Explainability in the age of large language models for healthcare

Abstract

Large language models show remarkable potential in healthcare but face critical explainability challenges that must be addressed before widespread clinical deployment. Here, we examine technical and regulatory solutions needed to develop trustworthy, transparent large language models for responsible healthcare integration. Large language models show remarkable potential in healthcare but face critical explainability challenges that must be addressed before widespread clinical deployment. Here, Munib Mesinovic, Peter Watkinson and Tingting Zhu examine technical and regulatory solutions needed to develop trustworthy, transparent large language models for responsible healthcare integration.

Topics & Concepts