OCR Issues Warning For ATP And Zero-Day Exploits

All the industries including healthcare, have integrated information technology with its operations. Of late, no business operation can be done without involving technology in it. The healthcare sector, in particular, deals with an extensive mass of data which becomes easy to be handled with the help of the latest data management technologies available with the […]

April 2019 Sets Record For Healthcare Breaches

Healthcare is a domain that uses data extensively. All the records associated with the patients regarding their medicines, methods of treatment, diagnosis, pathological tests, and results are maintained in data format these days for convenience. Hence, the healthcare industry is one of those industries that depend largely on the data for smooth operations. However, with […]

Machine Learning Predicts Psychosis with 93% Accuracy

Identifying the signs and symptoms of psychosis is an extremely difficult task for doctors and care givers. Psychosis leads to a gradual decline in cognitive functioning. It is typically characterised with changes in communication patterns, thoughts and perceptions. However, these changes are extremely subtle and are hard to diagnose. Psychosis is an irreversible condition and […]

Burnout is Now Classified by the World Health Organization

The World Health Organization (WHO) has now classified burnout as a typical “syndrome conceptualized as resulting from chronic workplace stress that has not been successfully  managed.” WHO added burnout to the international classification of diseases, on May 28, and gave it an ICD-11 code. Although WHO classifies burnout as an occupational phenomenon, not a medical […]

FDA Prepares to Regulate AI in Medical Devices

New and advanced AI innovations are increasingly touching medical devices.  According to the Roll Call report, the FDA is already struggling with the reality of regulating all living things in a much better way. Looking forward, traditional ways of regulating medical devices are unlikely to work for the latest innovations powered by AI. At present, […]

Generation ‘Alpha’ to Live in the Age of AI

Generation Alpha is the new name for the first generation to be born in the 21st century. They shall never know life beyond smartphones and smart assistants. It is predicted that they would be as dependent on AI as Generation Z and Millenials are on the internet. Peter Rejcek, a journalist, takes a dig at how AI is about the change the world, and how it would affect AI development moving forward. Singularity Hub published his post on May 14, which naturally focuses on healthcare figures. Rejcek writes, “AI is already transforming healthcare and longevity research. Machines are helping to design drugs faster and detect disease earlier.” Though it is not new, Rejcek has summarized a few specific recent studies on the influence of AI in healthcare, and he pointed out that artificial intelligence (AI) appears in approximately 90,000 publications archived on PubMed. He has also looked into the coming role of AI for Generation Alpha, born between 2011 and 2025, both in research and education. Introducing the AI Doctor The healthcare industry has adopted AI like none other, making it an integral part of the business. In fact, AI has already transformed healthcare plus longevity research. In fact, machines are now assisting drug design and earlier disease detection. It is also predicted that AI would influence not just diagnosis and treatment of diseases in children, but also how we choose which child would be born first. An NPJ Digital Medicine study published by the Weill Cornell Medicine scientist used 12,000 human embryo photos taken after five days of fertilization to train AI algorithms on how to suggest which in vitro fertilized embryo had the best chances of successful pregnancy based on quality. Each embryo was assigned a grade based on different aspects of appearance. Investigators used statistical analysis to correlate that grade with the chances of success. Stork, the algorithm, successfully classified the quality of a new set of photos having 97 percent accuracy. Dr. Olivier Elemento, director of the Caryl and Israel Englander Institute for Precision Medicine at Weill Cornell Medicine, was quoted in a press release as he said, “Our algorithm will help embryologists maximize the chances that their patients will have a single healthy pregnancy. The IVF procedure will remain the same but we’ll be able to improve outcomes by harnessing the power of artificial intelligence.” Other doctors and medical researchers have identified the potential of applying AI to detect signs of possible developmental issues in newborns. European scientists are working with a Finnish AI startup to create seizure monitoring technology. They have developed a technique to detect movement patterns, which might indicate conditions such as cerebral palsy. The study was published in the journal, Acta Pediatrica, which relief on an algorithm for extracting the movement from a newborn, and further turning it into a simple “stick-figure” that medical experts could use to detect clinically relevant data. Researchers are continuously improving […]

Hospital Bill Private Insurance More than Outpatient

According to a report published by RAND, private health insurance plans covering the majority of the population of America paid higher rates of insurance to hospitals compared to similar public plans like Medicaid and Medicare. Going by facts, in 2017, mix-adjusted hospital rates were at 241 percent of Medicare prices, as per findings. The study also considered a negotiated amount of hospital prices relative to Medicare reimbursements for the procedures as well as facilities. People who were enrolled in private healthcare plans were employer-sponsored. If hospital rates to Medicare costs were cut from 2015 to 2017, it would have easily saved $7.7 billion in overall healthcare expenditure for employers, reports RAND. Key Considerations – RAND Report As large discrepancies […]

Facial Recognition Trained to Keep Watch over Seated Hospital Patients

In the latest development, facial recognition technology is all set to be used for monitoring sedated patients in the intensive care units (ICU). It would alert healthcare workers when patients accidentally remove a breathing tube or engage in some other behavior that could affect their health. On June 3, the study was presented at the annual meeting of the European Society of Anesthesiology in Vienna. When the concept was introduced, it was analyzed and found to have a 75 percent accuracy rate, which is a moderate level. In a Japanese study, scientists have trained an algorithm of 99 images from cameras aiming at the face of 24 ICU patients. Concept Research & Analysis Akane Sato, the lead author of the study […]

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