Andrew Ng and Stanford colleagues used AI to detect pneumonia from x-rays with similar accuracy to trained radiologists. The CheXNet model analyzed 112,200 frontal-view X-ray images of 30,805 unique patients released by the NIH...
In a small study, USC’s Dong Song demonstrated the efficacy of an implantable “memory prosthesis.” Dr. Song presented his work at the Society for Neuroscience conference in Washington this week. 20 volunteers had the device...
MIT’s Ed Boyden and Paris Descartes University’s Valentina Emiliani have developed a new optogenetic technique, combined with new opsins, that stimulates individual cells with precise control over both the timing and location of the activation. This will...
Recorded at ApplySci’s Wearable Tech + Digital Health + Neurotech Boston conference on September 19th at the MIT Media Lab.
Neuropixels, developed by HHMI’s Tim Harris, are electrodes that record brain activity from hundreds of neurons. Previously, it was not possible to measure the joint activity of individual neurons distributed across brain regions. Recording methods...
AutoDepth by Swift Medical uses a phone’s camera to understand a wound’s depth and severity. Algorithms process dynamic changes over time. Depth can indicate whether a wound is healing properly. The system is noninvasive, and...
David Brent and PIttsburgh and Carnegie Mellon colleagues used machine learning to identify suicidal thoughts in subjects based on fMRI scans. In a recent study, 18 suicidal participants and 18 members of a control...
Migraine Alert by Second Opinion Health uses machine learning to analayze weather, activity, sleep, and stress, to determine if a user will have a migraine headache. The company claims that the algorithm is effective...
Recorded at ApplySci’s Wearable Tech + Digital Health + Neurotech conference on September 19th at the MIT Media Lab. Join ApplySci at Wearable Tech + Digital Health + Neurotech Silicon Valley on February 26-27,...
Yuichi Mori and Showa University colleagues haved used AI to identify bowel cancer by analyzing colonoscopy derived polyps in less than a second. The system compares a magnified view of a colorectal polyp with 30,000...