Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use
Researchers have found that out of the more than 300 COVID-19 machine learning models described in scientific papers in 2020, none of them is suitable for detecting or diagnosing COVID-19 from standard medical imaging, due to biases, methodological flaws, lack of reproducibility, and 'Frankenstein datasets.'
The team of researchers, led by the University of Cambridge, carried out a systematic review of scientific manuscripts - published between 1 January and 3 October 2020 - describing machine learning models that claimed to be able to diagnose or prognosticate ...










