VA Puget Sound Health Care System

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

Scott Lundberg, Bala G. Nair, Monica S. Vavilala et al.

2018 · 1.912 Zit.

Copying and pasting of examinations within the electronic medical record

Stephen Thielke, Kenric W. Hammond, Susan Helbig

2006 · 101 Zit.

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes

Hannu Huhdanpaa, Wang-Chiew Tan, Sean D. Rundell et al.

2017 · 43 Zit.

Using Predictive Analytics to Guide Patient Care and Research in a National Health System

Karin M. Nelson, Evelyn T. Chang, Donna M. Zulman et al.

2019 · 40 Zit.

Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery

Scott Lundberg, Bala G. Nair, Monica S. Vavilala et al.

2017 · 35 Zit.

Contemporary Clinical and Coronary Anatomic Risk Model for 30-Day Mortality After Percutaneous Coronary Intervention

Jacob A. Doll, Colin I. O’Donnell, Meg E. Plomondon et al.

2021 · 19 Zit.

Building Clinical Simulations With ChatGPT in Nursing Education

Jason A. Reid

2024 · 13 Zit.

Methodologic Guidance and Expectations for the Development and Reporting of Prediction Models and Causal Inference Studies

Michael O. Harhay, David H. Au, Sharon Dell et al.

2020 · 10 Zit.

Evaluation of machine learning models as decision aids for anesthesiologists

Mihir Velagapudi, Akira A. Nair, Wyndam Strodtbeck et al.

2022 · 7 Zit.

The potential utility of CHATGPT4.0 as an AI assistant in the education and management of patients with Barrett’s esophagus

Frances Dang, Joshua Kwon, Andy Lin et al.

2025 · 0 Zit.

Machine learning-based risk scores are associated with conversion to dementia in Veterans

Karl Brown, Andrew Shutes‐David, Katie Wilson et al.

2025 · 0 Zit.