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Purpose: The purpose of this study was to validate a national descriptive and analytical grid for artificial intelligence (AI) solutions in radiology., Materials and Methods: The RAND-UCLA Appropriateness Method was chosen by expert radiologists from the DRIM France IA group for this statement paper. The study, initiated by the radiology community, involved seven steps including literature review, template development, panel selection, pre-panel meeting survey, data extraction and analysis, second and final panel meeting, and data reporting., Results: The panel consisted of seven software vendors, three for bone fracture detection using conventional radiology and four for breast cancer detection using mammography. A consensus was reached on various aspects, including general target, main objective, certification marking, integration, expression of results, forensic aspects and cybersecurity, performance and scientific validation, description of the company and economic details, possible usage scenarios in the clinical workflow, database, specific objectives and targets of the AI tool., Conclusion: The study validates a descriptive and analytical grid for radiological AI solutions consisting of ten items, using breast cancer and bone fracture as an experimental guide. This grid would assist radiologists in selecting relevant and validated AI solutions. Further developments of the grid are needed to include other organs and tasks., Competing Interests: Declarations of Competing Interest Isabelle Thomassin-Naggara declares remunerated lectures for General Electric Healthcare, Siemens, Canon, Fuji, Hologic, Guerbet, Bracco, GSK, Roche and Board participation for Bayer, Bard and Guerbet., (Copyright © 2023 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.)

The main goal of dental education is to develop health professionals who will maintain and improve the oral health of patients. This requires the quantitative and qualitative assessment of dental student activity. The aim of this work is to describe the ECHO information system that was developed at Timone Hospital (France) for the monitoring and evaluation of dental student activity and to present the results of a qualitative evaluation of student perceptions of this system. According to the analysis of the UML model of care-related procedures and data, the pre-existing process of student evaluation was characterized by redundancy between administrative and educational data. ECHO was developed in PHP/MySQL and designed to centralize the two types of data in a unified computerized process. The qualitative evaluation of dental student perceptions of ECHO was performed using an anonymous online Google Form questionnaire. Among the respondents (102/254 students), 96% stated that ECHO is easy to use, 86% that it saves time, and 81% that it gives them a better overview of their activity. After several years of use, ECHO has solved many of the difficulties related to the use of internship paper booklets, while also providing a documentary database of the activities of our dental department. The student activity data stored in ECHO are directly accessible by faculty members and can be reused to facilitate departmental management and research and to improve patient follow-up.