Researchers in the US have developed a rapid, artificial intelligence (AI)-based test that can identify patients with an abnormal heart rhythm, even when it appears normal. This 10 second test for atrial fibrillation could be a significant improvement over current test procedures that can take weeks or even years (Lancet 10.1016/S0140-6736(19)31721-0). Atrial fibrillation is a common
What are the most common clinical applications for 3D-printed models created from MRI scans of paediatric patients? A team from Ohio explored the various applications and the role radiologists play in production of the models in a new article, recently published online in the Journal of Magnetic Resonance Imaging. “We wanted to investigate 3D printing with
Thousands of patients at risk of type 2 diabetes are to receive digital support to help prevent them developing the condition as part of an expansion of these schemes on England’s NHS. NHS England said that pilot schemes showed that 24/7 access to online advice significantly boosted the numbers taking up the flagship Diabetes Prevention
Researchers have developed a soft neural implant that can be wirelessly controlled using a smartphone. It is the first wireless neural device capable of indefinitely delivering multiple drugs and multiple colour lights, which neuroscientists believe can speed up efforts to uncover brain diseases such as Parkinson’s, Alzheimer’s, addiction, depression, and pain. A team under Professor
Though the brain is a very slow machine, its capabilities exceed typical state-of-the-art, ultrafast artificial intelligence algorithms; hence, a revolution in deep learning must emerge, as experimentally and theoretically demonstrated by physicists Machine learning, introduced 70 years ago, is based on evidence of the dynamics of learning in our brain. Using the speed of modern
New system could free bench chemists from time-consuming tasks, may help inspire new molecules Guided by artificial intelligence and powered by a robotic platform, a system developed by MIT researchers moves a step closer to automating the production of small molecules that could be used in medicine, solar energy, and polymer chemistry. The system, described
These data provide a proof of concept that Apple products and other consumer devices can play a role in monitoring or identifying disease symptoms. Sensors from consumer-grade devices like iPhones, Apple Watches, iPads and Beddit sleep monitors capture enough data to spot mild cognitive impairment or Alzheimer’s disease dementia, according to a new feasibility study conducted jointly
Last week, CMS proposed two significant changes to remote patient monitoring (RPM) services reimbursed under the Medicare program. The changes, part of the proposed 2020 Physician Fee Schedule, have been hotly anticipated by digital health providers hoping to see more clarity and flexibility for RPM services. The creation of new RPM codes at the beginning of 2019 (CPT
Model replaces the laborious process of annotating massive patient datasets by hand. MIT computer scientists are hoping to accelerate the use of artificial intelligence to improve medical decision-making, by automating a key step that’s usually done by hand — and that’s becoming more laborious as certain datasets grow ever-larger. The field of predictive analytics holds
Collagen is the primary component of the extracellular matrix in the human body. It has proved challenging to fabricate collagen scaffolds capable of replicating the structure and function of tissues and organs.We present a method to 3D-bioprint collagen using freeform reversible embedding of suspended hydrogels (FRESH) to engineer components of the human heart at various
