machine learning in clinical practice
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MACHINE LEARNING IN CLINICAL PRACTICE MODERATOR KEITH DREYER - PowerPoint PPT Presentation

CHALLENGES & IMPACT MACHINE LEARNING IN CLINICAL PRACTICE MODERATOR KEITH DREYER ALEJANDRO FRANGI ABDUL HAMID HALABI WIRO NIESSEN MIKE TILKIN AMERICAN COLLEGE OF RADIOLOGY MEDICAL IMAGE COMPUTING & COMPUTER MEDICAL IMAGE COMPUTING


  1. CHALLENGES & IMPACT MACHINE LEARNING IN CLINICAL PRACTICE MODERATOR KEITH DREYER ALEJANDRO FRANGI ABDUL HAMID HALABI WIRO NIESSEN MIKE TILKIN AMERICAN COLLEGE OF RADIOLOGY MEDICAL IMAGE COMPUTING & COMPUTER MEDICAL IMAGE COMPUTING & COMPUTER NVIDIA AMERICAN COLLEGE Global Lead, Healthcare DATASCIENCE INSTITUTE ASSISTED INTERVENTION (MICCAI) 2018 ASSISTED INTERVENTION (MICCAI) SOCIETY OF RADIOLOGY Chief Science Officer General Chair President CIO and Executive VP

  2. VARIABILITY IN DIAGNOSIS BENIGN BREAST PATHOLOGY CASES 100% 90% 80% INTERPRETATION, % 70% 60% 50% 40% 30% 20% 10% 0% 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 CASE ABNORMAL BENIGN Source: Journal of American Medical Association (2015)

  3. VARIABILITY IN DIAGNOSIS ABNORMAL BREAST PATHOLOGY CASES 100% 90% 80% INTERPRETATION, % 70% 60% 50% 40% 30% 20% 10% 0% 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 CASE ABNORMAL BENIGN Source: Journal of American Medical Association (2015)

  4. DEEP LEARNING MOMENTUM BUILDING 106 START-UPS TRANSFORMING MEDICAL IMAGING PAPERS HEALTHCARE WITH AI USING DEEP LEARNING 60% 50% 40% 30% 20% 10% 0% 2014 2015 2016 2017 SPIE ISBI MICCAI

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