Focal One® high-intensity focused ultrasound uses high-intensity sound waves to destroy a cancer tumor. It’s delivered through a rectal ultrasound probe. There are no incisions. Most patients need no pain medication after treatment. And there are fewer side effects than with radiation therapy or prostate removal.
Robotically assisted heart surgery is a minimally invasive option most often used for mitral valve repair. Cleveland Clinic cardiothoracic surgeons explain how it works and what to expect.
Kay suffered from debilitating muscle cramping and lower back pain due to spondylolisthesis, a common condition in the lumbar spine. When nonsurgical treatment options failed, she turned to spine neurosurgeon Timothy Witham for help. He used a new augmented reality technology to accurately place spinal instrumentation in her back. Seven months after surgery, Kay has resumed her daily pursuits without pain and is enjoying life.
Join CNET during CES 2021 for talks with three medical luminaries to discuss what we’ve gained — and need to fix — with telehealth over a turbulent pandemic year.
Technology has made it possible for people to virtually access their healthcare providers. During COVID-19, this has enabled patients and doctors to avoid excess exposure and travel for non-emergency visits. However, state and local regulations frequently limit or ban telemedicine for health and safety reasons. Should telemedicine be considered as the same or different from traditional office visits, and what regulations should govern it? Anastasia P. Boden is an attorney at the Pacific Legal Foundation.
NYU Langone’s Kimmel Pavilion is home to the region’s newest and most technologically sophisticated neurosurgery suite. Designed to optimize patient care, our facilities are just one reason U.S. News & World Report’s “Best Hospitals” ranks NYU Langone among the top 10 hospitals in the country for neurology and neurosurgery.
Learn more about neurosurgery at NYU Langone and meet our renowned surgeons: https://nyulangone.org/locations/neur…
In the future, remote monitoring of health data using wireless–enabled devices that measure a person’s weight, blood pressure, blood sugar, pulse, and heart rhythm could further advance telehealth’s promise.
“I imagine a world where we are continuously monitoring key health factors and using artificial intelligence to monitor those signals,” says Dr. Schwamm.
From a patient’s perspective, virtual visits save a lot of time. You don’t need to take time off work or other commitments to drive, park, and sit in a waiting room before your visit. And even though you’re not in the same room, you may actually get more direct eye contact with your physician, thanks to the face-to-face nature of video calling.
Another advantage: you may be able to have another person — such as a family member who lives across town or across the country — join the video call. That could be especially helpful if you’re facing an upcoming procedure or discussing a serious health concern. Just as with in-person visits, it’s nice to have another person listening, asking questions, and taking notes.
This training guide provides instructions on how to install Keck Medicine of USC’s TeleCARE platform on your Android phone.
Overall, the algorithm correctly identified the presence of diabetes in up to 81 percent of patients in two separate datasets. When the algorithm was tested in an additional dataset of patients enrolled from in-person clinics, it correctly identified 82 percent of patients with diabetes.
In the Nature Medicine study, UCSF researchers obtained nearly 3 million PPG recordings from 53,870 patients in the Health eHeart Study who used the Azumio Instant Heart Rate app on the iPhone and reported having been diagnosed with diabetes by a health care provider. This data was used to both develop and validate a deep-learning algorithm to detect the presence of diabetes using smartphone-measured PPG signals.
Among the patients that the algorithm predicted did not have diabetes, 92 to 97 percent indeed did not have the disease across the validation datasets. When this PPG-derived prediction was combined with other easily obtainable patient information, such as age, gender, body mass index and race/ethnicity, predictive performance improved further.