ABAIM Review Course

Date

May 14 - 15 2021

Time

EST
9:00 am - 5:00 pm

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.

About the course:

  • The format is “flipped” in that much of the review will be faculty discussing (not presenting) slides
  • 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 ABAIM Educational Certification assessment (110 questions).

This course as well as independent study will prepare any attendee for the ABAIM Educational Certification assessment (110 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
- 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)
Speakers:
Alfonso Limon, Anthony Chang
10:15 - 10:30
Short Break
10:30 - 11:00
II. Data Science and Artificial Intelligence in the Current Era
- Healthcare Data and Databases (Modules 4.1-4.4)
Speakers:
Alfonso Limon, Anthony Chang
11:00 - 12:00
LUNCH SESSION (Entrepreneurship in AI in Medicine and Q&A)
Speakers:
Arlen Meyers
12:00 - 1:45
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, Ioannis Kakadiaris
1:45 - 2:00
SHORT BREAK
2:00 - 3:00
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, Ioannis Kakadiaris
3:00 - 3:30
LONG BREAK
3:30 - 5:00
II. Data Science and Artificial Intelligence in the Current Era (Continued)
Speakers:
Alfonso Limon, Anthony Chang, Ioannis Kakadiaris
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, Ioannis Kakadiaris
10:15 - 10:30
SHORT BREAK
10:30 - 11:00
II. Data Science and Artificial Intelligence in the Current Era (Continued)
Speakers:
Alfonso Limon, Ioannis Kakadiaris
11:00 - 12:00
LUNCH SESSION (Realtime Data Science Project)
12:00 - 1:45
III. The Current Era of Artificial Intelligence in Medicine
- Other Key Concepts in Artificial Intelligence (Modules 6.1-6.4)
- Clinician Cognition and Artificial Intelligence in Medicine (Modules 7.1-7.6)
- Artificial Intelligence in Subspecialties (Modules 8.1-8.5)
Speakers:
Alfonso Limon, Anthony Chang, Orest Boyko
1:45 - 2:00
SHORT BREAK
2:00 - 3:00
IV. The Future of Artificial Intelligence and Application in Medicine
Artificial Intelligence in Medicine
- Key Concepts of the Future of Artificial Intelligence (Modules 10.1-10.2)
- The Future of Artificial Intelligence in Medicine (Module 11.1)
-Miscellaneous Topics (Modules 12.1-3)
Speakers:
Alfonso Limon, Anthony Chang, Orest Boyko
3:00 - 3:30
LONG BREAK
3:30 - 5:00
Review: Pre-Course Assessment
Speakers:
Alfonso Limon, Anthony Chang, Ioannis Kakadiaris, Louise Sun, Orest Boyko, Piyush Mathur
5:00 -
Adjourn
Alfonso Limon
Alfonso Limon
Data Science Consultant
Highly effective technical director with proven accomplishments in a variety of engineering and medical applications combining mathematics, physics, and machine learning. Primarily focused on delivering state-of-the-art solutions impacting competitive business advantage– over a decade of experience building teams, designing complex data-driven projects, leading timeline-driven research programs, building milestone consensus for investors, and pitching technical goals to venture capitalists.
Anthony Chang
Anthony Chang
Chair, 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).
Arlen Meyers
Arlen Meyers
SoPE 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 is a Strategy Advisor to Medical Intelligence 10 (MI10), a healthcare AI consulting group. 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.
Ioannis Kakadiaris
Ioannis Kakadiaris
Data Science Lead
Award-Winning Inventor, Researcher, Mentor, Leader, & Expert Witness with over 23 years’ experience delivering creative, stakeholder-informed research coupled with value-driven AI, Computer Vision and Biometrics solutions. Founded and Directed a successful Research Center showcasing the ability to drive innovation and affect commercialization through careful strategic planning. Offers a broad perspective coupled with an incisive ability to discern the essence of complicated issues and develop pragmatic strategies that attain measurable results. Leader and team builder executing on the principal that bold, disruptive and impactful research originates from inspired, focused teams. Dr. Kakadiaris’ research has been covered by numerous national media outlets, including ABC News, and CBS News, Discovery Channel, National Public Radio, and NBC News.
Orest Boyko
Orest Boyko
Co-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.
Louise Sun
Louise Sun
Associate Professor, Department of Anesthesiology and Pain Medicine, University of Ottawa
Dr. Louise Sun is a cardiac anesthesiologist at the University of Ottawa Heart Institute (UOHI) and an assistant professor of anesthesiology and epidemiology at the University of Ottawa. Dr. Sun also holds a full status adjunct scientist position at the Institute for Clinical Evaluative Sciences (ICES). Dr. Sun is the director of Cardiocore Big Data Research Unit and Team Soleil at UOHI.
Piyush Mathur
Piyush Mathur
Staff Anesthesiologist and Critical Care Physician, Cleveland Clinic; Founder, BrainX
An anesthesiologist/Intensivist at Cleveland Clinic with greater than 20 years clinician experience.Also,trained in Quality through Cleveland Clinic quality fellowship with over 9 years of work experience as the Quality Improvement Officer of Anesthesiology Institute,Cleveland Clinic.For 9 years have also led the Compliance committee,Anesthesiology Institute,Cleveland Clinic. As an educator, have chaired the postgraduate education committee,Society of Critical Care Medicine.For more than 2 years served as the Program Director,Anesthesiology Critical Care Fellowship program. FCCM,Fellow of American College of Critical Care Medicine(SCCM). Co-founder of BrainX and BrainX Community. Recognized with more than 4 innovation awards at Cleveland Clinic,developer of difficult airway icon and process for EPIC.Trained in Computer programming through Udacity Nanodegree program with elective in data analysis, machine learning and artificial intelligence.

