American Board of Artificial Intelligence in Medicine Review Course + American Board of Artificial Intelligence in Medicine Assessment and Certification (Virtual)

November 20th – 21st, 2020

9:00 am EDT – 6:00 pm EDT

American Board of Artificial Intelligence in Medicine Review Course + American Board of Artificial Intelligence in Medicine Assessment and Certification (Virtual)

American Board of Artificial Intelligence in Medicine Review Course (Virtual)

American Board of Artificial Intelligence in Medicine Assessment and Certification

Details Price Qty
Physician, Healthcare Executive, or Facultyshow details + $250.00 (USD)  
Trainees (Residents and Fellows) and Healthcare Staff (RN, Technicians, Etc)show details + $125.00 (USD)  
Students (High School, College & University, Medical Professional, and Graduate School)show details + $50.00 (USD)  

 

The American Board of Artificial Intelligence 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 the independent study will prepare anyone for the American Board of Artificial Intelligence in Medicine Assessment and Certification (100 questions in 2 hours).

The American Board of Artificial Intelligence in Medicine Review Course is designed for all who are interested in this domain, including clinicians, healthcare workers and executives, data scientists, trainees (residents and fellows), entrepreneurs, students (at all levels from high school to professional school), and anyone who is interested in having a basic understanding of artificial intelligence in the context of clinical medicine and healthcare:

  • Clinicians
  • Healthcare workers
  • Executives
  • Data scientists
  • Trainees (residents and fellows)
  • Entrepreneurs
  • Students
    • High School
    • Professional School
    • University/College

and anyone who is interested in having a basic understanding of artificial intelligence in the context of clinical medicine and healthcare.

The American Board of Artificial Intelligence in Medicine Review Course will entail the following objectives:

  • Review the evolution of artificial intelligence in society as well as in medicine and healthcare
  • Understand the relevance of artificial intelligence in clinical medicine
  • Know the relevant aspects of data, information, and databases in healthcare
  • Appreciate how clinicians think and how artificial intelligence can transform the quality of decisions
  • Comprehend basic concepts in machine and deep learning and their applications
  • Follow the machine learning workflow and barriers to adoption in an organization
  • Assess the utility and application of natural language processing and cognitive computing
  • Evaluate the future aspects of artificial intelligence in clinical medicine and healthcare
  • Recognize important issues of ethics and bias of artificial intelligence in clinical medicine
  • Devise artificial intelligence strategies for healthcare organizations and companies
  • Explore intellectual and cultural similarities and differences between clinicians and data scientists
  • Learn entrepreneurship and strategy of artificial intelligence in healthcare

This CME activity has been planned and implemented in accordance with the Essential Areas and Policies of the Accreditation Council for Continuing Medical Education. Northwest Imaging Forums (NWIF) is accredited by the ACCME to provide continuing medical education for physicians. Northwest Imaging Forums designates this live activity for a maximum of 16.0 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity.

The American Board of Artificial Intelligence in Medicine Review Course has been submitted for approval of 10 hours of category A CE technologist credit as designated by The American Society of Radiologic Technologists (ASRT) RCEEM. ARRT regulations state that an individual may not repeat a live activity for credit if it was reported in the same or any subsequent biennium. To receive the maximum amount of credit hours, you must attend all sessions. Verification of attendance policies will be in place for each lecture.

Nurses may claim credit for activities approved for AMA PRA Category 1 CreditsTM in most states, for up to 50% of the nursing requirement for re-certification. This activity is designated for up to 16.0 AMA PRA Category 1 CreditsTM.

Faculty and Planner Disclosures: As an accredited provider of continuing medical education, it is the policy of Northwest Imaging Forums (NWIF) to ensure balance, independence, objectivity, and scientific rigor in all of its live activities. In accordance with this policy, faculty and planners must disclose any financial relationships with commercial interests germane to program content. Additionally, in the event a conflict of interest (COI) does exist, it is the policy of NWIF to ensure that the COI is resolved in order to ensure the integrity of the CME activity. The planner has nothing to disclose.

