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Crowdsourcing has become an increasingly popular way to develop machine learning algorithms to address many clinical problems in a variety of illnesses. Today at the American College of Rheumatology (ACR) annual meeting, a multicenter team led by an investigator from Hospital for Special Surgery (HSS) presented the results from the RA2-DREAM Challenge, a crowdsourced effort […]
Researchers at Duke University and the University of Pittsburgh have developed a platform that allows multiple hospitals and research centers to share private patient data securely to better train machine learning models. The technology could provide single institutions access to advanced predictive tools they could never develop on their own to both advance research and […]
A novel artificial intelligence blood testing technology developed by researchers at the Johns Hopkins Kimmel Cancer Center was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer. The test approach, called DELFI (DNA evaluation of fragments for early interception), spots unique patterns in the fragmentation of […]
Artificial intelligence has made leaps and bounds in medical science, helping doctors perform the most complex surgeries with greater accuracy than ever before. Now, as startling as it may sound, a new algorithm has been developed by researchers of Stanford University which can assess the correct time of demise of patients who are admitted to […]
A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke. Atrial fibrillation is the most common cardiac arrhythmia and is associated with numerous health risks, including stroke and death. The study, published in Circulation, used electrical signals from the heart—measured from […]
In a new perspective piece “Transparency and reproducibility in artificial intelligence” published this week in the journal Nature, an international group of scientists including CUNY Graduate School of Public Health and Health Policy (CUNY SPH) Associate Professor Levi Waldron raised concerns about the lack of transparency in publication of artificial intelligence algorithms for health applications. […]
(HealthDay)—A new artificial intelligence algorithm can predict risk for age-related macular degeneration (AMD), according to a study published in the April issue of Translational Vision Science and Technology. Alauddin Bhuiyan, Ph.D., from iHealthScreen Inc. in New York City, and colleagues used 116,875 color fundus photos from 4,139 participants of the Age-related Eye Disease Study to […]
Artificial intelligence has made leaps and bounds in medical science, helping doctors perform the most complex surgeries with greater accuracy than ever before. Now, as startling as it may sound, a new algorithm has been developed by researchers of Stanford University which can assess the correct time of demise of patients who are admitted to […]
AI can estimate a patient’s risk of dying from heart disease by analysing just 15 minutes of scans, scientists claim Massachusetts Institute of Technology created a system called RiskCardio The technology was made for patients with acute coronary syndrome Draws on sample of ECG data to sort a patient into a ‘risk category’ Scientists in […]
The ‘holy grail’ of cancer treatment: Scientists take a huge step towards personalised therapies after developing an AI model that predicts how tumours will respond to drugs Could help doctors identify the best treatment and drug dose for each patient The model may be available on the NHS in as little as 10 years time […]