machine learning algorithms
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Apple Watch Leaves Patients Connected with Nowhere To Go
The highly anticipated unveiling of the Apple Watch Series 4 caused a news and social media sensation. Apple coined the iconic timepiece as the "guardian of your health", with health tracking functionalities such as the ability to detect atrial fibrillation (AFib) by a self-performed electrocardiogram (ECG). But from patients' and carepartners' perspectives, there is a long road to a universally accessible, seamlessly implemented, mass-adoption, and meaningful use for this wearable technology...Unfortunately, the vast majority of concerns in the public domain haven't emphasized the risks to health due to poor implementation, integration, and adoption strategies of digital tools and wearables.
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Artificial Intelligence and Machine Learning Bias has Dangerous Implications
Algorithms are everywhere in our world, and so is bias. From social media news feeds to streaming service recommendations to online shopping, computer algorithms—specifically, machine learning algorithms—have permeated our day-to-day world. As for bias, we need only examine the 2016 American election to understand how deeply—both implicitly and explicitly—it permeates our society as well. What’s often overlooked, however, is the intersection between these two: bias in computer algorithms themselves. Contrary to what many of us might think, technology is not objective...
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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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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
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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University of Chicago Awarded $20 Million To Host COVID-19 Medical Imaging Center
A new center hosted at the University of Chicago-co-led by the largest medical imaging professional organizations in the country-will help tackle the ongoing COVID-19 pandemic by curating a massive database of medical images to help better understand and treat the disease. Led by Prof. Maryellen Giger of UChicago Medicine, the Medical Imaging and Data Resource Center (MIDRC) will create an open-source database with medical images from thousands of COVID-19 patients. The center will be funded by a two-year, $20 million contract from the National Institute of Biomedical Imaging and Bioengineering at the National Institutes of Health (NIH).
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Will “Digital Fingerprint” Forensics Thwart the Data Thieves Lurking in Hospital EHR Corridors?
As Halloween approaches, the usual spate of horror movies will intrigue audiences across the US, replete with slashers named Jason or Freddie running amuck in the corridors of all too easily accessible hospitals. They grab a hospital gown and the zombies fit right in. While this is just a movie you can turn off, the real horror of patient data theft can follow you...Unfortunately, this horror movie scenario is similar to how data thefts often occur at medical facilities. In 2015, the healthcare industry was one of the top three hardest hit industries with serious data breaches and major attacks, along with government and manufacturers. Packed with a wealth of exploitable information such as credit card data, email addresses, Social Security numbers, employment information and medical history records, much of which will remain valid for years, if not decades and fetch a high price on the black market.
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