The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review

D Schwabe, K Becker, M Seyferth, A Klaß… - NPJ Digital …, 2024 - nature.com
The adoption of machine learning (ML) and, more specifically, deep learning (DL)
applications into all major areas of our lives is underway. The development of trustworthy AI …

The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review

W Wallace, C Chan, S Chidambaram, L Hanna… - NPJ digital …, 2022 - nature.com
Digital and online symptom checkers are an increasingly adopted class of health
technologies that enable patients to input their symptoms and biodata to produce a set of …

[HTML][HTML] Large language models encode clinical knowledge

K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung… - Nature, 2023 - nature.com
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for
clinical applications is high. Attempts to assess the clinical knowledge of models typically …

Large language models encode clinical knowledge

K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei… - ar** robust benchmarks for driving forward AI innovation in healthcare
D Mincu, S Roy - Nature Machine Intelligence, 2022 - nature.com
Abstract Machine learning technologies have seen increased application to the healthcare
domain. The main drivers are openly available healthcare datasets, and a general interest …