Ethical Framework for Responsible Foundational Models in Medical Imaging

Autor:	Das, Abhijit, Jha, Debesh, Sanjotra, Jasmer, Susladkar, Onkar, Sarkar, Suramyaa, Rauniyar, Ashish, Tomar, Nikhil, Sharma, Vanshali, Bagci, Ulas
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Foundational models (FMs) have tremendous potential to revolutionize medical imaging. However, their deployment in real-world clinical settings demands extensive ethical considerations. This paper aims to highlight the ethical concerns related to FMs and propose a framework to guide their responsible development and implementation within medicine. We meticulously examine ethical issues such as privacy of patient data, bias mitigation, algorithmic transparency, explainability and accountability. The proposed framework is designed to prioritize patient welfare, mitigate potential risks, and foster trust in AI-assisted healthcare.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.11868 Zobrazit plný text záznamu View this record from Arxiv