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Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise.

Ann Intern Med

January 2025

Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).

Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.

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Objective: One technique for tailoring interventions and matching evidence-based procedures to idiographic problems is just-in-time adaptive approaches, also referred to as ecological momentary intervention. These technology-based approaches involve real-time delivery of evidence-based skills when most needed, which can be tailored to individual data inputs. The current article reviews just-in-time adaptive ecological momentary assessment (JITA-EMA; Schneider et al.

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Partial hospitalization programs (PHPs) are increasingly relied upon to provide intensive mental health treatment for youth with acute and severely impairing mental health symptoms, yet very few interventions have been adapted to fit this unique delivery context. Transdiagnostic treatments hold promise for addressing the complex clinical presentations and workflow needs of PHP programs, but more work is needed to understand factors that influence successful implementation. We conducted a formative implementation process evaluation to identify barriers and facilitators of acceptability, appropriateness, and feasibility of implementing an evidence-based transdiagnostic intervention in a PHP setting and further targets for intervention and implementation adaptation.

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African, Caribbean, and Black (ACB) women are overrepresented among new HIV diagnoses due to social and structural factors. This study seeks to create, implement, and evaluate a community-based peer-led intervention to improve access to HIV prevention and care for ACB women in Canada. This multisite, five-year project, using community-based participatory research, implementation science and evaluation frameworks, will be implemented in five non-iterative phases.

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Studies around the world have reported that dental students experience higher stress compared to medical students. Prolonged and high perceived stress can be of a significant concern as it affects the personal, psychological, and professional well-being of the student, affecting quality of life. The aim of the study was to describe the perceived stress and coping strategies that undergraduate students at dental schools of Lahore, Pakistan employ.

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