June 8, 2026
Use the Journal Club contact link to join the distribution list, attend the session, or propose a paper for discussion.
Lab calendar and updates
Journal Club, surgical AI talks, education, conference activity, and lab updates: all in one place.
Upcoming
Use the Journal Club contact link to join the distribution list, attend the session, or propose a paper for discussion.
ACS lists Clinical Congress 2026 for September 26-29 in Washington, DC. Final session metadata is still forthcoming.
Past
One poster evaluated improvement in biological age following bariatric surgery using AI-derived biomarkers. The presentations reflect A-STAR's broader work applying artificial intelligence to surgical outcomes, physiologic recovery, patient-centered questions, and responsible validation.


The session discussed video-language models with Abdulrahman Alomar, M.D. and synthetic data in surgery with Reza Shahriarirad, M.D.
Dr. Simon J. Laplante delivered invited education on quantum computing and intelligent surgical robotics, moderated innovation sessions, and the lab presented MOSI abstract work in bariatric surgery.
Dr. Laplante delivered a talk on the intersection of large-scale AI and next-generation robotics toward intelligent surgical robots.
Dr. Laplante delivered a talk on quantum computing and its potential role in solving complex surgical data challenges.
Dr. Laplante served as director/moderator for a session focused on AI, robotics, quantum computing, and the digital operating room.
The lecture covered basic AI concepts and their impact on clinical care, keeping this record categorized as a talk rather than a conference attendance item.
The meeting provided opportunities to engage with minimally invasive surgery leaders, explore surgical technology, and connect with colleagues advancing AI-enabled surgical care.
His visit reflected growing collaboration between Mayo Clinic and UHN Toronto around surgical AI research, education, and performance improvement.
The poster, titled "Development of a Computer Vision Deep Learning Model to Predict Optimal Surgical Management in Abdominal Wall Reconstruction," highlighted computer vision and deep learning work for surgical decision support.
Dr. Simon J. Laplante presented on the current landscape and future directions of computer vision-assisted surgery.
Dr. Laplante presented an introductory session on AI concepts and their impact on clinical care.
Dr. Laplante presented on the current landscape and future directions of computer vision-assisted surgery.
Dr. Laplante served as session chair for an expert discussion on how AI may improve intraoperative surgical decision-making over the next 30 years.
Dr. Laplante presented on applications of computer vision in abdominal wall hernia surgery.
Dr. Laplante served as panel discussion moderator for a session on the future of AI in improving surgical precision and decision-making.
Dr. Laplante presented an overview of AI technologies in surgical care, covering fundamentals and the current landscape.
Dr. Laplante delivered a separate SAGES talk in Nashville on the future of surgery and the use of AI for smarter, safer, and faster procedures. Exact session metadata should be confirmed.
Dr. Laplante discussed the use of validated GoNoGoNet to demonstrate potential clinical and educational applications of surgical computer vision in safer cholecystectomy.