Systematic review finds that machine learning models for detecting and diagnosing COVID-19 from medical images have major flaws and biases, making them unsuitable for use in patients. However, researchers have suggested ways to remedy the problem.
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IMAGE: The tests are ordered chronologically. Each row represents the biomarker test combination for one patient. Numbers shown on the right indicate the number of patients who received the same biomarker. view more
Credit: van de Ven, Michiel, et al.
Philadelphia, March 15, 2021 - Biomarker testing surveys specific disease-associated molecules to predict treatment response and disease progression; however its use has complicated the diagnosis of non-small-cell lung cancer (NSCLC). In a new study in
The Journal of Molecular Diagnosis, published by Elsevier, investigators provide for the first time a complete overview of biomarker testing, spanning multiple treatment lines, in a single cohort of patients.
About JAMA Network Open: JAMA Network Open is the new online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.
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