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Challenges and Mitigation Strategies in the Development and Feasibility Assessment of a Digital Mental Health Intervention for Depression (VMood): Mixed Methods Feasibility Study

Leena W Chau, Jill K Murphy, Vu Cong Nguyen, Hai Nhu Tran, Harry Minas, Raymond W Lam, Kanna Hayashi, Thi Thanh Xuan Nguyen, Emanuel Krebs, John O'Neil

JMIR Form Res 2025;9:e68297

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Characterizing Behaviors That Influence the Implementation of Digital-Based Interventions in Health Care: Systematic Review

Sajan B Patel, Fahad M Iqbal, Kyle Lam, Amish Acharya, Hutan Ashrafian, Ara Darzi

J Med Internet Res 2025;27:e56711

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Multidisciplinary Oncology Education Among Postgraduate Trainees: Systematic Review

Houman Tahmasebi, Gary Ko, Christine M Lam, Idil Bilgen, Zachary Freeman, Rhea Varghese, Emma Reel, Marina Englesakis, Tulin D Cil

JMIR Med Educ 2025;11:e63655

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A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective

Dung Nguyen Tien, Huong Thi Thu Bui, Tram Hoang Thi Ngoc, Thuy Thi Pham, Dac Trung Nguyen, Huyen Nguyen Thi Thu, Thi Thu Hang Vu, Thi Lan Anh Luong, Lan Thu Hoang, Ho Cam Tu, Nina Körber, Tanja Bauer, Lam Khanh Ho

JMIR Form Res 2025;9:e69838

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Perceptions of the Use of Mobile Apps to Assess Sleep-Dependent Memory in Older Adults With Subjective and Objective Cognitive Impairment: Focus Group Approach

The SDM task, as described in Lam et al [6], was initially adapted to be suited for an app-based platform (Figure 1). This task is a verbal memory task that comprises 32 word pairs, half of which are semantically related and the other half unrelated. In step 1, participants are presented with all 32 pairs. In step 2, individual words are presented, for which participants are required to identify the corresponding pair word by speech or text.

Aaron Lam, Simone Simonetti, Angela D'Rozario, David Ireland, DanaKai Bradford, Jurgen Fripp, Sharon L Naismith