Optimizing One-year Graft Survival Prediction Post-transplant With Machine Learning Techniques.
InformAI News
Accurate Prediction of Liver Waitlist Mortality and 1-Year Post-Transplant Survival with Machine Learning
InformAI Gives TED-Style Talk At National Transplant Meeting
InformAI's TransplantAI Featured As a V7 Case Study
The Utility of Machine Learning for Predicting Donor Discard in Abdominal Transplantation.
nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images.
InformAI Presents NSF-Awarded Work at Nvidia GTC 2022 Conference
InformAI Organ Segmentation Manuscript Published in Annals of Surgery Open
Deep Learning-Based Automatic Liver Volume Estimation and Segmentation via U-Net Convolutional Neural Network.
Incorporating Machine Learning Models into Clinical Practice for Superior 1- and 3-Year Post-Transplant Survival Predictions
InformAI Awarded Prestigious National Science Foundation Grant
New artificial intelligence models show potential for predicting outcomes in trauma and liver transp
Using Artificial Intelligence to Improve Post Transplant Survival Predictions
Machine Learning Methods for Post-Transplant Survival Predictions
Developing Artificial Intelligence and Deep Machine Learning to Predict Outcome Indicators for Liver Transplant Recipients
Machine Learning Model Outperforms Regression Models For 1- And 3-Year Post-Transplant Survival: Is This the Future?
Machine Learning Models Improve Post-Transplant Survival Predictions
Baylor College of Medicine and InformAI Use AI To Improve Liver Transplant Outcomes