e.g. mhealth
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Skip search results from other journals and go to results- 181 Journal of Medical Internet Research
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Social Media and Youth Mental Health: Scoping Review of Platform and Policy Recommendations
Social media companies use a range of strategies for moderating posts to limit the proliferation of harmful content on their platforms, including human-facilitated and automated methods (eg, artificial intelligence [AI] tools [44]). However, there are concerns that users can easily circumvent moderation practices given that moderation tools can fail to detect harmful posts and have been outpaced by the increasing use of AI and bots on social media [45-47].
J Med Internet Res 2025;27:e72061
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As shown in Figure 4, sentiment for the treatment pathway topic was mostly positive or neutral, and sentiment for the video content topic was mostly positive, whereas sentiment for the AI avatar topic was predominantly negative. This likely reflects that most patients (10/17, 59%) who mentioned the AI presenter described it as “impersonal,” which was the second most relevant word in sentences assigned to this topic.
J Med Internet Res 2025;27:e70971
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AUC=0.99
a EHR: electronic health record.
b NLP: natural language processing.
c AUC: area under the curve.
d CVD: cardiovascular disease.
e DNN: deep neural network.
f RF: random forest.
g Ada Boost: adaptive boosting.
h AUROC: area under the receiver operating characteristic curve.
i FIND-AF: Future Innovations in Novel Detection for Atrial Fibrillation.
j XGBoost: Extreme Gradient Boosting.
k LR: logistic regression.
l GBM: gradient boosting machine.
m DT: decision tree.
n RSF: random survival forest.
o PULSE-AI: Prediction
JMIR Med Inform 2025;13:e68898
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Therefore, in the future, developers should explore real-time monitoring of family caregivers’ stress levels through artificial intelligence (AI) algorithms, automatically triggering matching functions to optimize mobile app design.
Findings from our study indicate that mobile apps have multidimensional functions and can provide support for family caregivers in a stressful environment. This positive impact is consistent with the stress coping model by Folkman and Lazarus [56].
JMIR Mhealth Uhealth 2025;13:e65983
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The interview questions explored specific areas, including the use of AI to improve health outcomes, protect the health of populations, and strengthen health care systems; AI challenges in health care; concerns regarding AI development and use in participants’ occupation or professional setting; future capabilities of, and opportunities for, health care AI; and proactive measures to maximize the benefits of AI participant demographics, including sex, profession, employment sector, and country.
J Med Internet Res 2025;27:e71591
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Artificial intelligence (AI), a recent advancement in e Health, is poised to reshape medicine, improving the experiences of health care professionals and patients [5] through pattern recognition and generating insights that can improve diagnosis, treatment, and patient outcomes. These and other e Health technologies enable patients to actively participate in their health care decisions and promote preventive care through personalized health information [6].
J Med Internet Res 2025;27:e60071
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Leveraging artificial intelligence (AI) algorithms, specifically, computer vision, can objectively observe the findings and minimize interobserver variability.
Thermography is helpful for the early detection of abnormalities of the foot by analyzing asymmetries and local temperature changes over time. Assessing temperature differences can enable the early detection of ulcers [16,17].
JMIR Diabetes 2025;10:e65209
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aiAI Governance and Policy Foundation Models and Their Applications in AI
JMIR Form Res 2025;9:e66204
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It is positioned to benefit from advances in an even wider array of disciplines, including bioinformatics, data science, machine learning, artificial intelligence (AI), natural language processing, large language models (LLMs), systems pharmacology, pharmacogenomics, pharmacometabolomics, and health informatics [2-7].
JMIR AI 2025;4:e65481
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