Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare

التفاصيل البيبلوغرافية
العنوان: Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare
المؤلفون: García-Gómez, Juan M., Blanes-Selva, Vicent, Cenzano, José Carlos de Bartolomé, Cebolla-Cornejo, Jaime, Doñate-Martínez, Ascensión
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence, 68
الوصف: The Directorate General for Parliamentary Research Services of the European Parliament has prepared a report to the Members of the European Parliament where they enumerate seven main risks of Artificial Intelligence (AI) in medicine and healthcare: patient harm due to AI errors, misuse of medical AI tools, bias in AI and the perpetuation of existing inequities, lack of transparency, privacy and security issues, gaps in accountability, and obstacles in implementation. In this study, we propose fourteen functional requirements that AI systems may implement to reduce the risks associated with their medical purpose: AI passport, User management, Regulation check, Academic use only disclaimer, data quality assessment, Clinicians double check, Continuous performance evaluation, Audit trail, Continuous usability test, Review of retrospective/simulated cases, Bias check, eXplainable AI, Encryption and use of field-tested libraries, and Semantic interoperability. Our intention here is to provide specific high-level specifications of technical solutions to ensure continuous good performance and use of AI systems to benefit patients in compliance with the future EU regulatory framework.
Comment: 14 pages, 1 figure, 1 table
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2309.10424
رقم الانضمام: edsarx.2309.10424
قاعدة البيانات: arXiv