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 …
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
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 …
technologies that enable patients to input their symptoms and biodata to produce a set of …
[HTML][HTML] Large language models encode clinical knowledge
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 …
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
Abstract Machine learning technologies have seen increased application to the healthcare
domain. The main drivers are openly available healthcare datasets, and a general interest …
domain. The main drivers are openly available healthcare datasets, and a general interest …