SAGES Webinar - A.I. and Surgical Education

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* 1. How many people in your group were viewing this session today?

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* 2. Are you a resident?

Yes

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* 3. If you answered YES to Q2, what year?

PGY1

PGY2

PGY3

PGY4

PGY5

Other

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* 4. If you answered NO to Q2, please choose from the list below:

a. MIS Surgeon

b. GI Surgeon

c. General Surgeon

d. Allied Health

e. Fellow

f. Gastroenterologist

g. Other (please list)

If other (please specify)

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* 5. Are you a SAGES Candidate Member?

Yes

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* 6. If you answer NO to Q4, what can we do to make candidate membership and SAGES membership more attractive to webinar participants?

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* 7. If you're not a SAGES member and interested to join, please provide your name and email address. Or visit SAGES Membership

Full Name:

Email Address:

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* 8. How did you hear about this webinar?

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* 9. What day of the week would you prefer to participate in a webinar?

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* 10. What is best time of day to participate in a webinar (Eastern Standard Time)?

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* 11. In the future, how could we make these webinars better?

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* 12. Please indicate all topics that interest you:

a. Hernia

b. Motility

c. Flexible Endoscopy

d. Basic Science

e. Ultrasound

f. New Technology

g. Bariatrics

h. Basic Laparoscopic Procedures

i. Advanced Laparoscopic Techniques

j. Other (please describe):

If other (please describe)

JUNE 13, 2023 webinar

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* 13. Lectures/Presentations

	Excellent	Good	Ave.	Fair	Poor
a. Session Content	a. Session Content Excellent	a. Session Content Good	a. Session Content Ave.	a. Session Content Fair	a. Session Content Poor
b. Format	b. Format Excellent	b. Format Good	b. Format Ave.	b. Format Fair	b. Format Poor

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* 14. Presenters

	Excellent	Good	Ave.	Fair	Poor
Overview of Machine Learning, Computer Vision and Surgical Data Science - Dr. Madani	Overview of Machine Learning, Computer Vision and Surgical Data Science - Dr. Madani Excellent	Overview of Machine Learning, Computer Vision and Surgical Data Science - Dr. Madani Good	Overview of Machine Learning, Computer Vision and Surgical Data Science - Dr. Madani Ave.	Overview of Machine Learning, Computer Vision and Surgical Data Science - Dr. Madani Fair	Overview of Machine Learning, Computer Vision and Surgical Data Science - Dr. Madani Poor
AI for Assessment of Feedback - Dr. Hung	AI for Assessment of Feedback - Dr. Hung Excellent	AI for Assessment of Feedback - Dr. Hung Good	AI for Assessment of Feedback - Dr. Hung Ave.	AI for Assessment of Feedback - Dr. Hung Fair	AI for Assessment of Feedback - Dr. Hung Poor
AI to Augment Operative Performance: Current state and Emerging Methodologies - Dr. Thanawala	AI to Augment Operative Performance: Current state and Emerging Methodologies - Dr. Thanawala Excellent	AI to Augment Operative Performance: Current state and Emerging Methodologies - Dr. Thanawala Good	AI to Augment Operative Performance: Current state and Emerging Methodologies - Dr. Thanawala Ave.	AI to Augment Operative Performance: Current state and Emerging Methodologies - Dr. Thanawala Fair	AI to Augment Operative Performance: Current state and Emerging Methodologies - Dr. Thanawala Poor
Developing and Validating an Algorithm: Best Practices - Dr. Donoho	Developing and Validating an Algorithm: Best Practices - Dr. Donoho Excellent	Developing and Validating an Algorithm: Best Practices - Dr. Donoho Good	Developing and Validating an Algorithm: Best Practices - Dr. Donoho Ave.	Developing and Validating an Algorithm: Best Practices - Dr. Donoho Fair	Developing and Validating an Algorithm: Best Practices - Dr. Donoho Poor
Q&A and Panel Discussion - all Faculty	Q&A and Panel Discussion - all Faculty Excellent	Q&A and Panel Discussion - all Faculty Good	Q&A and Panel Discussion - all Faculty Ave.	Q&A and Panel Discussion - all Faculty Fair	Q&A and Panel Discussion - all Faculty Poor

SAGES Webinar - A.I. and Surgical Education - June 13, 2023

Question Title

* 1. How many people in your group were viewing this session today?

Question Title

* 2. Are you a resident?

Question Title

* 3. If you answered YES to Q2, what year?

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* 4. If you answered NO to Q2, please choose from the list below:

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* 5. Are you a SAGES Candidate Member?

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* 6. If you answer NO to Q4, what can we do to make candidate membership and SAGES membership more attractive to webinar participants?

Question Title

* 7. If you're not a SAGES member and interested to join, please provide your name and email address. Or visit SAGES Membership

Question Title

* 8. How did you hear about this webinar?

Question Title

* 9. What day of the week would you prefer to participate in a webinar?

Question Title

* 10. What is best time of day to participate in a webinar (Eastern Standard Time)?

Question Title

* 11. In the future, how could we make these webinars better?

Question Title

* 12. Please indicate all topics that interest you:

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* 13. Lectures/Presentations

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* 14. Presenters

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* 15. Did you find the Q&A function useful?

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* 16. Was the Question and Answer period sufficient?

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* 17. Lecture suggestions or comments: