AIMED Surgery 2020 Registration
What to expect?
This series focuses on best practice for the implementation of AI in clinical subspecialties.
- Find out how you can get started in healthcare AI from AIMed founder Dr Anthony Chang
- Understand how to respond to the prevailing challenges around data, including integration and harmonization of different datasets, heterogeneity, and challenges around data privacy and security
- Participate in a real time session which will bring together clinicians and data scientists to tackle a live challenge
- Learn from real examples of machine and deep learning in surgery, as well as NLP processing in surgical workflow
- Address some of the key ethical questions around AI in surgery, including data governance and liability, regulatory compliance, and explainability
- Gain CME credits
Who should attend?
The American College of Surgeons recognises 14 surgical specialties
- Cardiothoracic surgery, Colon and Rectal surgery
- General surgery, Gynecology and Obstetrics
- Gynecologic Oncology, Neurological surgery
- Ophthalmic surgery, Oral and Maxillofacial surgery
- Orthopaedic surgery, Otorhinolaryngology
- Pediatric surgery, Plastic surgery
- Urology, and Vascular surgery
- Anaesthetists, including consultants, registrars, junior doctors, etc.
- Researchers in surgery and data science (e.g. machine learning, deep learning, natural language processing, artificial intelligence, etc.)
“Thanks Alexis! Had a great time and appreciate the kind words! It was great and your whole crew were absolute professionals! If I hadn’t needed to jump between talks I would have enjoyed the chance to listen in more but as it was I had a great time! Thanks again, my best to Anthony as well for hosting.”
Dr. Matthew Lungren Co-Director, Stanford Center for Artificial
Intelligence in Medicine and Imaging
Surgery 2020 Tickets
After our last Clinician Series event we asked our attendees what they thought was a fair price for CME accredited meetings like these. We learned that 25% said no cost, 27% said $49, 36% $100 and 12% said over $200.
These meetings cost us a substantial amount of money to arrange, produce and get accredited but we’re committed to bringing you education during these difficult times. As such, with no judgement from us, you are able to pay what you feel is fair.
Select a registrant type:
ONSITE PROGRAM BOOKS / HANDOUTS
This activity is jointly provided by SynAptiv and AIMed.
This activity has been designed to meet the educational needs of Surgeons.
Goal/Purpose of Activity
The second annual AIMed Surgery event will bring together clinicians and data scientists with an interest in artificial intelligence in medicine for a virtual meeting. Built around four core modules, the agenda will address data issues in surgery for artificial intelligence; natural language processing in surgery workflow; machine and deep learning in medical imaging; and essential issues in AI in surgery.
After completing this activity, the participant should be better able to:
- Discuss the different types of healthcare data, their limitations, and challenges around data privacy and security
- Explain machine and deep learning in surgery
- Describe the key ethical questions around artificial intelligence in healthcare
Faculty / Content Developers
Professor Shafi Ahmed PhD, FRCS, FRCS (Gen. Surg), Consultant General, Laparoscopic and Colorectal Surgeon, Associate Dean, Barts and the London Medical School, Honorary Professor, University of Bradford, Member of Council, Royal College of Surgeons of England
Daniel Hashimoto, MD MS, Associate Director of Research, Surgical AI and Innovation Laboratory, Massachusetts General Hospital
Piyush Mathur MD, FCCM, Staff Anesthesiologist and Critical Care Physician, Cleveland Clinic
Tom Lawry, National Director for Artificial Intelligence – Health and Life Sciences, Microsoft
Victor F. Garcia, MD, Founding Director, Trauma Services, Professor of Surgery and Pediatrics, School of Medicine, University of Cincinnati, Co-Director, Chest Wall Center
Prakash Gatta MBBS FACS, Esophageal Surgeon, MultiCare Health System
Dr Gretchen Jackson, Vice President and Chief Science Officer, IBM Watson Health
Brian T. Bucher, MD, Pediatric Surgeon, Division of Pediatric General Surgery, Assistant Professor of Surgery, University of Utah School of Medicine
Todd Ponsky, M.D., FACS, Professor of Surgery, Director of Clinical Growth and Transformation, Cincinnati Children’s Hospital, University of Cincinnati
Dr Ghaith Habboub, Neurosurgery Resident, Cleveland Clinic
Physician Accreditation Statement
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of SynAptiv and AIMed. SynAptiv is accredited by the ACCME to provide continuing medical education for physicians.
SynAptiv designates this virtual event; enduring material; for a maximum of 3.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
SynAptiv ensures balance, independence, objectivity, and scientific rigor in all our educational activities. In accordance with this policy, SynAptiv identifies conflicts of interest with its instructors, planners, content managers, and other individuals who are in a position to control the content of an activity.
The following faculty, planner and/or content manager reported the following financial relationship with commercial interests whose products or services may be mentioned in this CE activity:
All faculty, planner and/or content managers have nothing to disclose nor do they have any vested interests or affiliations. All conflicts of interest have been resolved.
The content, views and opinions presented in this educational activity are those of the faculty/authors and do not necessarily reflect those of SynAptiv and AIMed. The faculty/authors have disclosed if there is any discussion of published and/or investigational uses of agents that are not indicated by the FDA in their presentations. Before prescribing any medicine, primary references and full prescribing information should be consulted. Any procedures, medications, or other courses of diagnosis or treatment discussed or suggested in this activity should not be used by clinicians without evaluation of their patient’s conditions and possible contraindications on dangers in use, review of any applicable manufacturer’s product information, and comparison with recommendations of other authorities. The information presented in this activity is not meant to serve as a guideline for patient management.