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Impact of Digital Engagement on Weight Loss Outcomes in Obesity Management Among Individuals Using GLP-1 and Dual GLP-1/GIP Receptor Agonist Therapy: Retrospective Cohort Service Evaluation Study

Impact of Digital Engagement on Weight Loss Outcomes in Obesity Management Among Individuals Using GLP-1 and Dual GLP-1/GIP Receptor Agonist Therapy: Retrospective Cohort Service Evaluation Study

For example, a meta-analysis by Beleigoli et al [53] found that web-based interventions resulted in modest but significant additional weight loss compared with standard care. Moreover, our findings broaden the current literature on digital weight loss interventions that incorporate pharmacotherapy, building on recent work by Richards et al [29,30] which demonstrated that a remotely delivered, semaglutide-supported weight management program is both effective and efficacious in the short term.

Hans Johnson, David Huang, Vivian Liu, Mahmoud Al Ammouri, Christopher Jacobs, Austen El-Osta

J Med Internet Res 2025;27:e69466

Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study

Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study

Banerjee et al [11] reported that postgraduate trainee doctors have an overall positive perception of the impact of AI on clinical training; however, they found that AI will eventually reduce the trainees’ clinical judgment and practical skills. In line with that, the faculty participants were concerned about students’ self-reliance on AI applications on the cost of traditional teaching methods, which might deprive them from skills best learned in person or group teaching.

Noura Abouammoh, Khalid Alhasan, Fadi Aljamaan, Rupesh Raina, Khalid H Malki, Ibraheem Altamimi, Ruaim Muaygil, Hayfaa Wahabi, Amr Jamal, Ali Alhaboob, Rasha Assad Assiri, Jaffar A Al-Tawfiq, Ayman Al-Eyadhy, Mona Soliman, Mohamad-Hani Temsah

JMIR Med Educ 2025;11:e63400

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

For example, Yu et al [22] and Yu et al [23] proposed an automatic pill recognition method based on pill imprints, achieving an accuracy of 86.01% and 90.46%, respectively. Caban et al [18] used a modified shape distribution technique to determine the shape, color, and imprint of a pill to identify the drug. The proposed technique was evaluated with 568 of the most prescribed drugs in the United States and achieved a 91.13% accuracy.

Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

JMIR Hum Factors 2025;12:e60273

Assessing the Relationship Between the Type of Internet Use and Internet Addiction in Early and Middle Adolescents: Cross-Sectional Study From Qatar

Assessing the Relationship Between the Type of Internet Use and Internet Addiction in Early and Middle Adolescents: Cross-Sectional Study From Qatar

In addition, the research conducted by Lozano-Blasco et al [57] found that using lesser answer categories led to decreased Cronbach α values. The dichotomous character of the questions in the IADQ, which means that they only allow for replies of yes or no, leads to lower Cronbach α values that are within the acceptable range for dependability.

Khansa Chemnad, Maryam Aziz, Sanaa Al- Harahsheh, Azza Abdelmoneium, Ahmed Baghdady, Diana Alsayed Hassan, Raian Ali

JMIR Hum Factors 2025;12:e62955

Dynamic Augmented Reality Cues for Telementoring in Minimally Invasive Surgeries: Scoping Review

Dynamic Augmented Reality Cues for Telementoring in Minimally Invasive Surgeries: Scoping Review

With respect to MIS, Nickel et al [23] provided a concise clinical summary, whereas others reported on the use of audio and static AR cues [16,17,19,34,35]. While these reviews offer a comprehensive understanding of telementoring during MIS, they do not highlight the developments in the use of dynamic AR cues. To the best of our knowledge, there has not yet been a systematic examination specifically on the use of dynamic AR cues used by remote mentors during telementoring in MIS.

Hawa Hamza, Omar M Aboumarzouk, Abdulla Al-Ansari, Nikhil V Navkar

J Med Internet Res 2025;27:e63939

Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data

Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data

The units are distributed based on geographical coverage: Central BU includes Riyadh and AL Qassim; Western BU covers Makkah, Madinah, and Albaha; Eastern BU includes the Eastern region; Northern BU consists of Al-jouf, Northern Border, Tabuk, and Hail; and Southern BU includes Aseer, Jazan, and Najran. Each BU is tasked with managing and providing health care services within its respective regions. Other variables pertain to the e-referral request itself, including the date, type, bed type, and reason.

Abdullah A Alharbi, Nawfal A Aljerian, Meshary S Binhotan, Hani A Alghamdi, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Yasser A Alaska, Eid B Alwahbi, Mohammed A Muaddi, Ahmad Y Alqassim, Ronnie D Horner

JMIR Public Health Surveill 2025;11:e64257