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A-STAR
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A-STAR

Augmenting the surgeon. Advancing the science.

AI in Surgical Technology & Augmentation Research develops surgical AI systems for planning, guidance, education, and validation.

Our mission

A-STAR advances artificial intelligence across the full surgical journey — from risk stratification through patient education and rigorous validation.

Peer-reviewed work
IRB-approved studies
Surgical video AI
External validation
Clinical translation

By the numbers

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Team members

Current A-STAR people and collaborators

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Active projects

MOSI and SIRIS

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Publications

Research outputs in the publication index

Research & projects

Intelligence across the surgical journey.

A-STAR maps AI research to the four phases of surgical care — each phase grounded in clinical problems that matter to surgeons and patients.

01Risk Stratificat…02Intra-operative …03Patient Journey …04Outcomes & Valid…

Phase 01 / Risk Stratification & Planning

Risk Stratification & Planning

Pre-operative risk assessment, candidate identification, and surgical decision support driven by validated algorithms.

Projects in this phase

MOSI

Metabolic & Obesity Staging Index

Decision support and prospective validation for bariatric surgery.

Open project

SIRIS

Surgical-IRIS Education

AI-powered surgical patient education built on Mayo Clinic's IRIS platform.

Open project

The team

The people behind A-STAR.

A clinical and technical team translating surgical AI from research questions into validated tools.

Upcoming events

MAY27
Journal Clubhybrid

A-STAR Lab Journal Club

During this session, participants will discuss recent advances in artificial intelligence in surgery and brainstorm new ideas for future research and innovation. This event is limited to Mayo Clinic employees.

Mayo Clinic, Rochester, MN — and virtualMay 27, 2026
RSVP
JUN4
Conferencein-person

A-STAR Lab Abstract Accepted for the 2026 AI Research Summit

An abstract presentation by Dr. Reza Shahriarirad, titled 'Biological Age Reversal Following Bariatric Surgery: A Longitudinal Cohort Study Using AI-Derived ECG Age,' has been accepted for poster presentation at the 2026 AI Research Summit. This work highlights the A-STAR Lab's continued efforts to apply AI to clinically meaningful questions in bariatric surgery, including the use of AI-derived biomarkers to better understand physiologic changes following surgical weight loss.

Mayo Civic Center, Rochester, MNJun 4–2026 (day: 5) · All day

From the lab

Collaborating institutions

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

Get involved

The surgical AI frontier needs more builders.

We're hiring · AI Engineer / Research Fellow in Surgical AI

Join the lab

We recruit exceptional fellows, engineers, and visiting scholars.

Collaborate

Clinical partnerships, industry collaboration, and multi-site research.

Read our research

Browse publications, preprints, and technical reports from A-STAR.