artificial intelligence (AI)

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Open Source Machine Learning Tools are as Good as Humans' in Cancer Surveillance According to Regenstrief, Indiana Univ. Study

Press Release | Indiana University | April 21, 2016

Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

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Open Source Oak Ridge Graph Analytics for Medical Innovation Receives R&D 100 Award

Press Release | U.S. Department of Energy, Oak Ridge National Laboratory | November 4, 2016

Researchers at the Department of Energy's Oak Ridge National Laboratory have received seven R&D 100 Awards in recognition of their significant advancements in science and technology. The honorees were recognized on Nov. 3 at the 54th annual R&D 100 Conference, sponsored by R&D Magazine. The awards, known as the "Oscars of Invention," honor innovative breakthroughs in materials science, biomedicine, consumer products and more from academia, industry and government-sponsored research agencies. This year's seven honors bring ORNL's total of R&D 100 awards to 200 since their inception in 1963...

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Open Source Projects Are Transforming Machine Learning and AI

Machine learning and artificial intelligence have quickly gained traction with the public through applications such as Apple’s Siri and Microsoft’s Cortana. The true promise of these disciplines, though, extends far beyond simple speech recognition performed on our smartphones.  New, open source tools are arriving that can run on affordable hardware and allow individuals and small organizations to perform prodigious data crunching and predictive tasks.

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OpenMRS Google Code-In Student Nji Collins Wins Grand Prize

In Nov. 2016, Nji Collins (aka Collin Grimm), a high school student from Bamenda, Cameroon, participated in Google Code-In, the global online coding contest which for pre-university students aged 13 to 17. GCI introduces young talented minds to the incredible open-source world. During the seven-week program, Grimm completed 20 tasks using the Open Medical Record System, or OpenMRS, a platform that focuses on improving healthcare service in developing countries. We spoke with the young programmer to learn more about his story and interest in computer science and how he came to compete in Google Code-In...

Pardon Me, Your Interface Is Showing

In a great post, "Doctor as Designer" Joyce Lee laments the "sad state of product and design in healthcare," and asks "when will device and drug companies create user-centered innovations that actually improve the lives of patients instead of their bottom line?" I heartily agree with Dr. Lee's point, and think the question can be extended to the rest of the health care system. Dr. Lee uses two examples to compare health care to consumer goods. Heinz took a product design -- the glass ketchup bottle -- that had been around for over a hundred years, and greatly improved the user experience by changing to a squeezable "upside down" bottle. This not only kept the ketchup from concentrating at the bottom but also avoided the need to hold the bottle at a special angle or to tap at a particular spot just to get the ketchup out...

Penn Medicine Releases Open Source, 'Self-Service' Artificial Intelligence Tool for Data Analytics

Press Release | Penn Medicine | May 16, 2019

The Penn Medicine Institute for Biomedical Informatics has launched a free, open-source automated machine learning system for data analysis that is designed for anyone to use, from a high school student looking to gain insight on their baseball team's statistics, to trained researchers looking for associations between cancer and environmental factors. "Penn AI," the first widely available tool of its kind, seeks to lower the barrier for entry into artificial intelligence, allowing users to bring in their own datasets or use the several hundred that are available for download within the tool. With a user-friendly dashboard easily run on a laptop, Penn AI is also designed to learn as it goes, ultimately making analysis suggestions based on the "experience" it gains through use.

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Questions About The FDA’s New Framework For Digital Health

Nathan G. Cortez, Nicolas Terry, and I. Glenn Cohen | Health Affairs Blog | August 16, 2017

In June 2017, the new Food and Drug Administration (FDA) commissioner Scott Gottlieb pre-announced his agency’s Digital Health Innovation Action Plan that indicates notable shifts in the agency’s approach to digital health technologies. This plan is an important step in FDA regulation of this area, a process that began in 2011 with a draft guidance, followed by significant congressional actions. The new changes should not be surprising, given critiques published by Gottlieb prior to re-joining the FDA...

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Recursion Releases Open Source Data from Largest Ever Dataset of Biological Images, Inviting Data Science Community to Develop New and Improved Machine Learning Algorithms for the Life Sciences Industry

Press Release | Recursion | May 6, 2019

Recursion, a Fast Company "Most Innovative Company" and leader in the artificial intelligence for drug discovery movement, today announced it will open-source a glimpse of the massive biological dataset the company has been building for more than five years. At more than two petabytes, and across more than 10 million different biological contexts, Recursion's data is the world's largest image-based dataset designed specifically for the development of machine learning algorithms in experimental biology and drug discovery.

