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.
This course as well as independent study will prepare any attendee for the ABAIM AI in Medicine Assessment for Certification (100 questions in 2 hours).
About the course...
- This is a “flipped” format focused on discussing slides rather than presenting slides
- Attendees are encouraged to ask questions throughout the sessions
- There will be a 50-question “pre” assessment
- There will be a 50-question “post” assessment
Limited registrations available
Review Course and Certification
Review Course Only
Physician, Healthcare Executive, or Faculty
Trainees and Healthcare Staff
Residents, Fellows, RNs, Technicians, etc.
High School, College and University, & Medical/Professional/Graduate School
Program Description / Statement of Need:
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 for all who are interested in having an overall review of concepts and applications in artificial intelligence in clinical medicine and healthcare. This course as well as independent study will prepare anyone for the ABAIM AI in Medicine Assessment and Certification (100 questions in 2 hours).
The ABAIM AI in Medicine Review Course is designed for all who are interested in this domain, including: 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.
Accreditation and CME Credit Statements:
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 Credits™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
The ABAIM AI in Medicine Review Course has been submitted for approval of 10 hours of category A CE technologist credit as designated by The Society for MR Radiographers & Technologists (SMRT) 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 Credits™ 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 Credits™.
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.
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 ethics of artificial intelligence in healthcare
What is the American Board of Artificial Intelligence in Medicine (ABAIM)?
The ABAIM is an independent, nonprofit organization which aims to assist individuals to complete a certification as a credential for knowledge in the principles and applications of artificial intelligence and human cognition in medicine and healthcare (inclusive of related fields/areas of biomedical informatics, biostatistics, trial design, evidence-based medicine, etc).
The vision is to improve understanding and application of artificial intelligence to pursue improved outcome in clinical medicine and healthcare. The mission is to maintain and advance knowledge and expertise in artificial intelligence and human cognition in clinical medicine and health care by certifying clinicians, healthcare professionals, and students as well as data scientists and other stakeholders who meet the standards of knowledge.
A distinguished multidisciplinary board of officers and leads with a 50-member group of advisors (covering subspecialties of clinical medicine, areas of artificial intelligence, or both) was convened for the nascent American Board of Artificial Intelligence in Medicine (ABAIM). The advisory group will guide to ABAIM board to execute the strategy to accomplish the vision and mission of the ABAIM.
This course is designed especially for clinicians and healthcare workers as well as students and trainees with little or no background in computer programming, data science, or artificial intelligence as well as data scientists and AI experts who do not have intimate clinical knowledge as we cover many areas in the domains of clinical medicine and artificial intelligence.
This course and assessment with certification is designed for everyone in this domain, with many topics relevant for data scientists in this domain (please see agenda).
The Assessment will consist of 100 multiple-choice questions to be answered in 2 hours. Upon successful completion of this assessment with a score commensurate with passing (to be determined), the certification will be awarded.
There will be a monthly or quarterly (depending on class size) two-day review course and recommended textbooks as well as suggested videos and articles. An ABAIM certification question and answer book is available to attendees. There will be a mini pre- and post-course assessment before and after the review course in preparation for the ABAIM Assessment and Certification.
The ABAIM certification is an educational competency certification that will be valid for two years.
There will not be ongoing fees, however there will be a fee for recertification.
There is interest in educational and professional development towards specialized training in the form of fellowship in artificial intelligence in medicine and healthcare.
There will be either a tiered passing score strategy or different assessments for several groups. This is an ongoing discussion with the board and advisor group.
You can get involved by contacting us and submit your resume to join the advisory group in some capacity or let healthcare leaders and workers know about this review course and assessment and certification.