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Frontiers in Digital Health|August 8, 2026
A call for principle-based acceptance of synthetic patients: establishing the AI-driven foundation for regulatory submissionsJordi Guitart
Frontiers in Digital Health|August 7, 2026
A retrospective comparative study of ChatGPT-5.4 and DeepSeek-VL2 for C-TIRADS-based risk stratification of thyroid nodules on ultrasound imagesDanhong Cai, Shaopan Cai, Jiaxuan Ye, et al.
Frontiers in Digital Health|August 11, 2026
Innovative digital twin framework for early risk detection and personalized perinatal healthcareMario Sanz Rodrigo, Virginia Anton Yuste, Diego Rivera, et al.
Frontiers in Digital Health|August 11, 2026
Translating innovation into impact: a national policy dialogue on scaling and integrating evidence-based supportive text messaging into Canada's mental health care systemsBelinda Agyapong, Linda Liebenberg, Ejemai Eboreime, et al.
Frontiers in Digital Health|August 11, 2026
Governance pathways for scaling neonatal risk stratification tools in LMIC health systems: a multi-site qualitative study in KenyaRonald Danny Nyatuka, Faith Siva, Md Shafiqur Rahman Jabin
Frontiers in Digital Health|August 18, 2026
Designing trustworthy, low-threshold care coordination: co-creating a hybrid CareCompass with rural informal caregiversMartin Ernst, Johannes Pflegerl, Doris Maurer, et al.
Frontiers in Digital Health|August 18, 2026
A two-phase digital tool to predict and prevent post-transplant hyperuricemiaMin Wu, Limian Liang, Tian Tian, et al.
Frontiers in Digital Health|August 18, 2026
Avatar therapy for bothersome tinnitus using an augmented reality mobile application: a pilot feasibility studyKaho Magami, Hiroaki Yata, Yasuo Kabe, et al.
Frontiers in Digital Health|August 14, 2026
Evaluating the implementation of a hospital-internal digital supply chain system over 5 years using a logic model frameworkSaskia Kröner, Jörg Hassmann, Lara Niemöller, et al.
Frontiers in Digital Health|August 15, 2026
Correction: Association between clinical characteristics within 6 h of ICU admission and 30-day mortality risk in immunocompromised sepsis patients: development and validation of a machine learning model based on the MIMIC-IV databaseZhipeng Cheng, Xiuqing Ma, Weiying Duan, et al.
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