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Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy–Related Cardiovascular Toxicity: Systematic Review

Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy–Related Cardiovascular Toxicity: Systematic Review

In total, 7 studies conducted between 2018 and 2023 were included, with 5 from the United States (Kar et al [29-31], Zhang et al [32], Edalati et al [33]), 1 from China (Shen et al [34]), and 1 from Taiwan (Chang et al [35]). Of these, 6 studies involved patients with breast cancer with additional cancers (eg, sarcoma, lymphoma, leukemia) in some cohorts.

Hayat Mushcab, Mohammed Al Ramis, Abdulrahman AlRujaib, Rawan Eskandarani, Tamara Sunbul, Anwar AlOtaibi, Mohammed Obaidan, Reman Al Harbi, Duaa Aljabri

JMIR Cancer 2025;11:e63964

Trustworthiness of Web-Based Pharmacy Apps in Pakistan Based on the Mobile App Rating Scale: Content Analysis and Quality Evaluation

Trustworthiness of Web-Based Pharmacy Apps in Pakistan Based on the Mobile App Rating Scale: Content Analysis and Quality Evaluation

This investigation represents a significant achievement as it constitutes the inaugural evaluation of the quality of online pharmacy apps in Pakistan through the utilization of a mobile app grading scale developed by Stoyanov et al [14]. In this comprehensive study, a meticulous analysis was undertaken of the pharmacy apps available in Pakistan; as Amor-García et al [12] did with genitourinary tumor apps, we chose and downloaded our apps using both the Google Play Store and the i OS App Store.

Anum Sattar, Hina Rehman, Safila Naveed, Sumaira Khadim, Nargis Khan, Ahmad Furqan Kazi, Wajid Syed, Mahmood Basil A Al-Rawi, Shazia Jamshed

JMIR Mhealth Uhealth 2025;13:e59884

Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes

Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes

Consistent with earlier studies, such as Zhang et al [44], the app demonstrated potential in improving adolescents’ mental health outcomes by providing accessible and flexible therapeutic tools. Previous work has highlighted the importance of user-friendly interfaces in promoting app adherence [45], and this study reinforces those conclusions.

Radhwan Hussein Ibrahim, Marghoob Hussein Yaas, Mariwan Qadir Hamarash, Salwa Hazim Al-Mukhtar, Mohammed Faris Abdulghani, Osama Al Mushhadany

JMIR Pediatr Parent 2025;8:e67137

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Hair et al [57] suggested that to assess the measurement model, it is important to examine the construct reliability (including Cronbach ɑ and composite reliability) and validity (including convergent and discriminant validity). Table 3 shows that the Cronbach ɑ readings are greater than the suggested criterion of 0.7, and vary from 0.797 to 0.858 [62], indicating good construct reliability.

Khadija Alhumaid, Kevin Ayoubi, Maha Khalifa, Said Salloum

JMIR Hum Factors 2025;12:e58377