AASM SleepTM

The AASM will discontinue its SleepTM telemedicine service in one year, shifting its focus to advocate for telehealth reimbursement and equip members to integrate telemedicine. New subscriptions will no longer be accepted after Sept. 30. ow.ly/Q7T250G82ZD

Mayo Clinic and Google Research developed an #artificialintelligence tool to provide better care for patients using #brain stimulation devices. ow.ly/Trrv50G82Bb #AI

New #AI deep learning algorithm called Phe2vec can help accelerate clinical research by learning how to identify disease phenotypes from patient electronic health records. ow.ly/Q16450G7kyI #deeplearning #artificialintelligence

An #artificialintelligence (AI) program can spot signs of lung cancer on CT scans a year before they can be diagnosed with existing methods, according to research presented today at #ERSCongress. ow.ly/wclO50G6BlO #AI

Compared with commonly used clinical risk factors, a sophisticated type of #artificialintelligence (AI) called deep learning does a better job distinguishing between the mammograms of women who will later develop breast #cancer & those who will not. ow.ly/vGLY50G5RLX #AI

Researchers from Kaunas universities in Lithuania developed a #deeplearning based method that can predict the possible onset of #Alzheimers disease from brain images with an accuracy of over 99 percent. ow.ly/J4wi50G43lL

Researchers created an #artificialintelligence technique to enhance diagnostic tools that study biopsied tissue samples. ow.ly/Nj7a50G3qIf #AI

Artificial intelligence (#AI) can be used to give #stroke patients a personalized and more accurate risk for suffering a recurrence, according to a new study presented today at #ESOC2021. ow.ly/QPiZ50G2EJS #artificialintelligence

A new AI technology for heart imaging can potentially improve care for patients, allowing doctors to examine their hearts for scar tissue while eliminating the need for contrast injections required for traditional cardiovascular magnetic resonance imaging. ow.ly/NkS450G1Uhe

Carbon nanotube thread woven into athletic shirts gathered electrocardiogram and heart rate data that matched standard monitors and beat chest-strap monitors. ow.ly/V8XT50G18Ou #wearables #mHealth

An engineering researcher has modified a #smartwatch to reduce #stress. The new technology monitors sweat to infer brain stress and, when detected, sends a message through the smartwatch to calm down. ow.ly/kbFa50FZO5y #mHealth

UniSA researchers have designed a computer vision system that can automatically detect a tiny baby’s face in a hospital bed & remotely monitor its vital signs from a digital camera with the same accuracy as an electrocardiogram machine. ow.ly/60dF50FYZFQ #AI

Johns Hopkins Kimmel Cancer Center researchers developed novel #artificialintelligence blood testing technology to detect lung #cancer in patients. ow.ly/Ggko50FYcce

The U.S. Navy is deploying #wearable devices, such as smart watches and smart rings, to monitor and manage #fatigue among sailors, the Naval Health Research Center said. ow.ly/Ymwz50FVfuD

Physicians at the Mount Sinai Health System have developed an #mHealth app to improve care coordination and speed up care delivery for #heartattack patients. ow.ly/81cy50FUqGr

Stanford is exploring consumer #wearable devices, including Apple Watches and Fitbits, to monitor #heartrates and predict #COVID19 symptoms. ow.ly/tOEw50FTHIf

Apple is delving further into #wearable based health monitoring, and in a research paper published last week details the promise of estimating #respiratory rates with the help of AirPods. ow.ly/13PC50FST6I

Using #artificialintelligence technology, researchers developed and validated an image-based detection model for #COVID19. The model analyzes lung images and can detect COVID-19 infection. ow.ly/fnsU50FS8GG #AI

Health systems across the country are literally saving lives through telestroke services, which use #connectedhealth channels to speed up diagnosis and treatment for stroke victims. ow.ly/NSM550FQL29 #telemedicine #telehealth

Researchers using #artificialintelligence developed a method to determine which skin cancers could be highly metastatic. ow.ly/VG7Q50FQ3ls #AI #machinelearning