Speakers

  • Alfonso Limon
    Alfonso Limon
    Data Science Consultant

    Highly effective technical director with proven accomplishments in a variety of engineering and medical applications combining mathematics, physics, and machine learning. Primarily focused on delivering state-of-the-art solutions impacting competitive business advantage– over a decade of experience building teams, designing complex data-driven projects, leading timeline-driven research programs, building milestone consensus for investors, and pitching technical goals to venture capitalists.

  • Anthony Chang
    Anthony Chang
    Chair, 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).

  • Arlen Meyers
    Arlen Meyers
    SoPE 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 is a Strategy Advisor to Medical Intelligence 10 (MI10), a healthcare AI consulting group. 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.

  • Ioannis Kakadiaris
    Ioannis Kakadiaris
    Data Science Lead

    Award-Winning Inventor, Researcher, Mentor, Leader, & Expert Witness with over 23 years’ experience delivering creative, stakeholder-informed research coupled with value-driven AI, Computer Vision and Biometrics solutions. Founded and Directed a successful Research Center showcasing the ability to drive innovation and affect commercialization through careful strategic planning. Offers a broad perspective coupled with an incisive ability to discern the essence of complicated issues and develop pragmatic strategies that attain measurable results. Leader and team builder executing on the principal that bold, disruptive and impactful research originates from inspired, focused teams. Dr. Kakadiaris’ research has been covered by numerous national media outlets, including ABC News, and CBS News, Discovery Channel, National Public Radio, and NBC News.

  • Louise Sun
    Louise Sun
    Associate Professor, Department of Anesthesiology and Pain Medicine, University of Ottawa

    Dr. Louise Sun is a cardiac anesthesiologist at the University of Ottawa Heart Institute (UOHI) and an assistant professor of anesthesiology and epidemiology at the University of Ottawa. Dr. Sun also holds a full status adjunct scientist position at the Institute for Clinical Evaluative Sciences (ICES). Dr. Sun is the director of Cardiocore Big Data Research Unit and Team Soleil at UOHI.

  • May D. Wang
    May D. Wang
    Secretary, ABAIM

    Dr. May Dongmei Wang is a full professor in the Departments of Biomedical Eng. and Electrical and Computer Eng. at Georgia Institute of Technology and Emory University. She is the Director of Biomedical Big Data Initiative, a Kavli Fellow, a Georgia Cancer Coalition Distinguished Scholar, a Wallace H. Coulter Distinguished Faculty Fellow, a Petit Institute Faculty Fellow, an AIMBE Fellow, and an IAMBE Fellow. She was 2018-2020 Carol Ann and David D. Flanagan Faculty Fellow. She earned BEng from Tsinghua University China, and MS/PhD from Georgia Institute of Technology.

    Dr. Wang works in Biomedical Big Data Analytics and AI, with a focus on Biomedical and Health Informatics (BHI) for predictive, personalized, and precision health (pHealth). In FDA-organized MAQC international consortium, she led next gen sequencing RNA-Seq analytics. Dr. Wang published 250+ referred journal and conference proceeding articles with 12,000+ google scholar citations. She delivered over 240 invited and keynote lectures. She currently serves in RADx working group for COVID19.

