Background: Motion tracking technologies serve as crucial links between physical activities and health care insights, facilitating data acquisition essential for analyzing and intervening in physical activity. Yet, systematic methodologies for evaluating motion tracking data,…
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Table of Contents
1. Introduction
2. Understanding the Gut-Brain Axis
3. The Role of Machine Learning in Studying Metabolite-Receptor Interactions
4. Research Findings: Uncovering the Link between Metabolites and Alzheimer’s
5. Implications and Future Directions
6. FAQs about Machine Learning,…
As the burden of documentation and various other administrative duties has increased, physician burnout has reached historical levels. In response, EHR vendors are embedding generative AI tools to aid physicians by drafting their responses…
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Digital health innovation is expected to transform healthcare, but it also generates ethical and societal concerns, such as privacy risks, and biases that can compound existing health inequalities. While such concerns are widely recognized,…
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Background: The success or failure of a digital health technology depends upon how it is received by the user. Objective: We conducted a detailed evaluation of user experience (UX) amongst persons who utilized an…
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This series of articles has covered the ways that digital technologies contribute to weight loss. To round out the series, this final article covers general topics applying to the field.
Maintaining Success
Both surgery…
By Shania Kennedy
May 03, 2024 – A team of researchers from Cleveland Clinic found that machine learning can help characterize how gut microbial metabolites and cell receptors interact to influence Alzheimer’s disease, according to a…
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Table of Contents
1. Introduction
2. LabGenie: Enhancing Patient Understanding of Lab Results
– 2.1 Development and Purpose
– 2.2 Multi-Phase Approach
– 2.3 Collaboration and Funding
3. Phase One: Designing LabGenie
– 3.1 Visualizing Lab Test Results
– 3.2 Tailoring Information…
Danielle Bitterman, MD
What You Should Know:
– A new study by researchers at Mass General Brigham suggests large language models (LLMs), a type of artificial intelligence (AI), could be a helpful tool for doctors to…
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In the most comprehensive population surveys, mental health is only broadly captured through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” Further, population mental health estimates are predominantly consolidated to yearly estimates…
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