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Healthcare AI PDF

114 Pages·2017·13.9 MB·English
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Healthcare AI Radiology’s Next Frontier Dr. Keith Dreyer Chief Data Science Officer, MGH, BWH, Partners Healthcare Associate Professor of Radiology, Harvard Medical School Chief Science Officer, American College of Radiology Data Science Institute ACR Board of Chancellors, Chairman Informatics Commission Our Role as Physicians 1 Prevent illness 2 Help sick patients get healthy as soon as possible 3 Stabilize & manage patients with chronic conditions © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. 2 Healthcare Spending as a Percentage of GDP (1995-2014) © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. Institute of Medicine: Improving Diagnosis In Health Care 1999 2015 © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. Radiologist Relevance In Error Reduction © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. The US Healthcare System’s Response: The Quadruple Aims Improving the health Improving the individual of populations experience of care Reducing the per capita Improving the work life of costs of care those who deliver care Doing Better With Less… © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. 6 Data Science and Artificial Intelligence: A Rapidly Emerging Megatrend in Business and Society Hype? Reality? Yes. Yes. © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. Convergence of rapid advances and growth on multiple fronts: 1. Storage and processing power as a cheap, on-demand utility: – Graphics Processing Units (GPUs) – Cloud computing allows affordable GPUs at scale 2. Exponential growth in data to analyze using AI in many fields. In healthcare: – Medical Imaging – Electronic health records – Genomic data What’s fueled the – Patient monitoring and treatment devices (e.g., EKG, Pulse, Oxygen, IV Pumps, etc..) growth in AI applications – Consumer biomonitoring devices (e.g., Fitbit, Apple Watch, smartphones) in the last 5 years? – High resolution imaging devices – Data registries – Environmental data – Evidence-based guidelines – Clinical trial and other research data – Medical literature and supporting primary data © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. These technological advances and data growth have spurred: 1. Powerful new applications for known AI techniques (e.g., deep learning) 2. A global, online community of AI practitioners sharing advances daily 3. Open source software from the community and tech What’s fueled the giants (e.g. Nvidia’s DIGITS, Google’s TensorFlow, Amazon/Microsoft’s Gluon) growth in AI applications in the last 5 years? 4. Huge AI investments from tech titans who see AI as a strategic asset © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED. Definition of Data Science “” • Data Science is an interdisciplinary field that allows its practitioners to understand and analyze actual phenomena with data. • “Interdisciplinary” means that data scientists are trained in three complementary but distinct areas: 1. Mathematics and Statistics 2. Computer science & the sub-fields of artificial intelligence and machine learning 3. Subject matter knowledge about the analysis topic (i.e., How that domain’s “facts” are represented in the data) “” © 2017 | DATA SCIENCE INSTITUTE™: AMERICAN COLLEGE OF RADIOLOGY | ALL RIGHTS RESERVED.

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giants (e.g. Nvidia's DIGITS, Google's TensorFlow, . 489 (42) Oncology. 447 (38) Surgery. 445 (33) Medicine. 346 (21) Urology. 305 (29) Cardiology. 263 (37) Neurology. 261 (21) Gynecology. 258 (3) Radiation Oncology. 181 (28) Gastroenterology. 152 (16) Pediatrics. 150 (8) Emergency Medicine.
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