Deep / machine learning is rapidly becoming the default approach applied in all areas of the medical imaging workflow, from image acquisition to analysis to reporting. #MachineLearning #ONTAPAI
Can you trust "deep learning" models to make "medical decisions"? Join me at #TheAIConf in New York City on April 18 to hear more about "Interpretable Deep Learning in Healthcare". #AI #MachineLearning #Medicine #Healthcare
Last ? from #DataScience 4 Public Health course- Who would you trust: a blackbox machine learning algorithm with 100% CV-prediction accuracy (AUROC=1) built with representative data OR a human medical provider (accuracy<100%; AUROC<1)? #epiTwitter #MachineLearning #SuperLearner
