Adrienne Kline

The Emerging and Important Role of Artificial Intelligence in Cardiac Surgery

2024 · 10 Zit. · Canadian Journal of Cardiology

Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach

2020 · 10 Zit. · Journal of Medical Internet Research

Multimodal Machine Learning in Precision Health

2022 · 3 Zit. · arXiv (Cornell University)

Artificial intelligence and machine learning in cardiothoracic surgery: Future prospects and ethical issues

2025 · 3 Zit. · Journal of Thoracic and Cardiovascular Surgery

Artificial Intelligence in the Management of Heart Failure

2025 · 3 Zit. · Journal of Cardiac Failure

Medical Image Deidentification, Cleaning and Compression Using Pylogik

2023 · 1 Zit. · arXiv (Cornell University)

Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices

2020 · 1 Zit.

Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach (Preprint)

2020 · 0 Zit.

Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning

2023 · 0 Zit. · arXiv (Cornell University)

Ethical perspectives on deployment of large language model agents in biomedicine: a survey

2025 · 0 Zit. · AI and Ethics