Is science reality starting to resemble science fiction? Recently, researchers from multiple universities wrote a paper in Frontiers in Human Neuroscience that purportedly showed how AI can predict people’s personalities by studying their eye movements.
Recently emerging innovative technology could dramatically change how millions of people monitor their blood sugar levels: an approach that utilizes artificial intelligence (AI) and radar technology, including high-frequency radio waves to monitor blood sugar levels without the need for finger pricking.
Researchers at Massachusetts General Hospital (MGH) have come up with a new technique based on artificial intelligence and machine learning that allows clinicians to acquire higher quality images without having to collect additional data. In a paper appearing in the journal Nature, this technique is referred to as AUTOMAP (Automated Transform By Manifold Approximation).
According to experts in the field there’s no sure way to diagnose Alzheimer’s. There are individual tests or brain scans that can uncover the disease. Physicians can check out a patient’s medical history and observations reported by family members or health-care workers.
According to a new survey by EY, consumers are already comfortable using digital technologies in health concerns, and many are ready for more Read More
Ochsner Health System in New Orleans has teamed up with Epic and Microsoft to determine if technology can be used to find out which patients will code before they suffer a cardiac or respiratory arrest.
According to a study, “take-home” robots could be instrumental in helping patients recover from illness in their home environment.
After being discharged from the hospital, a robot could help patients with Chronic Obstructive Pulmonary Disease (COPD) manage their condition.
The Journal of Medical Internet Research reported that socially assistive robots can help patients stick to their medication and exercises. The test was conducted with patients suffering from COPD.
There is a growing new field of medical health technology called digital phenotyping. It puts forth the theory that a person’s use of all digital media—social media posts, phone use, etc.–could reveal the person’s physical and mental health status.
The 2018 Security Metrics Guide to HIPPA Compliance is a great source of security tips and regulatory insights on how to protect patient data from attack. It provides benchmark data on what other institutions are doing.
This week, a group of researchers published a new study that demonstrates how a novel brain imaging technique can identify people who have suicidal thoughts, simply by presenting them with certain key words, asking them to reflect on their meanings, and using machine learning to analyze that brain activity.
The results of the study, published in the journal Nature Human Behaviour, challenge the common stereotype that suicidal people could change their perspective if they exerted more effort; the data suggests that suicidal feelings and thoughts are deeply intertwined with the way the brain processes information.
“Suicidality isn’t that you can’t cope with life; it’s that you’ve somehow gotten into a pattern of thinking that leads you to consider suicide,” states Marcel Just, a cognitive neuroscientist and the study’s lead author, and a professor of psychology at Carnegie Mellon University.