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BREAKING NEWS
AI In Medicine
AI In Medicine
Source: Thailand Medical News  Dec 07, 2019
Presently, colorectal cancer is the second most common type of cancer worldwide, with about 90% of cases occurring in people 50 or older. Arising from the inner surface, or muscosal layer, of the colon, cancerous cells can penetrate through the deeper layers of the colon and spread to other organs. Left untreated, the disease is fatal. Conventional colon cancer screening is performed by flexibl...
Source: Thailand Medical News  Dec 05, 2019
Typically, inflammation is a hallmark of many health conditions. However, quantifying how the underlying biology of inflammation contributes to specific diseases has been difficult. For the first time, UNC School of Medicine researchers and colleagues now report the development of a new technology to identify white blood cells called neutrophils that are primed to eject inflammatory DNA into the c...
Source: Thailand Medical News  Dec 03, 2019
An artificial intelligence company based in Florida,Care.ai has partnered with Google to create an autonomous patient monitoring system. By combining multiple sensors in a patient’s room and neural network data analysis, the system can identify and predict accidents and clinical events, in some cases warning healthcare staff before an incident happens.   Typically, preventable acciden...
Source: Thailand Medical News  Nov 24, 2019
Medical, Imaging and AI specialists from the Case Western Reserve University digital imaging lab, already pioneering the use of Artificial Intelligence (AI) to predict whether chemotherapy will be successful, can now determine which lung-cancer patients will benefit from expensive immunotherapy. Again utilizing AI algorithms, they're doing it by teaching a computer to find previously unseen c...
Source: Thailand Medical News  Nov 15, 2019
Medical and tech researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly it took a new system they studied that utilizes artificial intelligence to accurately identify key findings in chest X-rays of patients in the emergency department suspected of having pneumonia. The new study found that those ultra-quick findings may enable physicians read...
Source: Thailand Medical News  Oct 31, 2019
A novel study from The Sidney Kimmel Cancer Center - Jefferson Health has demonstrated that a non-invasive method of ultrasound imaging, combined with a Google-platform machine-learning algorithm, could be used as a rapid and inexpensive first screen for thyroid cancer. Typically, thyroid nodules are small lumps that form within the thyroid gland and are quite common in the general population, ...
Source: Thailand Medical News  Oct 30, 2019
Professor Anant Madabhushi, one of the world’s leading biomedical engineers who has authored over 380 peer-reviewed journal articles, the owner of over 120 patents  and is the acclaimed authority on AI and computational imaging as well as personalized diagnostics recently unveiled yet another study done at Case Western Reserve University that could help better determine which patie...
Source: Thailand Medical News  Oct 27, 2019
Scientists at University of California and University of Berkeley have developed an AI algorithm that did better than two out of four expert radiologists at finding tiny brain hemorrhages in head scans, a medical advancement that one day may help physicians treat individuals with traumatic brain injuries, strokes and aneurysms. The ever increasing advancement in diagnostic imaging studies, incl...
Source: Thailand Medical News  Oct 10, 2019
Typically as tumor cells multiply, they often generate tens of thousands of genetic mutations. Analyzing which ones are the most promising to target with immunotherapy is like finding a few needles in a haystack. Now a new model developed by researchers in the Abramson Cancer Center at the University of Pennsylvania hand-picks those needles so they can be leveraged in more effective, cus...
Source: Thailand Medical News  Sep 27, 2019
Medical researchers from Queen Mary University of London have created an AI based platform that could open the way to earlier identification of people at risk of heart failure and to the development of new treatments.   The team applied an artificial intelligence (AI) technique to analyse the heart MRI images of 17,200 healthy UK Biobank volunteers. They found that genetic ...