    Dr. Wang is a recipient of Georgia Tech Outstanding Faculty Mentor Award for Undergraduate, and Emory MilliPub Award for a high-impact paper cited over 1,000 times. She was 2015-2016 IEEE Engineering in Medicine and Biology Society (EMBS) Distinguished Lecture, and was an Emerging Area Editor for PNAS.

    Dr. Wang serves as Senior Editor for IEEE Journal of Biomedical and Health Informatics, an Associate Editor for IEEE Transactions on Biomedical Engineering, and IEEE Reviews of Biomedical Engineering. She is a standing panelist for NIH BCHI, and provides reviews for NSF and multiple countries. She has helped organize ACM Bioinformatics, Computational Biology, and Health Informatics Conf., and IEEE International Conf. on Biomedical and Health Informatics since 2012, and 2016-8 Gordon Research Conf. on Advanced Health Informatics, and co-chaired 2016 IEEE EMBS Annual Conf. with 2,600+. She served in IEEE Big Data Initiative (BDI) Steering Committee, and was Vice President of IEEE EMBS, and AIMBE Nomination Committee Chair 2017-2019.

    Dr. Wang was Georgia Tech Biomedical Informatics Program Co-Director in Atlanta Clinical and Translational Science Institute, and Co-Director of Georgia-Tech Center of Bio-Imaging Mass Spectrometry. Her research has been supported by NIH, NSF, CDC, Georgia Research Alliance, Georgia Cancer Coalition, Shriners’ Hospitals for Children, Children’s Health Care of Atlanta, Enduring Heart Foundation, Coulter Foundation, Microsoft, HP, UCB, and Amazon.

  • Orest Boyko
    Orest Boyko
    Co-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.

  • Piyush Mathur
    Piyush Mathur
    Staff Anesthesiologist and Critical Care Physician, Cleveland Clinic; Founder, BrainX

    An anesthesiologist/Intensivist at Cleveland Clinic with greater than 20 years clinician experience.Also,trained in Quality through Cleveland Clinic quality fellowship with over 9 years of work experience as the Quality Improvement Officer of Anesthesiology Institute,Cleveland Clinic.For 9 years have also led the Compliance committee,Anesthesiology Institute,Cleveland Clinic.
    As an educator, have chaired the postgraduate education committee,Society of Critical Care Medicine.For more than 2 years served as the Program Director,Anesthesiology Critical Care Fellowship program.
    FCCM,Fellow of American College of Critical Care Medicine(SCCM).
    Co-founder of BrainX and BrainX Community.
    Recognized with more than 4 innovation awards at Cleveland Clinic,developer of difficult airway icon and process for EPIC.Trained in Computer programming through Udacity Nanodegree program with elective in data analysis, machine learning and artificial intelligence.

  • Robert Hoyt
    Robert Hoyt
    Clinical Lead

    Robert Hoyt MD received his undergraduate education at the University of Virginia and his medical education at Virginia Commonwealth University. While still on active duty in the US Navy he became involved with multiple implementations of health information technology. As a result of this experience and additional education at Stanford University, he created a Medical (Health) Informatics program at the University of West Florida in 2004. He noted early on that there were no current and practical textbooks on the subject, so he launched Health Informatics: Practical Guide in 2007. The seventh edition was published in 2018 and he just released his latest textbook Introduction to Biomedical Data Science in late 2019.

    Dr. Hoyt has also been involved with clinical and informatics research over the past decade and he has published and lectured extensively in these areas. He is a reviewer for multiple medical and informatics journals He became board certified in Clinical Informatics in 2015 and a Fellow of the American Medical Informatics Association in 2019.

    He is also involved in multiple community-oriented projects. He and his wife are a Big Couple for a local teenager, and both are Take Stock in Children mentors in the public-school system. They have supported two college scholarships annually for many years. Bob is the President of the Robert E Mitchell Foundation that supports Vietnam era prisoner of war research in Pensacola.

  • Sonia Gupta
    Sonia Gupta
    Treasurer, ABAIM

    Physician leader with expertise in healthcare Artificial Intelligence, diagnostic radiology (MRI/US/CT/X-ray), image guided procedures, digital health, regulatory requirements and FDA/CE approval, go-to-market strategies for Artificial Intelligence R&D, clinical validation, strategic planning, operations management, and M&A due diligence.

    Speaker and educator with former faculty appointments at Harvard Medical School and Temple University Hospital.