Our Models

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MySurgeryRisk Models

Annals of surgery

MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery

ADAPT

Jama network open

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform

Female doctor analyses results of ultrasound scan of human heart

Apricot-M Models

Nature communications

Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling

Double exposure microscope Young woman scientific using equipment

MendAKI Models

Surgery

A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients

A stylized blue image of the kidneys

Scientific Reports

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis

The doctor is checking continuous renal replacement therapy equipment and injection pump and hemodialysis machine in a hospital setting.

DeLLiriuM Models

scientific reports

A large language model for delirium prediction in the intensive care unit using structured electronic health records

Medical technology concept. Electronic medical record. Digital healthcare and network connection on virtual screen interface, medical technology and futuristic concept.

DeepSOFA Models

scientific reports

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

ADAPT

Mango Models

arxiv preprint

MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes

I2CU