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Predictive AI models for surgery & anesthesia

Explore the model experience now.
Search for a procedure or choose an example.
Evaluation preview · Model performance and availability are pending final locked-cohort analysis and partner authorization. Not for clinical use.
MODEL CATALOG

20+ outcomes predicted.
One API.

Training and validation on de-identified 1.3M+ surgical case cohort — full metrics shared under NDA and in forthcoming peer-reviewed publications.

↳ 1. Calibrated 0–100 Global Procedure Risk Score Prediction

20+ OUTCOMES · ENSEMBLE

One calibrated score combining patient and procedure risk.
Output: 0–100 score, risk tier and drivers
AUROC range: 0.90–0.96
Risk Score  65/100
MINS → High Risk
Cursor icon showing a hand pointer
AKI → Low Risk
Pain → Low Risk
Transfusion → Low Risk

↳ 2. Number of RBC Required Prediction

RBC UTILIZATION · REGRESSION

Predicts expected red blood cell requirements per procedure.
Output: predicted RBC units per procedure
Model Type: LGBM
MAE: 0.43 units

↳ 3. ASC Eligibility Prediction

SITE OF CARE · CLASSIFICATION

Predicts whether a case is suitable for ambulatory evaluation or requires additional review.
Output: ASC candidate, review or inpatient
Model Type: LGBM
AUROC range: 0.90–0.96

↳ 4. Length of Stay (total & ICU) & OR time Prediction

RESOURCE UTILIZATION · REGRESSION

Predicts total postoperative hospital and ICU days.
Output: expected hospital and ICU stay
Model Type: LGBM Tweedie
MAE LoS Time: 0.3—0.5 days
MAE ICU Time: 0.3—0.5 days

↳ 5. Postoperative VTE Prediction

COMPLICATION RISK · CLASSIFICATION

Predicts venous thromboembolism following surgery.
Output: probability, risk tier and drivers
Model Type: LGBM
AUROC: 0.89

↳ Additional Outcome Models

15+ ADDITIONAL PREDICTIONS

Pain, AKI, sepsis, pneumonia, readmission, ICU admission and other surgical complications.
OUR UPCOMING PUBLICATIONS

AI models trained on 1.3 M+ procedures —manuscripts now in preparation.

Model development and analysis are complete.
Final manuscript details are being prepared ahead of submission.
AI-Enabled Preoperative Chart Review for Surgical Complications Prediction with 1.3M procedures
PRE-SUBMISSION
AUTOMATIC CHART REVIEW
AI-Enabled Preoperative Triage for ASC Eligibility  Prediction
PRE-SUBMISSION
ASC ELIGIBILITY
Machine Learning Model to Predict Red Blood Cell Transfusion Volume trained on 1.3M procedures
PRE-SUBMISSION
TRANSFUSION RISK
Preoperative Prediction of Postoperative Hospital & ICU Length of Stay
PRE-SUBMISSION
LENGTH OF STAY PREDICTION
LLM driven M&M review: Cause, Mechanism, and Preventability in 8,212 Deaths
PRE-SUBMISSION
M&M REVIEW
Machine Learning Model to Predict VTE after Surgery and Guide Thromboprophylaxis Trained on 1.3M Procedures
PRE-SUBMISSION
VTE RISK
Machine Learning Model to Predict High Pain Level after Surgery
PRE-SUBMISSION
PAIN RISK
THEY TRUST US

Built with the world's
top teams

FIRST-CLASS EVALUATION

200+ risk factors screened in minutes

"First-class evaluation", Dr. Richard Boyer, MD, PhD
Anesthesiologist and Cofounder @Hoopcare
Transfusion risk
Identify anemia early and reduce avoidable transfusions.
Cardiac risk
Detect heart conditions before surgery and guide optimization.
Chronic pain risk
Flag risk factors and plan better pain management.
Infection risk
Spot infection risks and support prevention before surgery.
Respiratory risk
Identify COPD, asthma, and smoking-related risks from day one.
+ More
Learn more
Why it works

Screen and optimize for all procedures

Lung tumor
Pancreatic surgery
Heart valve procedures
Hip replacement
Hysterectomy
CABG
Gastric Sleeve
Bunion
Colectomy
Breast cancer surgery
Breast cancer surgery
Cardiac surgery
Plastic surgery
BBL
Shoulder replacement
Brain tumor
Knee replacement
Vascular procedures
Colonoscopy
Cataract surgery
Hernia
C-section
Breast cancer surgery
HOW it works

AI models adapted to your needs

For Hospitals & ASCs
Explore our options for hospitals & ASCs looking to improve their preoperative process.
For Hospitals & ASCs →
For Payors
Hoopcare is the first system that can enforce your medical policy before authorization.
For Payors →
For Industry & OR Tech
License Hoopcare's validated risk models and ship clinical prediction inside your own product.
For Industry & OR Tech →

We handle the hurdles of bringing AI into hospitals & ASCs

From security review to go-live, our team has done this inside health systems before — so yours doesn't have to learn it the hard way.
Forward-deployed engineers
Our engineers work inside your walls, alongside your Epic and IT teams — integration is our job, not another project on your backlog.
HIPAA & BAA covered
BAA signed, HIPAA-compliant by design, and deployable in your own cloud tenant — your compliance team gets answers, not surprises.
Clinical validation with your team
Before go-live, we validate model performance on your own patient population, with your anesthesiologists and surgeons in the loop.
Live in weeks, not quarters
SMART on FHIR integration, deployment, and validation in four to six weeks — a defined path from signature to first scored patient.

A tailored solution for all the ecosystem

Hoopcare’s AI models built specificly for the periopoerative space.

Contact us

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THEY TRUST US
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contact process

Your work deserves a better framework

Your work deserves more than just execution—we turn complexity into a clear framework.
01
Intro Call
A 30-minute conversation to understand your challenge.
02
Proposal & fit
Clear next steps, scope, and expected outcomes — no jargon.
03
Start working
Direct collaboration with senior consultants from Day One.