Wearable Devices

Head-Worn Device Leverages ML, MEG, Distinguishes Between Hand Gestures

May 23, 2023 - Research from the University of California San Diego described a head-worn wearable device that leverages machine learning and a noninvasive brain imaging technique called magnetoencephalography (MEG) that could help distinguish between various hand gestures in patients with conditions such as paralysis or amputated limbs. Amputated limbs and...

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Can Machine Learning, Wearable Tech Help Treat Mental Health?

by Mark Melchionna

New research from the Icahn School of Medicine at Mount Sinai in New York indicated that using Apple Watch data, such as heart rate variability and resting heart rate, could assist in training machine...

Wearables, ML Predict ADHD, Sleep Problems in Children

by Shania Kennedy

A study published last month in JAMA Network Open describes how researchers combined data from wearable devices and machine-learning (ML) methodologies to help predict attention-deficit/hyperactivity...

Apple Watch, ML Can Predict Pain in Sickle Cell Disease Patients

by Shania Kennedy

In a paper published earlier this month in JMIR Formative Research, researchers explored the feasibility of using the Apple Watch to predict pain scores in hospitalized sickle cell disease patients and...

Case Report Demonstrates Potential Utility of AI in AFib Detection

by Shania Kennedy

In a recent case report published in Cureus, researchers discussed the benefits and challenges of artificial intelligence (AI) in healthcare while presenting a case of atrial fibrillation (AFib)...

New AI Model Can Predict Unplanned Hospitalization During Cancer Therapy

by Mark Melchionna

US-based researchers have created a new artificial intelligence (AI) model that uses data from consumer wearables, like daily step counts, to determine health outcomes during cancer therapy and predict...

Google, Fitbit Launch Data-Driven Remote Patient Monitoring Solution

by Shania Kennedy

Google Cloud and Fitbit Health Solutions have launched the Device Connect for Fitbit solution, which aims to give healthcare organizations a more holistic view of patients outside clinical settings...

Wearable AI Sensor Supports Personalized Health Data Processing, Analysis

by Shania Kennedy

New research from the University of Chicago’s Pritzker School of Molecular Engineering (PME) shows that a flexible, stretchable computing chip worn directly on the skin can collect and analyze...

How Limitations in AI, Wearables Impact Depression Research

by Shania Kennedy

Artificial intelligence (AI) and wearables have seen an uptick in interest from the healthcare sector in recent years. With the rise in demand for telemental healthcare during the pandemic, the push for digital transformation in mental...

Mayo Clinic-Developed AI Algorithm Can Detect Weak Heart Function

by Mark Melchionna

Mayo Clinic researchers have created an artificial intelligence (AI) algorithm that uses single-lead Apple Watch electrocardiogram signals to detect a weak heart pump, specifically low ventricular...

Wearable Sensors Can Detect COVID-19

by Mark Melchionna

While reviewing strategies for detecting and managing COVID-19, a recent study found that wearable sensors that monitor heart rate, skin temperature, and respiratory rate showed promise. Researchers...

Why UCI Researchers Created a Framework for Analyzing Wearables Data

by Anuja Vaidya

Wearables — electronic devices that can be worn as accessories — are gaining steam in healthcare, with Deloitte predicting that 320 million consumer health and wellness wearable devices will ship worldwide in 2022. These...

NYU Langone Health Announces Home-Based Brain Stimulation Program

by Jill McKeon

NYU Langone Health announced a new virtual brain stimulation program, which uses transcranial direct current stimulation (tDCS) to treat symptoms for various psychiatric and neurological conditions,...

Machine Learning Model Helps Predict Clinical Lab Test Results

by Jill McKeon

Applying machine learning to wearable device data could help predict clinical laboratory measurements without a visit to the doctor’s office, a new study published in Nature Medicine reveals. The...

Working Toward Seamless Care Delivery with Real-Time Data

by Jessica Kent

Current care delivery is, for the most part, conducted on an episodic basis. Patients generally see their doctors when they don’t feel well, limiting clinicians’ ability to provide...

Artificial Intelligence May Offer Insight into Parkinson’s Disease

by Jessica Kent

A team from Purdue University is leveraging artificial intelligence technology to collect and automatically measure the speech skills of people with Parkinson’s disease. According to the...

DoD, Philips Use Artificial Intelligence to Monitor COVID-19

by Jessica Kent

The US Defense Threat Reduction Agency (DTRA), the Defense Innovation Unit (DIU), and Philips have partnered to expand their artificial intelligence-based early warning system to monitor and contain...

NIH Provides Funding for COVID-19-Related Big Data Projects

by Jessica Kent

The National Institutes of Health (NIH) is offering contracts to seven companies and academic organizations to develop COVID-19-related digital technologies using big data. For more coronavirus...

Chronic Disease Management Projects Leverage AI, Data Analytics

by Jessica Kent

Howard University College of Medicine’s 1867 Health Innovations Project and AARP Innovation Labs will leverage artificial intelligence and data analytics to boost chronic disease management in...

ONC Projects Aim to Standardize SDOH Data for Precision Medicine

by Jessica Kent

The Office of the National Coordinator (ONC) is working to standardize the collection of social determinants of health data to help advance precision medicine and inform new treatments. Information...

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