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AI in Surgical Technology & Augmentation Research

Augmentingthe surgeon.Advancing the science.

A-STAR develops surgical AI systems for planning, intraoperative guidance, patient education, and rigorous outcomes validation across the full surgical journey.

Our mission

A-STAR develops clinically grounded surgical AI that connects data, operative expertise, and validation.

Our focus is not only building models, but understanding where intelligent systems can safely improve surgical planning, performance, education, and outcomes.

Projects

From clinical questions to validated systems.

Each A-STAR project begins with a surgical problem, then moves through data curation, model development, validation, and translational planning. The portfolio highlights focused examples of how AI can support safer surgery, better education, and more measurable outcomes.

Status · validation

01 / Risk Stratification & Planning04 / Outcomes & Validation

MOSI

Metabolic & Obesity Staging Index

A staging algorithm and clinical audit platform for bariatric surgery, validated on 3,097 patients. MOSI scores patients across BMI, comorbidities, and severity to recommend procedures and target weight-loss tiers.

Status · deployed

03 / Patient Journey & Education

SIRIS

Surgical-IRIS Education

SIRIS helps patients ask specialty-focused education questions, review Mayo Clinic resources, and prepare questions for their care team — bridging the information gap between booking and operation.

Status · validation

02 / Intraoperative Intelligence

GoNoGoNet

AI-guided Go/No-Go surgical safety zone detection

Computer vision model for identifying surgical dissection safety zones and supporting intraoperative decision-making.

GoNoGoNet surgical computer vision demo
GoNoGoNet: Go/No-Go safety zone detection in laparoscopic cholecystectomy

Upcoming events

Journal Clubhybrid

Second A-STAR Journal Club

The second A-STAR Journal Club is scheduled for June 8, 2026.

Mayo Clinic, Rochester, MN and virtualJune 8, 2026
Coursein-person

ACS Artificial Intelligence in Surgery Course

Dr. Simon J. Laplante is expected to contribute to an ACS Clinical Congress educational session on artificial intelligence in surgery.

Washington, DCSeptember 26-29, 2026
Learn more

Collaborating institutions

Mayo Clinic — Metabolic, Abdominal Wall & Reconstructive SurgerySurgical AI² LabSurgical Artificial Intelligence Research Academy (SARA)

Get involved

Ready to build surgical AI with A-STAR?

Bring a clinical question, dataset, or educational idea. We help shape it into a surgical AI project, validation pathway, or collaboration.

Clinical question

Translate a surgical safety, planning, or outcomes question into a scoped AI study.

Dataset / video / imaging

Shape governed data into a model, validation plan, or multi-site collaboration.

Education or Journal Club

Bring trainees, readings, demos, and surgical AI discussion into one forum.