Su‐In Lee

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

2018 · 1.932 Zit. · Nature Biomedical Engineering

AI for radiographic COVID-19 detection selects shortcuts over signal

2021 · 448 Zit. · Nature Machine Intelligence

AI for radiographic COVID-19 detection selects shortcuts over signal

2020 · 139 Zit. · medRxiv

Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery

2017 · 35 Zit. · bioRxiv (Cold Spring Harbor Laboratory)

Transparency of medical artificial intelligence systems

2025 · 13 Zit. · Nature Reviews Bioengineering

The clinical potential of counterfactual AI models

2024 · 9 Zit. · The Lancet

Anesthesiologist-level forecasting of hypoxemia with only SpO2 data\n using deep learning

2017 · 5 Zit. · arXiv (Cornell University)

CoAI: Cost-Aware Artificial Intelligence for Health Care

2021 · 4 Zit. · medRxiv

Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning

2017 · 3 Zit. · arXiv (Cornell University)

An adversarial approach for the robust classification of pneumonia from chest radiographs

2020 · 3 Zit.

Course Corrections for Clinical AI

2021 · 1 Zit. · Kidney360