Machine learning for medical imaging: methodological failures and recommendations for the future

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SUMMARY

    To diagnose various conditions from medical images, machine_learning has been shown to perform on par with medical experts4. The stakes are high, and there is a staggering amount of research on machine_learning for medical images. On the topic of machine_learning for COVID, Robert et_al8 reviewed 62 published studies, but found none with potential for clinical use. The authors explore avenues to improve clinical impact of machine_learning in medical imaging. The availability of large labeled datasets has enabled solving difficult machine_learning problems, such as natural image recognition in computer vision, where datasets can contain millions . . .

     

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