AMERICAN BOARD OF ARTIFICIAL INTELLIGENCE IN MEDICINE
(ABAIM)

Anthony Chang, MD, MBA, MPH, MS
Founder, AIMed
Chief Intelligence and Innovation Officer
Medical Director, The Sharon Disney Lund
Medical Intelligence and Innovation Institute (MI3)
Children’s Hospital of Orange County
Orest B. Boyko, MD, PhD
Associate Professor of Radiology
SONIA GUPTA, MD
Director of Ultrasound
MAY WANG, PHD
Georgia Tech and Emory U
Professor | Georgia Cancer Coalition Distinguished Cancer Scholar | Director of Biocomputing and Bioinformatics Core, Emory-Georgia Tech Center of Cancer Nanotechnology Excellence
IOANNIS KAKADIARIS, PHD
Director, CBL
Hugh Roy and Lillie Cranz Cullen University Professor
University of Houston
Arlen Meyers, MD, MBA
Emeritus Professor, University of Colorado School of Medicine
Faculty, University of Colorado Denver Business School
President and CEO, Society of Physician Entrepreneurs (SoPE)
Robert E. Hoyt MD FACP FAMIA ABPM-CI CAPT USN (ret)

Associate Clinical Professor,
Department of Medicine
Virginia Commonwealth University School of Medicine
Pensacola, Florida

All cancellation requests must be in writing.

1. Cancellations received on or before: 11/10/20 will receive a full refund.
2. Those received after 11/10/20 but through 11/15/20 are subject to a 25% service charge.
3. No credit or refunds are available on or after 11/15/20. No exceptions will be made.

In the event that any situation beyond the control of NWIF makes it impossible to conduct the meeting as advertised, each paid attendee will receive a voucher to attend a future NWIF meeting.

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ABAIM Review Course - Agenda

Day 1
8:00 am EDT

Pre Assessment: Artificial Intelligence in Medicine (50 Questions)*  

*Attendees who can not make the 8:00 am EDT Pre Assessment will have the opportunity to take the Pre Assessment the day before.

9:00

Orientation to the ABAIM Artificial Intelligence in Medicine review course.

Introduction to Artificial Intelligence

  • Basic Concepts of Artificial Intelligence
  • History of Artificial Intelligence
  • History of Artificial Intelligence in Medicine
  • Healthcare Data and Databases
10:15Break
10:30

Data Science and Artificial Intelligence in the Current Era

  • Machine and Deep Learning (Part I)
    • Supervised and Unsupervised Learning
11:30 pmLUNCH (Entrepreneurship in AI in Medicine)
12:30 pm

Data Science and Artificial Intelligence in the Current Era

  • Machine and Deep Learning (Part II)
    • Ensemble Learning
    • Neural Networks
1:45Break
2:00

Data Science and Artificial Intelligence in the Current Era

  •  Other Key Concepts in Artificial Intelligence
3:00Break
3:30Q&A
5:00Networking
6:00Adjourn
Day 2
9:00 am

Review of Day #1
Data Science and Artificial Intelligence in the Current Era

  • Machine and Deep Learning (Part III)
    • Assessment of Model Performance
    • Evaluation of Classification Models
    • Issues with Machine and Deep Learning
10:15Short Break
10:30

The Current Era of Artificial Intelligence in Medicine

  •  Clinician Cognition and Artificial Intelligence in Medicine
11:30 pmLunch Session (Q&A)
12:30

The Current Era of Artificial Intelligence in Medicine

  •  Artificial Intelligence in Subspecialties

The Future of Artificial Intelligence and Application in Medicine

  •  Key Concepts of the Future of Artificial Intelligence
  • The Future of Artificial Intelligence in Medicine
1:45Short Break
2:00

Artificial Intelligence in Medicine

  • Miscellaneous Topics
3:00Long Break
3:30Review: Pre-Course Assessment
5:00Adjourn
 Post-Course Assessment will be available for 48 hours after the review course is complete – starting at 6:00 pm Eastern (50 Questions)