business functions, in all business sectors and all major

markets. For more information, visit

Be the first to comment - What do you think?  Posted by admin - October 20, 2017 at 1:01 am

Categories: Health   Tags: , , , , , ,

Artificial Intelligence (AI) in Health care


Artificial Intelligence (AI) is the science and engineering of earning intelligent devices, that have the computation skill to have interaction on behaviors that people contemplate intelligent. It develops Expert Techniques that runs conversational software – technologies that permits devices to converse with people in all-natural language. AI has progressed a prolonged way. It has began influencing choices. It has started to facilitate details details supply, review details developments, forecast, create details regularity, quantify uncertainty and recommend mitigating methods, anticipate buyers&#39 details desires, offer them the essential information and facts in the most ideal types, and even recommend alternate courses of motion.

Artificial Intelligence by means of Expert and awareness centered methods, is becoming made use of inside of the clinical natural environment. Expert Techniques comprise medical awareness and details repository, specially about a quite specific task, and are in a position to evaluate and purpose with this details gathered from specific patients to occur up with clarified conclusions. The awareness foundation inside of the professional method is derived from a established of guidelines.

As Enrico Coiera had laid out in his Guideline to Medical Informatics, the World-wide-web and Telemedicine, there are different clinical / health care jobs to which AI and professional methods can be used. Some of them are:

  • Building alerts and reminders. An professional method hooked up to a keep an eye on can alert of modifications in a affected individual&#39s situation. It might even scan laboratory check…


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Be the first to comment - What do you think?  Posted by admin - May 23, 2017 at 11:43 am

Categories: Health   Tags: , , , , , , , , , , , , , , , , , , , , , ,