Hyung‐Chul Lee

Multi-center validation of machine learning model for preoperative prediction of postoperative mortality

2022 · 48 Zit. · npj Digital Medicine

Artificial intelligence in perioperative medicine: a narrative review

2022 · 47 Zit. · Korean journal of anesthesiology

INSPIRE, a publicly available research dataset for perioperative medicine

2024 · 41 Zit. · Scientific Data

Open datasets in perioperative medicine: a narrative review

2023 · 13 Zit. · Anesthesia and Pain Medicine

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

2022 · 12 Zit. · Journal of Digital Imaging

Multicentre validation of a machine learning model for predicting respiratory failure after noncardiac surgery

2024 · 9 Zit. · British Journal of Anaesthesia

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

2024 · 7 Zit. · Journal of Medical Internet Research

Predicting optimal endotracheal tube size and depth in pediatric patients using demographic data and machine learning techniques

2023 · 6 Zit. · Korean journal of anesthesiology

Anesthesia research in the artificial intelligence era

2018 · 2 Zit. · Anesthesia and Pain Medicine

EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports

2025 · 0 Zit. · ArXiv.org

A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist

2025 · 0 Zit. · arXiv (Cornell University)

Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study

2021 · 0 Zit. · arXiv (Cornell University)

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study (Preprint)

2024 · 0 Zit.