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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: We describe community-driven formative research to design the first pregnancy-guaranteed income program in the United States-the Abundant Birth Project (ABP).

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Due to the high incidence of proximal femoral fractures, classifications of these fractures are often used in daily practice. Most classifications are eponymous terms since they bear the name of the person(s) who developed them. In this study we provide an insight in the origin of the classifications and the background of their name givers.

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Pelvic Venous Disorder (PEVD) and May-Thurner syndrome (MTS) represent relatively understudied vascular issues that can significantly impact patients' quality of life. This study aims to evaluate the efficacy of surgical treatment for PEVD and MTS, conduct a comparative analysis of outcomes, and determine the practical significance of different therapeutic approaches. The study was conducted from 2019 to 2022 in Moscow, Russia, encompassing two outpatient clinics.

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Background: The oocyte retrieval is a critical step in assisted reproductive technologies, including in vitro fertilization and fertility preservation. Despite evolving techniques, the optimal aspiration pressure during retrieval remains debatable, with limited in vivo human studies. Existing studies, primarily in vitro and on animals, suggest that inappropriate aspiration pressures can impair oocyte quality.

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