International Journal of Eating Disorders, Год журнала: 2025, Номер unknown
Опубликована: Май 21, 2025
ABSTRACT Objective Smartphone technology presents a promising path toward expanding access to evidence‐based eating disorder assessment and treatment. Despite rapid technological advances, research has yet harness these systems in ways that make personalized digital health care clinical reality. In this forum, we review extant testing smartphone intervention monitoring tools for disorders explore innovative integrating with AI can enhance assessment, symptom detection, efforts. Method We highlight three capabilities of smartphones hold promise delivering maximally effective tools: (1) passive sensing phenotyping; (2) natural language processing reflections from in‐app homework tasks; (3) closed‐loop adaptive interventions. discuss how augment current treatment efforts draw on literature other fields inform questions the field. Results Evidence demonstrates feasibility constructing data‐driven models sensor data textual input CBT activities predict outcomes. These may interventions, enabling apps deliver timely, support response real‐time changes user's needs. Conclusion The field lessons evaluate leverages personalization. Realizing potential will require addressing challenges related engagement, trust, governance, integration. testable presented here offer roadmap guide future large‐scale, collaborative aimed at transforming care.
Язык: Английский