Thomas Kannampallil

Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders

2022 · 42 Zit. · Anesthesiology

The foundational capabilities of large language models in predicting postoperative risks using clinical notes

2025 · 21 Zit. · npj Digital Medicine

Cognitive plausibility in voice-based AI health counselors

2020 · 16 Zit. · npj Digital Medicine

Perioperative Predictions with Interpretable Latent Representation

2022 · 7 Zit. · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Self-explaining neural network with concept-based explanations for ICU mortality prediction

2022 · 7 Zit.

A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients

2024 · 5 Zit. · Journal of the American Medical Informatics Association

New JBI policy emphasizes clinically-meaningful novel machine learning methods

2022 · 5 Zit. · Journal of Biomedical Informatics

Personalized Surgical Transfusion Risk Prediction: Reply

2022 · 4 Zit. · Anesthesiology

Effect of Machine Learning on Anaesthesiology Clinician Prediction of Postoperative Complications: The Perioperative ORACLE Randomised Clinical Trial

2024 · 1 Zit.

Reimagining clinical AI: from clickstreams to clinical insights with EHR use metadata

2025 · 1 Zit. · npj Health Systems

Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports

2025 · 0 Zit. · Radiology

Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks

2021 · 0 Zit. · arXiv (Cornell University)

The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes

2024 · 0 Zit. · arXiv (Cornell University)