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Skip search results from other journals and go to results- 24 Journal of Medical Internet Research
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We also found that despite these attitudes, there remains a reserve for using AI in education brought on by concerns about the reliability, privacy, and ethical issues and a lack of integration of AI into medical education in Sri Lanka. The clinical, scientific, economic, and ethical future of health care will be significantly impacted by AI [46]. The current generation of medical doctors is set to enter an industry that is significantly more AI‐driven than it was when their training commenced.
JMIR Med Educ 2025;11:e73798
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This survey was designed to explore attitudes and opinions related to digital health technologies and willingness to share related data. The three research questions guiding this work are:
RQ1: What types of data are people willing to contribute?
RQ2: For how long are people willing to contribute critical data streams?
RQ3: What type of data control and feedback do people expect?
A total of 1509 adults were recruited from Prolific [8].
JMIR Form Res 2025;9:e64082
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To address this gap, we comprehensively studied the attitudes of physicians toward AI across diverse disciplines and experience levels, emphasizing their critical role in AI adoption.
J Med Internet Res 2025;27:e74187
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Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review
Although general attitudes of all patients toward AI have been studied, research specifically examining the perspectives of patients with cancer remains limited [14]. The chronic and severe nature of cancer creates unique psychosocial challenges for patients, which may shape their attitudes toward AI in ways distinct from other medical contexts [15,16].
JMIR Cancer 2025;11:e74010
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The KAB model is based on the cognitive behavioral theory, and the educational program helps participants reflect on their values, habits, needs, and wants and empowers them to explore and adopt desirable attitudes and behaviors about health care practices to improve their health.
JMIR Aging 2025;8:e72147
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This is the peer-review report for “Levels and Predictors of Knowledge, Attitudes, and Practices Regarding Contraception Among Female TV Studies Undergraduates in Nigeria: Cross-Sectional Study.”
1. The sampling technique used in this paper [1] should be more detailed than it is. Respondents were said to have been selected by balloting from the 6 levels.
JMIRx Med 2025;6:e72951
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This is a peer-review report for “Levels and Predictors of Knowledge, Attitudes, and Practices Regarding Contraception Among Female TV Studies Undergraduates in Nigeria: Cross-Sectional Study.”
Dear Authors,
Thank you very much for undertaking the study [1] titled “Levels and predictors of knowledge, attitude and practice of contraception among female TV undergraduates in Nigeria: a cross-sectional study” and submitting the manuscript to JMIR.
JMIRx Med 2025;6:e72949
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This is the authors’ response to peer-review reports of “Levels and Predictors of Knowledge, Attitudes, and Practices Regarding Contraception Among Female TV Studies Undergraduates in Nigeria: Cross-Sectional Study.”
Dear Authors,
Thank you very much for undertaking the study [2] titled “Levels and predictors of knowledge, attitude and practice of contraception among female TV undergraduates in Nigeria: a cross-sectional study” and submitting the manuscript to JMIR.
JMIRx Med 2025;6:e72947
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The questionnaire is divided into four sections: social demographic characteristics, knowledge of contraception, attitudes toward contraceptives, contraceptive practices, and sexual behavior.
JMIRx Med 2025;6:e56135
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We provide an in-depth analysis of the negative attitudes experienced by HCPs regarding the adoption of AI, with the objective of understanding precisely what impedes their integration into professional practice.
We conducted an initial literature search to assess what negative attitudes emerge toward medical AI. As there are psychological factors that underlie attitudes toward AI tools [8], we attempted to find studies focusing on precisely defined types of attitudes on an attitude scale.
J Med Internet Res 2025;27:e66986
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