ISCFS 2023 Pre-Congress
Symposium ARTIFICIAL INTELLIGENCE (AI) & EXTENDED REALITY (XR):
THE FUTURE OF CRANIOFACIAL SURGERY
Register for the ISCFS 2023 Pre-Congress Symposium to interact with experts and explore how artificial intelligence and extended reality are fast becoming the future of craniofacial surgery.
Advances in machine learning, augmented reality, and virtual reality are advancing at a blistering pace and will soon bring these technologies out of the world of science fiction and into our clinical practice.
Attendees will learn about cutting-edge applications of this technology and participate in a robust discussion with experts as to where we are headed. Ethical, legal, and entrepreneurial perspectives will be shared by thought leaders in medicine and industry. The highlight of the day will be a hands-on Technology Fair where you will be able to try out an array of new devices coming to market.
Be sure to register early as participation numbers are limited!
Program
Hyatt Regency, Seattle, Washington USA
Tuesday, September 5, 2023
Pre-Congress Symposium Chairs: Samuel Browd MD PhD, Raj Vyas MD
Download program (pdf):
8:00 am
WELCOME AND INTRODUCTIONS
Overview of Congress & Pre-Congress Symposium
Richard Hopper (US)
Surgery after COVID: Moving Beyond Telehealth into Our Future
Raj Vyas (US)
Introduction Keynote Presenter
Sam Browd (US)
8:15-9:05 am
SYMPOSIUM KEYNOTE PRESENTATION
Edgar Auslander (United States)
Senior Director, Head of Strategic Partnership and Intelligence at Meta (aka Facebook)
9:05-10:50 am
PANEL 1:
ARTIFICIAL INTELLIGENCE (AI) IN CRANIOFACIAL SURGERY:
DATA & DECISION-MAKING
Automated Syndrome Diagnosis by Three-Dimensional Facial Imaging
Benedikt Hallgrimsson (Canada)
Machine Learning for Cephalogram Mapping and CT Artifact Reduction
Soh Nishimoto (Japan)
Neural Networks Trained for Synostosis and Microtia: Diagnosis & Outcomes
Alex Kane (United States)
AI & Data-Sharing to Rank Severity of Metopic Synostosis: Yes or No to Surgery
Jesse Goldstein (United States)
Identification of Cleft Anthropometry to Facilitate AR/VR Training
Ross Sayadi (United States)
Face Value: Machine Learning for Improved Surgical Outcomes
Owase Jeelani (United Kingdom)
Automated Virtual Planning Using AI and Statistical Shape Models
Marc Metzger (Germany)
AI Powered Cleft Care: From Handcrafted to Automated PSO and from Multi-Step to Single-Step
Andreas Mueller (Switzerland)S
10:50-11:10 am
Coffee Break
11:10-11:35 am
ETHICAL CONSIDERATIONS OF ARTIFICIAL INTELLIGENCE IN
CRANIOFACIAL SURGERY
Christian Vercler (United States)
11:35 am-1:00 pm
PANEL 2:
EXTENDED REALITY IN CRANIOFACIAL SURGERY: SURGICAL
PLANNING, KNOWLEDGE/SKILL TRANSFER & INTRAOPERATIVE GUIDANCE
Simulation in Cleft Training: Moving from Digital to Virtual
Roberto Flores (United States)
VR for Virtual Surgical Planning in Craniofacial Surgery
Pravin Patel (United States)
AR/VR Live Continuous Navigation and Data Acquisition
Sam Browd (United States)
AR Using Wearable Glass Tech & Computer Vision for Planning and Navigation
Christian El Amm (United States)
Spatial AR with 3D Surface Projection for Remote Intra-Operative Guidance
Raj Vyas (United States)
1:00 – 2:00 pm
Lunch
2:00 – 4:00 pm
HANDS-ON TECHNOLOGY FAIR
Network and try out the latest technology in AR, VR, robotics and simulation.
4:00 – 5:25 pm
PANEL 3: FROM IDEAS TO CREATION
AI/XR in Healthcare: Navigating the FDA
Ryan Douglas, Co-Founder and CEO, DeepWell DTX (United States)
Building Biomedical Devices: Steps and Pitfalls
Scott Phillips, President, StarFish Medical (Canada)
Funding Computational Health and Healthcare Innovation
Armen Vidian, Venture Capitalist (United States)
Protecting your IP & Other Legal Considerations
Mark Gardner, MBA JD, Gardner Law (United States)
5:25 pm
CLOSING REMAKRS
Hyatt Regency, Seattle, Washington USA – Tuesday, September 5, 2023
Pre-Congress Symposium Chairs: Samuel Browd MD PhD, Raj Vyas MD
Post-Covid: Moving Beyond Telehealth into Our Future
SYMPOSIUM KEYNOTE PRESENTATION
Edgar Auslander (United States)
Senior Director, Head of Strategic Partnerships, and Intelligence at Meta, (aka. Facebook)
PANEL 1: ARTIFICIAL INTELLIGENCE (AI) IN CRANIOFACIAL SURGERY: DATA & DECISION-MAKING
Automated syndrome diagnosis by three-dimensional facial imaging
Benedict Hallgrimsson (Canada)
Machine learning for cephalogram mapping and CT artifact reduction
Soh Nishimoto (Japan)
Neural networks trained for synostosis and microtia, diagnosis & outcomes
Alex Kane (United States)
AI & data-sharing to rank severity of metopic synostosis – Yes or no to surgery
Jesse Goldstein (United States)
Identification of cleft anthropometry to facilitate AR/VR training
Ross Sayadi (United States)
Face Value – machine learning for improved surgical outcomes
Owase Jeelani (United Kingdom)
Automated virtual planning using AI and statistical shape models
Marc Metzger (Germany)
AI to reduce Cleft Burden of Care
Andreas Mueller (Switzerland)