ABAIM Review Course
The ABAIM AI in Medicine Review Course is a comprehensive, two-day course on basic concepts in artificial intelligence in clinical medicine and healthcare designed by a team of clinician-data scientists as well as clinicians with an AI focus and data scientists who are involved in healthcare. This course is for all who are interested in having an overall review of concepts and applications in artificial intelligence in clinical medicine and healthcare. The format is “flipped” in that much of the review will be faculty discussing (not presenting) slides (much less than conventional courses) and questions with answers. In addition, the attendees are encouraged to ask questions throughout the sessions. There will also be a “pre” and “post” review course assessment with half the number of questions (50 questions) as the certification assessment (100 questions).
This course as well as independent study will prepare any attendee for the ABAIM AI in Medicine Assessment and Certification (100 questions in 2 hours).
Hourly Schedule
Day 1
- 9:00 - 10:15
- Orientation to the ABAIM Artificial Intelligence in Medicine Review Course
I. Introduction to Artificial Intelligence
II. Data Science and Artificial Intelligence in the Current Era - - Basic Concepts of Artificial Intelligence (Modules 1.1-1.5)
- History of Artificial Intelligence (Module 2.1)
- History of Artificial Intelligence in Medicine (Module 3.1)
- Healthcare Data and Databases (Modules 4.1-4.4) -
Speakers:
Alfonso Limon, Anthony Chang, Robert Hoyt
- 10:15 - 10:30
- SHORT BREAK
- 10:30 - 11:30
- II. Data Science and Artificial Intelligence in the Current Era
- - Machine and Deep Learning (Part I)(Modules 5.1-5.8)
- Supervised and Unsupervised Learning -
Speakers:
Alfonso Limon, Anthony Chang, Robert Hoyt
- 11:30 - 12:30
- LUNCH SESSION (Data Science in Real-Time)
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Speakers:
Alfonso Limon, Anthony Chang, Robert Hoyt
- 12:30 - 1:45
- II. Data Science and Artificial Intelligence in the Current Era
- - Machine and Deep Learning (Part II)(Modules 5.9-5.14)
- Ensemble Learning
- Neural Networks -
Speakers:
Alfonso Limon, Anthony Chang, Robert Hoyt
- 1:45 - 2:00
- SHORT BREAK
- 2:00 - 3:00
- II. Data Science and Artificial Intelligence in the Current Era
- - Other Key Concepts in Artificial Intelligence (Modules 6.1-6.4)
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Speakers:
Alfonso Limon, Anthony Chang, Orest Boyko
- 3:00 - 3:30
- LONG BREAK
- 3:30 - 5:00
- Q&A
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Speakers:
Anthony Chang
- 5:00 - 6:00
- NETWORKING
Day 2
- 9:00 - 10:15
- Review of Day 1
II. Data Science and Artificial Intelligence in the Current Era - - Machine and Deep Learning (Part III)(Modules 5.15-5.17)
- Assessment of Model Performance
- Evaluation of Classification Models
- Issues with Machine and Deep Learning -
Speakers:
Alfonso Limon, Anthony Chang
- 10:15 - 10:30
- SHORT BREAK
- 10:30 - 11:30
- III. The Current Era of Artificial Intelligence in Medicine
- - Clinician Cognition and Artificial Intelligence in Medicine (Modules 7.1-7.6)
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Speakers:
Anthony Chang, Orest Boyko
- 11:30 - 12:30
- LUNCH SESSION (Entrepreneurship in AI in Medicine and Q&A)
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Speakers:
Arlen Meyers
- 12:30 - 1:45
- III. The Current Era of Artificial Intelligence in Medicine
IV. The Future of Artificial Intelligence and Application in Medicine - - Artificial Intelligence in Subspecialties (Modules 8.1-8.5)
- Key Concepts of the Future of Artificial Intelligence (Modules 10.1-10.2)
- The Future of Artificial Intelligence in Medicine (Module 11.1) -
Speakers:
Alfonso Limon, Anthony Chang, Orest Boyko
- 1:45 - 2:00
- SHORT BREAK
- 2:00 - 3:00
- Artificial Intelligence in Medicine
- - Ethics and Miscellaneous Topics (Modules 12.1-3)
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Speakers:
Alfonso Limon, Anthony Chang, Orest Boyko
- 3:00 - 3:30
- LONG BREAK
- 3:30 - 5:00
- Review: Pre-Course Assessment
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Speakers:
Alfonso Limon, Anthony Chang, Orest Boyko
- 5:00 -
- ADJOURN
Speakers
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Anthony ChangChair, ABAIM
After his cardiology training at the Children’s Hospital of Philadelphia with his research interest in mathematics and chaos theory in biomedicine, Dr. Anthony Chang was an attending cardiologist in the cardiovascular intensive care unit of Boston Children’s Hospital and an assistant professor at Harvard Medical School. Throughout his career as a pediatric cardiac intensive care physician, he has been interested in applications of biomedical data to decision-making. He completed his Masters of Science (MS) in Data Science with a sub-specialization in artificial intelligence from Stanford School of Medicine. He is also a computer scientist-in-residence at Chapman University. He is currently the Chief Intelligence and Innovation Officer and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County.
