COURSE

Artificial Intelligence and Machine Learning

Instructions


This introductory course presents fundamental concepts of artificial intelligence (AI) and machine learning (ML) and suggests some initial potential applications to surgical practice.  The goal is to stimulate interest, initiate the learning curve, and encourage surgeons to seek opportunities to learn more and keep abreast of developments in AI and ML.  In the future, data-driven machine intelligence most likely will be able to inform clinical decision-making and allow surgeons to more accurately assess risk, predict disease progression, and manage patients with early stages of disease.  Other applications may improve surgical performance and operating room safety, reduce variability, and positively impact educational and patient outcomes.  Few formal educational activities specifically designed for surgeons in the areas of AI and ML are available.  This introductory course from the ACS Division of Education highlights the essential principles of AI and ML and their application to support decision making and enhance surgical care.

Course Lessons

The course includes the following eight on-line lessons:

  • Course Introduction
  • Lesson 1: Using Machine Learning in the Service of our Patients 
  • Lesson 2: Using Machine Learning in the Diagnosis and Treatment of Small Bowel Obstruction
  • Lesson 3: Using Machine Learning for the Prediction of Malignancy in Thyroid Nodules
  • Lesson 4: Using Machine Learning to Diagnose Mammographically Detected Breast Cancer
  • Lesson 5: What Value does AI Bring in the Surgical Profession?
  • Lesson 6: Automated Analysis of Surgical Video
  • Lesson 7: Explainable AI for Improving Surgical Performance and Safety
  • Lesson 8: Ethical Considerations for Machine Learning
  • Conclusion:  The Future of Machine Learning for Surgeons
Picture of Artificial Intelligence and Machine Learning
  • $250.00

About this course

Faculty Credentials

Disclosure Information

In accordance with the ACCME Accreditation Criteria, the American College of Surgeons must ensure that anyone in a position to control the content of the educational activity (planners and speakers/authors/discussants/moderators) has disclosed all financial relationships with any commercial interest (termed by the ACCME as “ineligible companies”, defined below) held in the last 24 months (see below for definitions). Please note that first authors were required to collect and submit disclosure information on behalf all other authors/contributors, if applicable.

Ineligible company

The ACCME defines an “ineligible company” as any entity producing, marketing, re-selling, or distributing health care goods or services used on or consumed by patients. Providers of clinical services directly to patients are NOT included in this definition.

Financial Relationships

Relationships in which the individual benefits by receiving a salary, royalty, intellectual property rights, consulting fee, honoraria, ownership interest (e.g., stocks, stock options or other ownership interest, excluding diversified mutual funds), or other financial benefit.  Financial benefits are usually associated with roles such as employment, management position, independent contractor (including contracted research), consulting, speaking and teaching, membership on advisory committees or review panels, board membership, and other activities from which remuneration is received, or expected.  ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.

Conflict of Interest

Circumstances create a conflict of interest when an individual has an opportunity to affect CME content about products or services of an ineligible company with which he/she has a financial relationship.

The ACCME also requires that ACS manage any reported conflict and eliminate the potential for bias during the educational activity.  Any conflicts noted below have been managed to our satisfaction. The disclosure information is intended to identify any commercial relationships and allow learners to form their own judgments. However, if you perceive a bias during the educational activity, please report it on the evaluation. 

