Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Conceptual Framework for Critically Evaluating Integration of AI Diagnostic Support Systems into Clinical Practice
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Abstract In our first section, we make the prior engagement between artificial intelligence (AI) and medicine explicit and show how pervasively AI (broadly conceived) has already influenced and been integrated into medicine and clinical care. There has been ethical reflection on these developments since the early 1960s, and many of the concerns articulated today (about impact on the physician-patient relation, explainability, bias and so on) have already been considered in some form long ago. In our second section, we briefly consider ML and what may be distinctive about diagnostic support systems utilizing ML. We also consider in very broad strokes some of the ethical challenges and technical tools offered within AI for addressing these challenges. Within this broader horizon, we consider in our third section the contributions made by the essays in the issue. We close with some summary thoughts on how reading these essays together sharpens our appreciation of ongoing ethical challenges for integrating diagnostic support systems into clinical practice.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.626 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.532 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.046 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.843 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.