Tag: Digital medicine
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review
Globally, there is a growing acknowledgment of Indigenous Peoples’ rights to control data related to their communities. This is seen in the development of Indigenous Data Governance standards. As health data collection increases, it’s…
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What’s the ‘concept car’ for what digital health should be?
ORLANDO – It’s going to take more than tech-first approaches to achieve the quadruple aim, and despite intense focus on how to leverage and safeguard artificial intelligence to enhance care delivery – the topic…
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Informing immunotherapy with multi-omics driven machine learning
Progress in sequencing technologies and clinical experiments has revolutionized immunotherapy on solid and hematologic malignancies. However, the benefits of immunotherapy are limited to specific patient subsets, posing challenges for broader application. To improve its…
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Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance
Mobile Health (mHealth) has the potential to be transformative in the management of chronic conditions. Machine learning can leverage self-reported data collected with apps to predict periods of increased health risk, alert users, and…
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Modeling multiple sclerosis using mobile and wearable sensor data
Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the leading cause of non-traumatic disability in young adults. Clinical laboratory tests and neuroimaging studies are the standard methods to…
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Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach
Despite the importance of informed consent in healthcare, the readability and specificity of consent forms often impede patients’ comprehension. This study investigates the use of GPT-4 to simplify surgical consent forms and introduces an…
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Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks
We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients’ hospital utilization and mortality. We use a unique dataset containing 44 million records of almost all inpatient stays from 2003…
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Contextualizing remote fall risk: Video data capture and implementing ethical AI
Wearable inertial measurement units (IMUs) are being used to quantify gait characteristics that are associated with increased fall risk, but the current limitation is the lack of contextual information that would clarify IMU data….
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Ochsner Digital Medicine Partners with Humana Healthy Horizons
What You Should Know: – Ochsner Digital Medicine, a leader in remote patient management, has partnered with Humana Healthy Horizons, Louisiana’s Medicaid plan, to offer digital health programs for members diagnosed with hypertension and…
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