e.g. mhealth
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Skip search results from other journals and go to results- 17 Journal of Medical Internet Research
- 3 Interactive Journal of Medical Research
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Google Trends is a popular open web-based tool that quantifies changes in internet search volume for a given term based on actual Google search history [11,12]. Google Trends is used for academic research in fields as diverse as social science, economics, language, and medicine and can also reveal changes in societal interest in public health issues [13]. Google Trends initially focused on detecting infectious disease outbreaks, and past studies have reported early detection of influenza outbreaks [14].
JMIR Cancer 2025;11:e64020
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Search engines, such as Google, democratized access to health information and changed the dynamics of the patient-provider relationship, with 72% of internet users in the United States looking on the web for health information [1-4]. Clinicians and health organizations initially had mixed reactions, including some early efforts to discourage patients from searching for health information on the web because of concerns that web-based information could make them misinformed or anxious [5-7].
J Med Internet Res 2025;27:e64290
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This study investigated the accuracy of responses from widely used LLM AIs, including Chat GPT (with GPT-3.5 and GPT-4), Bing, and Google Bard.
JMIR Med Educ 2025;11:e58898
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Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach
Google Trends, an open-source repository, is a popular tool for retrieving the most common search queries about weight loss in previous studies [11-14]. Yet, the Google search engine offers additional “Autocomplete Suggestions” and “People Also Ask” features based on users’ queries. To our knowledge, no previous study used search queries that combined the data from Google Trends and the additional features of the Google Search engine to determine the most frequently accessed weight loss websites.
JMIR Infodemiology 2024;4:e51701
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The web log data used in the previous study varied and included search volume logs from internet search engines, such as Google and Yahoo! Search, as well as log data from social networking services (SNSs), including X (Twitter), Facebook, and Instagram. This study used search volume log data from the search engine Google, which can be collected from Google Trends [29].
J Med Internet Res 2024;26:e64555
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According to studies, misinformation about climate change and related environmental events has circulated through social media, including Twitter (now known as X; X Holdings Corp) [10,13-17], You Tube (Google) [15,18], Facebook (Meta Platforms Inc) [15] and various blogs [11]. By consulting social media, people are thus, inadvertently or through research, exposed to misinformation related to climate change [7,10,11,19].
JMIR Res Protoc 2024;13:e59345
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Google is the most widely used search engine worldwide [1]. While previous studies have utilized Google machine learning algorithms to assess commonly asked questions about various medical topics [2,3], no studies have employed these tools to explore queries surrounding dermatological conditions.
JMIR Dermatol 2024;7:e62948
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The responses of AAPOS, Chat GPT-3.5, and Google Assistant to the questions were pasted into the Flesch-Kincaid Readability Calculator to obtain the readability grade levels [22]. For the word count measurement, we used Google Docs tools. Keywords from the AAPOS website were used as a reference point to score the Chat GPT-3.5 and Google Assistant responses. A total of 26 terms were used in the 4 questions from the AAPOS website.
J Med Internet Res 2024;26:e52401
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In this study, we used publicly available Google Trends data to monitor search volumes for psoriasis biologics, a methodology that has been used in prior studies [3,4].
All 12 US Food and Drug Administration (FDA)–approved psoriasis biologics were included in our analysis. We examined temporal search volume data from each biologic’s approval date for plaque psoriasis until November 1, 2023, and geographic search volume data over the past 12 months (November 2022 to November 2023).
JMIR Dermatol 2024;7:e56406
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The first approach is an analysis of Google Trends data, which allows us to analyze the level of interest in telemedicine among the general public. The second approach is a bibliometric data analysis, which involves examining publications related to telemedicine over the past 6 years.
J Med Internet Res 2024;26:e50088
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