artificial intelligence (AI)

See the following -

Interoperability As A Service (IAAS): The AI Enabled Blockchain

Edward Bukstel | LinkedIn | April 18, 2017

It’s time for patients to come to terms with the fact that there is no financial incentive for healthcare providers to consolidate and normalize data from disparate providers. Patients must be cautious maintaining their patient records on a blockchain or another platform that cannot be used by other institutions, providers, or entities. Without portability, blockchains will add little value to advance patient medical record mobility. Healthcare providers may discover some indirect benefits from the consolidation of medical records — even records not immediately accessible by patients...

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Introducing OpenAI

Greg Brockman, Ilya Sutskever, and the OpenAI team | OpenAI blog | December 11, 2015

OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact. We believe AI should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible.The outcome of this venture is uncertain and the work is difficult, but we believe the goal and the structure are right. We hope this is what matters most to the best in the field.

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Irvine, Calif-Based Health Tech Firm Acquires Growth Strategy Funding for NICU Mobile App

Press Release | Rapid Healthcare, Inc. | November 17, 2016

Rapid Healthcare Inc., a mobile medical apps software company based in Irvine, California, is proud to announce an important alliance that will increase growth strategies for improved access to health care professionals through funding provided by Watermark Venture Capital. Watermark is a privately held California firm currently deploying its services to support large national companies to start-ups. Watermark Venture Capital selects award candidates for capital infusion, based in key technology growth areas such as the healthcare, artificial intelligence, SaaS and more...

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Is China Already in the 21st Century in the Fields of AI for Healthcare and Quantum Computing?

It is 2018 everywhere, but not every country is treating being in the 21st century equally. China is rushing into it, even in healthcare, while the United States is tip-toeing its way towards the future. Especially in healthcare. Ready or not, the future is here...and the U.S. may not be ready...Artificial Intelligence: Yes, the U.S. has been the leader in A.I., with some of the leading universities and tech companies working on it. That may not be enough. A year ago China announced that it intended to be the world leader in A.I. by 2025. The Next Web recently concluded that China's progress since then "remains unchecked." China is far outspending the U.S. on A.I. research and infrastructure, coordinating efforts between government, research institutes, universities, and private companies. Dr. Steven White, a professor at China's Tsinghua University, "likens the country's succeed at all costs AI program to Russia's Sputnik moment." We have yet to have that wake-up call...

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Is Machine Learning for the Birds?

Cacophony Project uses the latest technology to monitor and protect endangered bird populations against predators. The Cacophony Project's broad vision is to bring back New Zealand's native birds using the latest technology to monitor bird populations and humanely eliminate the introduced predators that are endangering them. The project started in our founder's backyard to measure the effectiveness of his efforts to protect the birds on his property. From this simple beginning, the project has quickly grown into a system that includes two edge devices, a cloud server, and automatic identification of animals using machine learning. The project has been completely open source from the beginning and sees regular contributions from a wide variety of volunteers.

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It's 2019. Smartphones are Out...On to the Next Big Thing...

It's amusing to watch old movies where plot points often involved someone's inability to talk to the person they needed, in the pre-mobile phone era. We take our smartphone's omnipresence and virtual omnipotence as a given in our daily lives and treat even its temporary loss as a major inconvenience. So why are people already wondering if the smartphone era is almost over? Speculation on this is not new (voice has been touted as the next big platform for years), but intensified after Apple announced reduced revenue expectations earlier this year -- the first time in 16 years. It specifically cited slower iPhone sales in China and, even more jarring, said it would no longer break out unit sales of iPhones...

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Lebanon Should Not Miss Out On The Next Big Technological Advance: Mechatronics

Barbar Akle | Executive Magazine | December 11, 2014

...Currently, the field of automation and robotics is experiencing rapid developments due to the accelerated progress of artificial intelligence, computer vision, micromanufacturing and rapid prototyping. This means that complex and intelligent machines will start replacing some jobs, while also providing convenience and personal assistance...

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Leveraging Artificial Intelligence in Search and Rescue Operations

Press Release | Perdue University | May 1, 2019

Rescue teams descended on the destruction left by Hurricane Michael in October, frantically searching for survivors. But a week later, more than 1,000 people were still not accounted for, leaving families to wait and hope.Drone assistance in natural disaster response now is simplistic at best with a number of hurdles. But new research led by Purdue University professors is working to use artificial intelligence and learning algorithms to create a platform allowing multiple drones to communicate and adapt as mission factors change.

