Chaque fiche issue de cette activité de veille analyse les contenus d’une publication scientifique. Pour ce faire, un outil d'intelligence artificielle a facilité l'automatisation de certaines tâches préliminaires de notre veille technologique. Ensuite, chaque article a été rigoureusement lu et l'analyse validée par un-e membre de notre équipe, garantissant ainsi la fiabilité et la pertinence de nos fiches. 

Summary: This 2024 article from Medical Teacher presents a scoping review of artificial intelligence (AI) applications in medical education, guided by BEME and STORIES guidelines. The authors systematically reviewed 278 publications across various databases, charting the use of AI in admissions, teaching, assessment, and clinical reasoning, among other areas. Key findings highlight AI's diverse roles – from supplementing existing methods to creating entirely new ones – while underscoring the urgent need for ethical guidelines. The review concludes by proposing the FACETS framework for future high-quality reporting on AI in medical education and identifying areas ripe for further systematic investigation.

Summary: This 1998 paper by Lillehaug and Lajoie critiques the underachievement of Artificial Intelligence in Medicine (AIM), arguing that its focus on automated diagnosis has neglected the crucial role of empowering healthcare workers. The authors propose a shift towards Artificial Intelligence in Medical Education (AIME), advocating for intelligent learning environments (ILEs) that leverage cognitive science and AI to enhance learning and problem-solving skills. They support this shift by reviewing research demonstrating the strong link between healthcare workers' knowledge, job satisfaction, and the quality of care, asserting that empowering healthcare professionals leads to better patient outcomes. The paper showcases successful ILEs from other fields and presents examples of promising AIME projects in medicine, concluding that this approach offers a more impactful and sustainable path to improving healthcare than solely focusing on automated decision-support systems.

Each sheet produced by this monitoring activity analyses the content of a scientific publication. To do this, an artificial intelligence tool was used for certain preliminary tasks in our watch. Each article was then rigorously read and the analysis validated by a member of our team, guaranteeing the reliability and relevance of our data sheets.

Summary: This 2023 review article, "Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe," addresses the crucial intersection of artificial intelligence adoption, ethical considerations, and the necessity of education within European medical imaging. The authors conducted a rapid review of existing literature and resources to underscore that responsible AI practices and comprehensive AI education are fundamental for the successful and safe integration of AI technologies in radiology and radiography. By examining ethical frameworks, current educational initiatives, and the importance of collaboration among medical imaging professionals, the paper aims to guide Europe's healthcare sector towards a future where AI is implemented responsibly and effectively for the benefit of both practitioners and patients.