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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.
View Article and Find Full Text PDFInternet-Based Dementia Prevention Intervention (DementiaRisk): Protocol for a Randomized Controlled Trial and Knowledge Translation.
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFAutomating the practice of science: Opportunities, challenges, and implications.
Proc Natl Acad Sci U S A
February 2025
Cognitive Science Program, Indiana University, Bloomington, IN 47405.
Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery, enhancing reproducibility, and overcoming the traditional impediments to scientific progress. This article evaluates the scope of automation within scientific practice and assesses recent approaches.
View Article and Find Full Text PDFUse of AI methods to assessment of lower limb peak torque in deaf and hearing football players group.
Acta Bioeng Biomech
September 2024
Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland.
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelligence-based model to assess the peak torque of the lower limb extensors and flexors. The model was based on real-world results in three groups: hearing ( = 19) and deaf football players ( = 28) and non-training deaf pupils ( = 46).
View Article and Find Full Text PDFOperationalising a Haemophilia Gene Editing Lexicon for Practical Use.
Haemophilia
January 2025
Medicine and Pathology, Georgetown University, Washington, District of Columbia, USA.
Introduction: Gene editing therapies offer the possibility of substantial improvement in treatment and quality of life for people with haemophilia (PWH) in a landscape of dynamic therapeutic advancement. Developing a common and understandable language to discuss gene editing will be essential to ensure these treatments can be deployed in a safe and effective manner with fully informed and shared decision-making between healthcare professionals (HCPs) and PWH. A lexicon explaining and clarifying key concepts is one potential tool to address these aims.
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