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Leveraging the "Learning Health Community" Concept in Education

This idea of an iterative engaged learning environment (we can call it a “Learning Health Community”) is not far-fetched. Such a system would require quality evidence-based data and information delivered in real-time based on the real-world experiences of millions of patients. As new verified information and data develop, these would be incorporated and then deployed. We would harness the power of existing and future knowledge in a form that is usable by both medical professionals and the patients they serve. The questioning fathers and others similarly situated could access the Internet for augmented and personalized health information.

Machine Learning in Healthcare: Part 1 - Learn the Basics

This article is the first in a three-part series that will discuss how machine learning impacts healthcare. The first article will be an overview defining machine learning and explaining how it fits into the larger fields of data science and artificial intelligence. The second article will discuss machine learning tools available to the average healthcare worker. The third article will use a common open source machine learning software application to analyze a healthcare spreadsheet. Part I was written to help healthcare workers understand the fundamentals of machine learning and to make them aware that there are simple and affordable programs available that do not require programming skills or mathematics background...

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Machine Learning in Healthcare: Part 3 - Time for a Hands-On Test

Every inpatient and outpatient EHR could theoretically be integrated with a machine learning platform to generate predictions, in order to alert clinicians about important events such as sepsis, pulmonary emboli, etc. This approach may become essential when genetic information is also included in the EHR which would mandate more advanced computation. However, using machine learning and artificial intelligence (AI) in every EHR will be a significant undertaking because not only do subject matter experts and data scientists need to create and validate the models, they must be re-tested over time and tested in a variety of patient populations. Models could change over time and might not work well in every healthcare system. Moreover, the predictive performance must be clinically, and not just statistically significant, otherwise, they will be another source of “alert fatigue.”

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Make No Little Plans

Ever seen the new TV show 'Pure Genius'?  Probably not; its ratings are dismal.  I've seen it, and, well, it isn't very good.  But what I like is the premise: a young tech billionaire builds a hospital using only the latest technology, and treats patients regardless of cost. Gotta give the creators props for trying to re-imagine hospitals.  The health care industry could do with some serious attempts at re-imaging, and not just for hospitals. What made me think about this were two stories about the auto industry, which is desperately trying to remain relevant in a world of Uber, self-driving cars, and our love affair with our various digital devices...

Many Healthcare Technologies Are Married to the Fee-for-Service Model

Juliet Preston | MedCity News | January 10, 2017

Monday’s 5 p.m. digital health panel at the J.P. Morgan Healthcare Conference happened to coincide with a presentation given by the popular U.S. Vice President Joe Biden. Some attendees were torn. For those that did make it, panel moderator Bob Kocher promised some topical debates far more interesting than that “moon-thing” Biden has been up to. It was all of the fun, without the metal detectors. A partner at Venrock Ventures, Bob Kocher set the stage with some fundamental observations about how technology can help enhance healthcare for all stakeholders...

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Microsoft and Partners Combine the Cloud, AI, Research and Industry Expertise to Focus on Transforming Health Care

Peter Lee | Microsoft Blog | February 16, 2017

...Healthcare NExT, a new initiative to dramatically transform health care, will deeply integrate greenfield research and health technology product development, as well as establish a new model at Microsoft for strategic health industry partnerships. Through these collaborations between health care partners and Microsoft’s AI and Research organization, our goal is to enable a new wave of innovation and impact using Microsoft’s deep AI expertise and global-scale cloud.This initiative includes investments in resources for our partners to capture new opportunities to apply AI to healthcare, such as the Microsoft AI in Health Partner Alliance, an expanding group of partners focused on advancing health technology. Alliance members will receive unique training and access to Microsoft technologies, engineering expertise and data sets. Read More »

Microsoft, Amazon, Google, IBM, Oracle, and Salesforce Issue Joint Statement Making Commitment to Open Source Healthcare Interoperability

Josh Mandel | Microsoft Industry Blog | August 13, 2018

Interoperability is an overlapping set of technical and policy challenges, from data access to common data models to information exchange to workflow integration – and these challenges often pose a barrier to healthcare innovation. Microsoft has been engaged for many years on developing best practices for interoperability across industries. Today, as health IT community leaders get together at the CMS Blue Button 2.0 Developer Conference here in Washington, DC, we’re pleased to announce that Microsoft has joined with Amazon, Google, IBM, Oracle, and Salesforce in support of healthcare interoperability...

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