AI in surgical training
Mark Coleman
Mark Coleman
Consultant Surgeon
Clinical Director
Associate Professor
Colorectal Unit
University Hospitals Plymouth NHS Trust
Disclosures
Define AI
The capability of a computer to perform actions analogous to the human brain (McCarthy 1956)
Teenage sex
Becoming an expert surgeon
motivation
training
practice
persistence
awareness
Kind Thanks to Roland Valori and Robin Kennedy for this slide
Effective Health Care 1999;5(1)
persuasion
facilitation
consciously expert
unconsciously inexpert
Trainee
Trainer
SYSTEM
Becoming an expert surgeon
motivation
training
practice
persistence
awareness
Kind Thanks to Roland Valori and Robin Kennedy for this slide
Effective Health Care 1999;5(1)
persuasion
facilitation
consciously expert
unconsciously inexpert
Trainee
Trainer
SYSTEM
AI
AI uses in surgical training
Selection
Assessment
Pre-procedure training
Technical competency
Technical guidance
Technical intervention
Non-technical skills
Post procedure analysis
Sign off
AI in training - ?’s
Can AI measure performance objectively in surgery?
Are significant differences observed between novices and experts?
Does surgical Surgical performance affect clinical outcomes?
Can AI provide real time feedback?
Future possibilities of AI – image overlay – feedback - intervention
AI & training
What is its role now?
Future role
Cost
Priorities for AI in training
Objective
Automated
Realtime
Cost effective
Competency evaluation
Reliable
Validated
Quick
Intuitive
Objectives of surgical training
EFFICIENT
EFFECTIVE
SAFE
COST EFFICIENT
Basic operative AI metrics
Time to completion
Instrument path length
Errors – consequence (corrected/uncorrected), no consequence
Confirming Objective AI metrics in training
Construct validation – expert vs novice
Concurrent validation – expert evaluation
Reliable – reproducible between raters
Live feedback
Selected 4 steps performed by widest range of surgeon experience
Bladder mobilization
Seminal vesicle dissection
Anterior Vesico-urethral anastomosis
Rt lateral pelvic LN dissection
Residents, fellows and surgeons
>100 cases = expert
GEARS – global evaluative assessment of robotic skills – 3 experts
AI in RARP – DaVinci + DV logger 100 cases
results
results
results
Results – 3D instrument path tracings
DEVELOPING BASIC HAND-EYE COORDINATION SKILLS�FOR LAPAROSCOPIC SURGERY USING GAZE TRAINING�Mark Wilson*, Mark Coleman† and John McGrath – Department of Urology, Royal Devon and Exeter NHS Foundation Trust and *Department of Sports and Health Sciences, University of Exeter, Exeter; and †National Training Programme in Laparoscopic Colorectal Surgery (LAPCO), Plymouth, UK�Accepted for publication 12 January 2010 �© 2010 THE AUTHORS JOURNAL COMPILATION © 2010 BJU INTERNATIONAL��Novices see instruments, experts see the field�Gaze analysis can be used for training ��
Conclusions - 1
Can distinguish between experts and novices for real-time events and kinematics
Surgical competence
Time
Independence
Error
Is Competency Assessment at the Specialist Level Achievable? A Study for the National Training Programme in Laparoscopic Colorectal Surgery in England�
GAS FORM EXAMPLE
GRADING OF STEPS
1- 6 SCALE
GAS Form data – raw – vs CUSUM
Author Information Annals of Surgery: March 2013 - Volume 257 - Issue 3 - p 476-482
CUSUM plot – 3 trainees & average scores
Author Information Annals of Surgery: March 2013 - Volume 257 - Issue 3 - p 476-482
GAS form scores – procedural steps
Author Information Annals of Surgery: March 2013 - Volume 257 - Issue 3 - p 476-482
GAS form scores – LCS procedures
Author Information Annals of Surgery: March 2013 - Volume 257 - Issue 3 - p 476-482
�
Competency Assessment�Observational clinical human reliability analysis (OCHRA) (Concurrent Validity)
Miskovic et al Surg Endosc 2012 Mar;26(3):796-803
Competency Assessment�Reliable prediction of competent performers (Concurrent validity)
Miskovic et al Surg Endosc 2012 Mar;26(3):796-803
Sign off and outcomes
Danilo Miskovic, Susannah M Wyles, Fiona Carter, Mark G Coleman, George B Hanna. Surgical endoscopy 2011, 25 (4) 1136-1142
Lapco sign off: risk factors for failure�
Competency Assessment�Clinical Outcomes Related to LCAT Score (Predictive Validity)
Lapco Competency Assessment – Lessons Learned
Does performance correlate to outcomes & can this be measured objectively?
Conclusions - 2
Surgical skills correlate to clinical outcomes……but do they longterm?
� J Clin Oncol 2010 10;28(2):272-8.� doi: 10.1200/JCO.2009.24.1448.
New Lapco Digital Learning Platform
Aim: to create a versatile user-friendly digital training platform for surgeons
Protect- Commercially Sensitive. Copyright Lapco Consultancy Ltd 2021
Protect- Commercially Sensitive. Copyright Lapco Consultancy Ltd 2021
Protect- Commercially Sensitive. Copyright Lapco Consultancy Ltd 2021
summary
AI can be used to evaluate performance
Performance correlates to clinical outcomes
AI can already provide real-time feedback
AI enabled robotic interfaces could guide and correct surgeons
Thank you!