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Path-breaking Study Reports High Sensitivity in Diabetic Retinopathy Screening Using Smartphones and Automated-AI in Primary-Care: Remidio Innovative Solutions

Photo source: ventureinsights.com.au

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Nearly 50% of patients with diabetes fail to get an annual eye examination done even in the US and EU. In many countries, less than 10% of patients referred to ophthalmologists by their primary-care physicians actually complete a dilated retinal examination.

Technology can play a role in empowering primary-care physicians. Primary-care based Diabetic Retinopathy (DR) screening can enable early detection, avoiding blindness due to DR for close to 425 million people living with diabetes globally.

In a study reported in JAMA Ophthalmology, a team from Aditya Jyot Foundation for Twinkling Little Eyes, Mumbai, India, screened patients with diabetes mellitus in civic dispensaries in Mumbai with smartphone-based retinal cameras from Remidio Innovative Solutions and validated the diagnostic accuracy of the integrated Medios AI to detect DR. Medios AI provides a retinal diagnosis report in less than 10 seconds, with inferencing done right on the smartphone.

The images captured on Remidio’s smartphone camera were subjected to automated analysis by Medios AI. They were simultaneously graded by vitreoretinal specialists. The Medios AI is composed of two different algorithms based on convolutional neural networks, one assessing the image-quality, and the other separating healthy images from images with referable DR (RDR).

The clinical sensitivity and specificity of the Medios AI algorithm were found to be 100% and 88.4% for RDR, 85.2% and 92.0% for any DR respectively, exceeding FDA’s superiority end points of an RDR sensitivity of 85% and specificity of 82.5%.

Dr. T.Y. Alvin Liu, MD, Assistant Professor, Ophthalmology at Johns Hopkins Bloomberg School of Public Health, in an invited commentary, calls the study “paradigm-shifting”.

Dr. Natarajan, the lead author of the study, opines, “The study paves the way in implementing large-scale models for screening for DR, even in locations with no Internet infrastructure. This is a step ahead of the approach taken by Google and other AI companies that need their AI models to run on external servers, necessitating Internet access.”

The device and automated AI are CE marked and available for use in the EU. Previous clinical studies validating the same device were published in Nature Eye and Ophthalmology Retina.

 

SOURCE Remidio Innovative Solutions Pvt. Ltd.

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Artificial Intelligence

U.S. News & World Report Announces 2020 Best Global Universities Rankings

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U.S. News & World Report, the global authority in education rankings, today published the 2020 edition of the Best Global Universities rankings. In the most comprehensive assessment of research universities worldwide, the new edition evaluates 1,500 schools – up from 1,250 last year – on academic research and reputation.

The top 10 schools in the overall ranking are all found in either the U.S. or the United KingdomHarvard University remains at No. 1, followed by Massachusetts Institute of TechnologyStanford University and the University of California—Berkeley at No. 2, 3 and 4, respectively. The University of Oxford rounds out the top five.

The new edition evaluates schools in 81 countries – up from 75 last year. The U.S. has the most universities in the overall ranking with 249, followed by the following countries:

  • China: 188
  • U.K.: 86
  • Japan: 82
  • Germany: 66

“As the Best Global Universities rankings continue to expand in number of schools and subjects to fulfill the needs of prospective students, we remain consistent in our mission to evaluate schools around the world on their research,” said Robert Morse, chief data strategist at U.S. News. “A major emphasis on academic research is what sets this methodology apart from our other university rankings.”

New this year are six additional subject rankings, bringing the total to 28: oncology, surgery, cardiac and cardiovascular systems, electrical and electronic engineering, mechanical engineering and civil engineering. In both the engineering and computer science rankings, four of the top 10 schools are based in China.

The following countries performed the best in each of these subjects, listed in order of most schools on each list:

Based on Web of Science data and InCites metrics provided by the Web of Science Group, the Best Global Universities methodology weighs factors that measure a university’s global and regional research reputation and academic research performance. For the overall rankings, this includes bibliometric indicators such as publications, citations and international collaboration. Each subject ranking has its own methodology based on academic research performance and reputation in that specific area.

“Many prospective students are looking to other countries for their education,” said Anita Narayan, managing editor of Education at U.S. News. “The Best Global Universities rankings give these students a starting point for their search. In addition to the rankings, students should also consider their fluency in the language of instruction, the fields of study that the school offers and the costs that come from studying in another country.”

2020 U.S. News & World Report Best Global Universities

Overall Best Global Universities – Top 10

  1. Harvard University (U.S.)
  2. Massachusetts Institute of Technology (U.S.)
  3. Stanford University (U.S.)
  4. University of California—Berkeley (U.S.)
  5. University of Oxford (U.K.)
  6. California Institute of Technology (U.S.)
  7. Columbia University (U.S.)
  8. Princeton University (U.S.)
  9. University of Cambridge (U.K.)
  10. University of Washington (U.S.)

Africa – Top 3

  1. University of Cape Town (South Africa)
  2. University of Witwatersrand (South Africa)
  3. Stellenbosch University (South Africa)

Asia – Top 3

  1. National University of Singapore
  2. Tsinghua University (China)
  3. Nanyang Technological University (Singapore)

Australia/New Zealand – Top 3

  1. University of Melbourne (Australia)
  2. University of Sydney
  3. University of Queensland (Australia)

Europe – Top 3

  1. University of Oxford (U.K.)
  2. University of Cambridge (U.K.)
  3. Imperial College London

Latin America – Top 3

  1. Universidade de São Paulo (Brazil)
  2. Pontificia University Católica de Chile
  3. State University of Campinas (Brazil)

The Best Global Universities rankings serve the broader U.S. News mission of providing trusted information and rankings – such as Best CollegesBest Graduate Schools and Best Online Programs – to help all students navigate their higher education options. Specifically for Chinese students, U.S. News offers online resource centers published in Chinese to help guide prospective undergraduate and graduate students interested in studying abroad.

 

SOURCE U.S. News & World Report

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SAS is No. 1 in advanced and predictive analytics market share, says analyst report

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SAS again ranks number one for market share, according to the IDC report, Worldwide Big Data and Analytics Software 2018 Market Shares: Demand Across All Use-Case Patterns.1

SAS led with a 27.7% market share in the advanced and predictive analytics category in 2018, more than twice that of the next competitor. SAS has led in the predictive and advanced analytics category since IDC started tracking the market in 1997 and has shown continued revenue growth in the category each year.

“As the volume and complexity of data grows, and as organizations seek to make better, faster business decisions, the need for advanced and predictive analytics like those from SAS is expanding,” said Chandana Gopal, Research Manager for Business Analytics at IDC. “SAS is the leader in advanced and predictive analytics market share and has experienced continued growth year over year.

“SAS continues to innovate in AI and the technologies that underpin it like machine learning, natural language generation and computer vision. The analytics leader remains laser-focused on meeting the market’s evolving need for powerful analytics to transform data into value.”

SAS reinvests into R&D more than twice the average for major technology firms. In 2018, SAS devoted 26% of its overall revenue into developing artificial intelligence (AI), IoT, data management and analytics software. To continue fostering innovation and progress in analytics, SAS has committed to invest $1 billion in AI over the next three years.

“Our continuous innovation, clearly exhibited in the SAS Platform and in SAS AI technologies, propels front-line managers, executives and data scientists to change the trajectory of their organizations with advanced analytics,” said Jim Goodnight, CEO of SAS. “Whether it’s providing teams of data scientists with advanced machine learning capabilities or delivering analytics that give decision makers real-time answers, SAS is committed to helping put data and analytics to work, making them accessible to all types of users and driving value to an organization’s bottom line.”

Additionally, SAS ranks second in AI software market share according to the IDC report, Worldwide Analytic Artificial Intelligence Software Platform Market Shares, 2018: Steady Growth – Moving Toward Production (Doc #US45262419, June 2019). The report notes that while the overall AI market saw steady growth last year, SAS experienced growth at a rate more than three times faster than the overall market at 104.6%.

The SAS® Platform provides a strong analytics foundation and a single place to manage and support every phase of an organization’s analytics journey, from initial gathering and preparing of data, through development, management and enterprise deployment of powerful analytical models. An integrated part of the SAS Platform, SAS® Viya® is a cloud-enabled, in-memory analytics engine that provides quick, accurate and reliable analytical insights.

Read about how SAS customers succeed with advanced analytics.

Today’s announcement was made at the Analytics Experience conference in Milan, Italy, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues.

 

SOURCE SAS

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Neurotechnology Ranks First in Latest MINEX III Results

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Neurotechnology, a provider of high-precision biometric identification technologies, today announced their latest results in the NIST MINEX III (Minutiae Interoperability Exchange) evaluation. Algorithms from Neurotechnology are top in accuracy and are ranked first in both leaderboard categories: 1) most interoperable fingerprint template generator and 2) most interoperable fingerprint template generator and matcher pair.

“I am proud of our research team for having created the most interoperable and accurate fingerprint recognition algorithm,” said Dr. Justas Kranauskas, head of the biometric research department for Neurotechnology. “An independent confirmation like this means that our customers can have confidence in our continually evolving and improving technologies.”

In addition to having the most interoperable solution, Neurotechnology’s template generator and template matcher are also the second fastest in the MINEX III evaluation leaderboard.

The currently topped-ranked Neurotechnology fingerprint algorithm evaluated at NIST MINEX III is included in the Neurotechnology MegaMatcher multibiometric product line which covers fingerprint (VeriFinger), face (VeriLook), eye iris (VeriEye) and voice (VeriSpeak) modalities. It is also included in solutions for large and national-scale applications in Neurotechnology’s MegaMatcher Automated Biometric Identification System (ABIS) and MegaMatcher Accelerator products.

The entire Neurotechnology biometric product line can be purchased from Neurotechnology and through distributors worldwide. For more information, go to www.neurotechnology.com.

 

SOURCE Neurotechnology

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