Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise
Eight principles were identified to adhere to when using AI in the guideline context: transparency, preplanning, additionality, credibility, ethics, accountability, compliance, and evaluation. These complementary principles are described in a comprehensive way, but they do not provide detailed instructions on how to use specific AI tools. Although these principles are expected to apply across different contexts and stages of the guideline enterprise, details on their implementation have some degree of flexibility. Guideline development groups choosing to use AI will be able to adequately implement the principles if they ensure aspects such as structured reporting on the use of AI tools, involvement of experts in AI, and allocation of funding for the adequate use of AI tools. The GIN principles may support guideline developers in the responsible and transparent use of AI to ensure trustworthy guidelines.
Authors
- Marge Reinap (ORCID: https://orcid.org/0000-0001-5836-7516)
- Mariette Awad (ORCID: https://orcid.org/0000-0002-4815-6894)
- Jan Brożek (ORCID: https://orcid.org/0000-0002-3122-0773)
- Pablo Alonso‐Coello (ORCID: https://orcid.org/0000-0002-8001-8504)
- Monika Nothacker (ORCID: https://orcid.org/0000-0003-4928-7391)
- Bernardo Sousa‐Pinto (ORCID: https://orcid.org/0000-0002-1277-3401)
- Artur Nowak (ORCID: https://orcid.org/0000-0001-7862-5797)
- Yuan Chi (ORCID: https://orcid.org/0000-0001-7454-3970)
- Elie A. Akl (ORCID: https://orcid.org/0000-0002-3444-8618)
- Roberta James (ORCID: https://orcid.org/0000-0001-9808-2451)
- Wojtek Wiercioch (ORCID: https://orcid.org/0000-0001-6576-1650)
- Manuel Marques‐Cruz (ORCID: https://orcid.org/0000-0002-9827-2551)
- Miranda Langendam (ORCID: https://orcid.org/0000-0001-9038-3209)
- Holger J. Schünemann (ORCID: https://orcid.org/0000-0003-3211-8479)
- Zachary Munn (ORCID: https://orcid.org/0000-0002-7091-5842)
- Amir Qaseem (ORCID: https://orcid.org/0000-0001-6866-7985)
- Murad Alam (ORCID: https://orcid.org/0000-0001-8752-3821)
- I. Kopp
- Ignacio Neumann (ORCID: https://orcid.org/0000-0001-8406-6880)
- Lubna El-Ansary
- Milana Trucl
Institutions
- Humanitas University (IT)
- Universidade do Porto (PT)
- Association of the Scientific Medical Societies (DE)
- San Sebastián University (CL)
- American College of Physicians (US)
- World Health Organization Regional Office for Europe (DK)
- Centre for Health Technology and Services Research (PT)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES)
- Cochrane (CA)
- Impact (CA)
- McMaster University (CA)
- American University of Beirut (LB)
Publication Details
- Journal
- Annals of Internal Medicine
- Published
- 2025-01-27
- DOI
- https://doi.org/10.7326/annals-24-02338
- Citations
- 15
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 9.81