Reliability of LLMs as medical assistants for the general public: a randomized preregistered study
Andrew M. Bean(University of Oxford), Adam Mahdi(University of Oxford), Guy Parsons(University of Oxford), Aruna S. Ekanayaka(Birmingham Women’s and Children’s NHS Foundation Trust), Sara Hincapié M(Palo Alto Institute), Luc Rocher(University of Oxford), Rafael Mosquera-Gómez(Palo Alto Institute), Rebecca Payne(Betsi Cadwaladr University Health Board), Hannah Rose Kirk(University of Oxford), Lionel Tarassenko(University of Oxford)
Cited by 38
Related Papers
Sensitivity analysis methods in the biomedical sciences
|Mathematical Biosciences|2020|179
Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG
|Computing in cardiology|2017|172
Review of multimodal machine learning approaches in healthcare
|Information Fusion|2024|152
An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models
|Journal of Computational Physics|2013|70
Potential health and economic impacts of dexamethasone treatment for patients with COVID-19
|Nature Communications|2021|68