Background/Objectives: Artificial intelligence (AI) is increasingly applied in breast imaging, with potential to improve diagnostic accuracy and reduce workload in mammographic breast cancer screening. However, real-world integration of AI into national screening programs remains limited, and little is known about radiologists’ perspectives in Asian settings. This study aimed to explore radiologists’ perceptions of AI adoption in Singapore’s breast screening program, focusing on perceived benefits, barriers, and requirements for safe integration. Methods: We conducted a mixed methods study involving a cross-sectional survey of 17 radiologists with prior experience using AI-assisted mammography, followed by semi-structured interviews with 10 radiologists across all three public healthcare clusters. The survey measured confidence in AI, attitudes toward its diagnostic role, and integration preferences. Interviews were analyzed thematically, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Results: Among survey respondents, 64.7% recommended AI as a companion reader, though only 29.4% rated its performance as comparable to humans. Confidence was highest when AI was validated on local datasets (mean 9.3/10). Interviews highlighted AI’s strengths in routine, fatigue-prone tasks, but skepticism for complex cases. Concerns included false positives, workflow inefficiencies, medico-legal accountability, and long-term costs. Radiologists emphasized the importance of national guidelines, local validation, and clear role definition to build trust. Conclusions: Radiologists support AI as an adjunct to, but not a replacement for, human readers in breast cancer screening. Adoption will require robust regulatory frameworks, seamless workflow integration, transparent validation on local data, and structured user training to ensure safe and effective implementation.

Background: Group chats on platforms such as WhatsApp (Meta Platforms, Inc), WeChat (Tencent Holdings Limited), and Telegram (Telegram FZ-LLC) are central to everyday communication in many settings, including across low- and middle-income countries and among groups often overlooked by one-to-one or app-based digital health tools. Yet their roles and underlying mechanisms as intentionally designed health interventions have not been comprehensively examined. Objective: This scoping review with realist synthesis aimed to map the characteristics and reported outcomes of group chat–based health interventions and contextual conditions shaping their outcomes. It mapped intervention characteristics and identified context-mechanism-outcome (CMO) configurations driving behavior change. Methods: We included empirical studies in which group chats were the primary digital component of the health intervention. Searches of PubMed, Embase, MEDLINE, Web of Science, and Scopus (2005‐2026) and reference screening identified eligible studies. Data were extracted on study characteristics, health domains, settings, participants, platform, intervention features, and outcome domains. For the realist synthesis, CMO configurations were analyzed using reflexive thematic analysis informed by social cognitive theory and synthesized into a final program theory. Results: Eighty-one studies were included. Publications increased sharply after 2020, with evidence clustering in mental health (25/81, 30.9%) and maternal and child health (20/81, 24.7%). Most studies enrolled adult participants, including pregnant or postpartum women, caregivers, and people managing chronic conditions. WhatsApp (38/81, 46.9%) and WeChat (21/81, 25.9%) were the most frequently studied platforms. Interventions were commonly delivered in clinical or community settings and typically involved mixed membership groups that included health professionals alongside participants (68/81, 84.0%). The realist synthesis identified 12 recurring CMO configurations across 5 domains: capability and actionability, confidence and motivation, modeling and norms, safe and supportive environment and access, and self-regulation and maintenance. These mechanisms were activated or suppressed by facilitation quality, group composition, cultural alignment, technological access, and social norms. The final program theory depicts group chats as dynamic systems where access, facilitation, and group structure shape how the domains amplify or dampen one another, explaining shifts from low engagement to high trust spaces sustaining behavior change. Conclusions: This review integrates descriptive mapping of interventions with realist program theory to explain how context and facilitation activate mechanisms of change, unlike prior reviews that have focused narrowly on effectiveness of digital modalities. This dual approach provides a practical, mechanism-focused basis for designing and scaling group chat interventions in practice, particularly given their potential as a low-cost, high-reach strategy embeddable within broader digital health programs. Realizing this potential depends on treating group chats as purposefully designed social environments, with deliberate attention to facilitation quality, equity-oriented access, and alignment between group structure, norms, and communication practices.

Despite Singapore’s robust healthcare infrastructure, adults with intellectual disabilities (AWIDs) and caregivers face insufficient support. Singapore’s multicultural context, ageing population, and income inequality further complicate equitable care. These challenges underscore the need to reassess the healthcare system for this group. Therefore, this study aimed to: (1) catalogue barriers and facilitators affecting health system access and care-seeking for AWIDs, caregivers, and health professionals before intervention; and (2) provide recommendations to address the barriers and enhance facilitators. A qualitative study using focus groups with 19 sectoral professionals and life-event guided interviews with AWID–caregiver dyads or triads (16 AWIDs; 20 caregivers) was conducted to explore viewpoints on care-seeking and health system access. Applied thematic analysis was used in identifying individual or system-level barriers and facilitators through a social constructivist lens. Barriers included individual-level challenges such as having problems when faced with sudden or accumulated changes and transitions and the struggle with insufficient financial resources, particularly affected low-income families and was compounded by insufficient subsidies. System-level challenges included the lack of specialised services for AWIDs, which contributed to mismatched care, while fragmented care and limited care provider capability complicated service delivery. Additionally, fear and distrust of the health system, exacerbated access to care-seeking. All barriers are expressed by both groups. Conversely, a facilitator that enhanced individual-level support, such as the usage of informal networks, helped connect AWID and caregivers to appropriate care. System-level support was stressed by both groups including intersectoral collaboration to address complex issues, while the availability of paid support services improved health outcomes and access. Furthermore, unpaid community support organisations, provided essential social care through organised activities. The facilitators highlighted the potential for improving the healthcare landscape through collective efforts and community engagement. This study highlights the need for individual-level support, including involving more family members in caregiving, and system-level reforms such as integrated, specialised care, and enhanced advocacy. Across all levels, co-created care plans and regular check-ins are important to identify emerging issues and build trust. Implementing these strategies can help Singapore progress towards a more inclusive and responsive healthcare system for AWIDs.

IDHealth was developed to address treatment gaps experienced by adults with intellectual disabilities (AWIDs) and their caregivers within Singapore’s