Journal of Medical Internet Research
The leading peer-reviewed journal for digital medicine and health and health care in the internet age.
Editor-in-Chief:
Gunther Eysenbach, MD, MPH, FACMI, Founding Editor and Publisher; Adjunct Professor, School of Health Information Science, University of Victoria, Canada
Impact Factor 5.8 CiteScore 14.4
Recent Articles
With an increasing number of digital health apps available in app stores, it is important to assess these technologies reliably regarding their quality. This is done to mitigate the risks associated with their use. There are many different guidelines, methods, and metrics available to assess digital health apps with regard to their quality.
Although tobacco use has significantly declined in the general population, traditional tobacco use treatment uptake and success rates remain disproportionately low among people who identify as African American/Black, Hispanic/Latina/o, and American Indian/Alaska Native. Technology-based interventions (TBIs) for tobacco use are promising alternatives to traditional tobacco use treatments.
Menstruation is a physical symptom that occurs in women of reproductive age. It has a significant impact on the daily life and health of women when their academic and social activities are most active. Since many women experience difficulties in daily life because of premenstrual syndrome and dysmenorrhea, it is important to identify, prepare for, and manage the menstrual cycle in advance.
The historical development and contemporary instances of futures studies, an interdisciplinary field that focuses on exploring and formulating alternative futures, exemplify the increasing significance of using futures methods in shaping the health care domain. Despite the wide array of these methodologies, there have been limited endeavors to employ them within the medical community thus far.
As a result of the recent advancements in technology, the incorporation of digital interventions into the health care system has gained a lot of attention and adoption globally. However, these interventions have not been fully adopted, thereby limiting their impact on health care delivery in West Africa.
As part of the TNM (tumor-node-metastasis) staging system, T staging based on tumor depth is crucial for developing treatment plans. Previous studies have constructed a deep learning model based on computed tomographic (CT) radiomic signatures to predict the number of lymph node metastases and survival in patients with resected gastric cancer (GC). However, few studies have reported the combination of deep learning and radiomics in predicting T staging in GC.
Cardiac rehabilitation is known to reduce coronary artery disease (CAD) severity and symptoms, but adoption of a healthy postrehabilitation lifestyle remains challenging. Innovative eHealth solutions could help, but behavioral change–based eHealth maintenance programs for patients with CAD are scarce. RehaPlus+ aims to improve postrehabilitation outcomes with a personalized eHealth intervention built on behavioral change concepts emphasizing healthy lifestyle changes, especially regular physical activity (PA).
While the evidence base on web-based cancer misinformation continues to develop, relatively little is known about the extent of such information on the world’s largest e-commerce website, Amazon. Multiple media reports indicate that Amazon may host on its platform questionable cancer-related products for sale, such as books on purported cancer cures. This context suggests an urgent need to evaluate Amazon.com for cancer misinformation.
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