He is the founder and medical director of the Medical Intelligence and Innovation Institute (MI3) that is supported by the Sharon Disney Lund Foundation. The institute, founded in 2015, is dedicated to the introduction and implementation of artificial intelligence in medicine and was the first institute of its kind in a hospital. He intends to build a clinician-computer scientist interface with a nascent society (the Medical Intelligence Society) and is the editor-in-chief of Intelligence-based Medicine, the accompanying journal for his book, Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare. He is the organizing chair for Artificial Intelligence in Medicine (AIMed) meetings around the world, the largest and most comprehensive clinician-led meetings that focus on applications of artificial intelligence in medicine and the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM).
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Arlen MeyersSoPE President & Co-Founder
Dr. Meyers is a retired professor of otolaryngology, dentistry, and engineering at the University of Colorado Anschutz Medical campus and President and CEO of SoPE. He has founded several medical device companies and is also the cofounder of a medical tourism company. His primary research centers around biomedical and health innovation and entrepreneurship and life science technology commercialization. He consults for and speaks to companies, governments, colleges and universities around the world who need expertise and contacts in the areas of bio entrepreneurship, bioscience, healthcare, healthcare IT, medical tourism — nationally and internationally, new product development, product design, and financing new ventures. Dr. Meyers is a Fulbright Scholar and a former Harvard-Macy Fellow. A devoted and prolific member of the SoPE community, Dr. Meyers also leads the Colorado Chapter of SoPE.
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Orest BoykoCo-Chair, ABAIM
Orest B. Boyko MD PhD is an American Board of Radiology board certified radiologist with an additional ABR certificate of added qualifications in Neuroradiology.
Dr Boyko has been an Associate Professor since 2007 at the University of Southern California in Los Angeles, California, and currently is part of the USC Bridge Institute housed in the USC Michelson Center for Convergent Bioscience on the main campus of USC.
As a radiologist, Dr Boyko as been working in the AI research community as a physician consultant since December 2013 in multi-modal mining in healthcare in the research lab of Dr Tanveer Sayeda-Mahmood in the IBM Almaden Research Center 650 Harry Road, San Jose, CA 95120 which has developed natural language processing applications to the electronic health record to assist in clinical decision support. Dr Boyko has also been since its inception involved the currently concluding IBM Healthcare Initiative in Radiology called the IBM Medical Sieve Radiology Grand Challenge in initial cutting edge research development of a radiology and cardiology cognitive assistant.
Recently, Dr Boyko accepted an invitation to chair the newly created Guerbet Digital Solutions AI Advisory Board and Guerbet initiate to create an AI community in conjunction with Applied Radiology.
Dr Boyko is active in advancing learning initiatives for the field of AI and machine learning.
Dr Boyko has co-authored over 100 papers and book chapters in the field of radiology, neuroradiology and MRI.
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Sara GerkeResearch Fellow, Medicine, Artificial Intelligence, and Law, Petrie-Flom Center, Harvard Law SchoolI undertake the day-to-day work of the Petrie-Flom Center’s Project on Precision Medicine, Artificial Intelligence, and the Law (PMAIL), including conducting law, policy, and ethics research; drafting reports and recommendations; and coordinating the Center’s efforts with collaborators at the Center for Advanced Studies in Biomedical Innovation Law (CeBIL) at the University of Copenhagen as well as other partners.
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Tanveer Syeda-MahmoodIBM Fellow, Global Imaging AI Leader at IBM ResearchDr. Tanveer Syeda-Mahmood is an IBM Fellow and Chief Scientist/overall lead for the Medical Sieve Radiology Grand Challenge project in IBM Research, Almaden. The goal of this project is to develop automated radiology and cardiology assistants of the future that help clinicians in their decision making. Read her story at http://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/2016/ .