Faculty and Disclosures

Daniel Buckland, MD, MS, PhD - Nothing to Disclose
Lawrence Carin, PhD - Nothing to Disclose
David Dov, PhD  - Nothing to Disclose
Timothy W. Dunn, PhD  - Nothing to Disclose
Nita Farahany, PhD, JD - Illumina: Ethics Consulting, Consulting Fee;  Helix: Ethics Consulting, Consulting Fee
Teodor Grantcharov, MD, PhD, FACS - SST Inc: Founder, IP & Salary
Daniel Hashimoto, MD, FACS  - Johnson & Johnson: Consulting, Consulting Fee, Verily Life Sciences: Consulting; Worrell: Consulting; Olympus Corporation: Sponsored Research Agreement, Research Support; McGraw Hill Education: Textbook Editor, Royalty Agreement
Ricardo Henao, PhD  - Nothing to Disclose
Erich S. Huang, MD, PhD – kelaHealth: Stratus Medicine, Founder, Equity; Clinetic: Founder, Equity; Optimize Health: Advisor, Equity; Valo Health: Consulting; Consulting Fee
Eun Sil S. Hwang, MD, FACS  - Nothing to Disclose
Allan D. Kirk, MD, PhD, FACS - Clinetic: Board Chair, Stock; CareDX: Consulting, FMV Consulting Fees; Sanofi: Consulting, FMV Consulting Fees;  Eurofins: Consulting, FMV Consulting Fees; Vertex: Consulting, FMV Consulting Fees; Novartis: Consulting, FMV Consulting Fees
Carla M. Pugh, MD, PhD, FACS - Medical Teaching Systems: Founder, Personal Financial Investment; 10 Newtons, Inc: Founder, Personal Financial Investment; 10 Newtons Women’s Wellness Foundation: Founder, Personal Financial Investment; Intuitive Surgical Foundation:  Consultant, Consultant Fee; PrecisionOS: Consultant, Consultant Fee
Danielle Elliott Range, MD  - Nothing to Disclose
Guy Rosman, PhD - Toyota Research Institute: Senior Research Scientist, Salary; Von Bispharma: Senior Research Scientist, Salary; Olympus: Consultant, Consulting Fee
Frank Rudzicz, PhD - Surgical Safety Technologies Inc: Director of AI, Salary
Ajit K. Sachdeva, MD, FACS, FRCSC, FSACME, MAMSE  - Nothing to Disclose


Steering Committee
Patrice Gabler Blair, DrPH, MPH – Nothing to Disclose
Allan D. Kirk, MD, PhD, FACS - Clinetic: Board Chair, Stock; CareDX: Consulting, FMV Consulting Fees; Sanofi: Consulting, FMV Consulting Fees; Eurofins: Consulting, FMV Consulting Fees; Vertex: Consulting, FMV Consulting Fees; Novartis: Consulting, FMV Consulting Fees
Ajit K. Sachdeva, MD, FACS, FRCSC, FSACME, MAMSE  - Nothing to Disclose
 

Special Acknowledgement
The ACS Division of Education extends its gratitude and appreciation to the Duke University Department of Surgery and School of Medicine faculty and staff who shared their expertise and worked diligently to complete this program. 
 

Learning Objectives

At the conclusion of this activity, participants will be able to:

  • Outline the foundational principles of artificial intelligence and machine learning that are most relevant to the application of artificial intelligence and machine learning in surgical practice and education.
  • Summarize surgical case scenarios in which artificial intelligence and machine learning could be applied to enhance care.
  • Describe the opportunities and limitations associated with the use of artificial intelligence and machine learning to support decision making of surgeon leaders.
     

Contact

Target Audience

Designed for surgeons, residents, administrators, and high-level decision-makers in surgery departments, this on-line course provides a fundamental understanding of the principles of artificial intelligence (AI) and machine learning (ML) and how they can be used to improve the delivery of healthcare and surgical patient outcomes.  The course from the ACS Division of Education focuses on case studies that illustrate the application of machine learning to surgery.  Limitations and ethical considerations are also presented.  Surgeons and department leaders interested in being able to converse with AI and ML technical experts will find the course beneficial.

 

CME Accreditation

Continuing Medical Education Credit Information

Accreditation

The American College of Surgeons is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

AMA PRA Category 1 Credits™

The American College of Surgeons designates this enduring activity for a maximum of 4.50 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

 

American College of Surgeons and ACGME Logos

Successful completion of this CME activity, which includes participation in the evaluation component, enables the learner to earn credit toward the CME of the American Board of Surgery’s Continuous Certification program. 
 

Release, Review, and Termination Dates 
Release date:  4/3/2023
Termination date:  4/3/2026
 

CME Credit Claiming Information

In order to claim a CME Certificate or a Certificate of Completion, the following requirements will need to be completed:

  • Review all course materials
  • Course evaluation

Participants may only claim a maximum of 4.50 AMA PRA Category 1 Credits™ for this activity.