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Report on ONC's Public Health Data Systems Hearing: Ensuring a Data-Driven Response to COVID-19

As part of HHS's response to President Biden's Executive Order on Ensuring a Data-Driven Response to COVID-19 and Future High-Consequence Public Health Threats, ONC's Health Information Technology Advisory Committee (HITAC) recently held an expert panel hearing to understand the performance of public health data systems during the COVID-19 pandemic response and other gap areas in current infrastructure ... Forthcoming recommendations from the Public Health Data Systems Task Force will identify and prioritize policy and technical gaps to be addressed in order to help ensure a more effective response to future public health threats. These recommendations are expected to be issued later this summer.

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Researchers Hid Malware Inside an AI's 'Neurons' and It Worked Scarily Well

Radhamely De Leon | Motherboard | July 22, 2021

Neural networks could be the next frontier for malware campaigns as they become more widely used, according to a new study. The study, which was posted to the arXiv preprint server on Monday, found that malware can be embedded directly into the artificial neurons that make up machine-learning models in a way that keeps them from being detected. The neural network would even be able to continue performing its set tasks normally.

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Robots Can Now Officially Imitate Humans

Kabir Chibber | Quartz | June 8, 2014

A computer that has convinced humans it is a 13-year-old Ukrainian boy has potentially passed a benchmark for artificial intelligence for the first time.  The programme, named “Eugene Goostman” and created by Russian developers, managed to convince 33% of the judges that it was human at an event at the Royal Society in London, The Independent reported...

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Robots in Healthcare - Will they do the Heavy Lifting?

There are already robots in health care.  Robotic surgery, delivery robots, robotic prescription dispensing systems, even therapeutic robots used in lieu of pet therapy  But we've just scratched the surface, because we still think of care as being something that is delivered by a person. People like to talk about the importance of the human touch, but when it comes to something like getting out of bed when I want to, I think I'd rather have immediate service from a robot than an indeterminate wait for help from an aide.  And there are some more unpleasant tasks -- like assistance with going to the bathroom -- where I'd prefer not to have to ask another person to help me at all.  Sometimes impersonal is better (just be gentle, please).

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RSNA Building an Open Repository of COVID-19 Imaging Data

Press Release | Radiological Society of North America (RSNA) | March 30, 2020

The medical imaging community around the world is uniting to help address the COVID-19 pandemic. The Radiological Society of North America (RSNA) continues to build on its extensive body of COVID-19 research and education resources, announcing a new initiative to build a COVID-19 Imaging Data Repository. The open data repository will compile images and correlative data from institutions, practices and societies around the world to create a comprehensive source for COVID-19 research and education efforts. The image hosting, annotation and analysis framework will enable researchers to understand epidemiological trends and to generate new AI algorithms to assist with COVID-19 disease detection, differentiation from other pneumonias and quantification of lung involvement on CT for prognosis or therapy planning.

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RSNA Launches International COVID-19 Open Radiology Database

Press Release | Radiological Society of North America (RSNA), RSNA COVID-19 AI Task Force | June 25, 2020

The Radiological Society of North America (RSNA) and the RSNA COVID-19 AI Task Force today announced the launch of the RSNA International COVID-19 Open Radiology Database (RICORD). RICORD is envisioned as the largest open database of anonymized COVID-19 medical images in the world. More than 200 institutions around the world have expressed their interest in participating. The database will include supporting clinical information and expert annotations. It will be freely available to the global research and education communities.

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Setting A Standard For Digital Public Goods

In June 2020, the Secretary-General of the United Nations published a "Roadmap for Digtal Cooperation." In this report, he expanded on recommendations made a year before, calling on all actors, including the Member States, the United Nations system, the private sector, and others, to promote digital public goods. He says to realize the benefits of increased internet connectivity, open source projects in the form of digital public goods must be at the center. While the term "digital public good" appears as early as April 2017, this report offers the first broadly accepted definition of digital public goods...The Digital Public Goods Alliance (DGPA) translated that definition into a nine-indicator open standard that we hope will serve as a comprehensive, shared definition to promote the discovery, development, use of, and investment in digital public goods for a more equitable world.