Intermountain Healthcare

The impact of nuance DAX ambient listening AI documentation: a cohort study

Tyler H. Haberle, Courtney Cleveland, Gregory L. Snow et al.

2024 · 135 Zit.

Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

Ashlee Davis, Kristen Billick, Kenneth Horton et al.

2020 · 94 Zit.

Natural Language Processing to identify pneumonia from radiology reports

Sascha Dublin, Eric Baldwin, Rod Walker et al.

2013 · 66 Zit.

Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods

Gang Luo, Bryan L. Stone, Michael D. Johnson et al.

2017 · 49 Zit.

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation

Jeffrey P. Ferraro, Hal Daumé, Scott L. DuVall et al.

2013 · 44 Zit.

A comparative evaluation of ChatGPT 3.5 and ChatGPT 4 in responses to selected genetics questions

Scott McGrath, Beth A. Kozel, Sara Gracefo et al.

2024 · 35 Zit.

Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians’ assistants in Kansas: a cross-sectional survey

Tanner Dean, Rajeev Seecheran, Robert G. Badgett et al.

2024 · 24 Zit.

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley et al.

2023 · 22 Zit.

Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis

Gang Luo, Michael D. Johnson, Flory L. Nkoy et al.

2020 · 22 Zit.

CheXED

Jeremy Irvin, Anuj Pareek, Jin Long et al.

2021 · 14 Zit.

Evaluating ChatGPT as an Agent for Providing Genetic Education

Nephi Walton, Sara Gracefo, Nykole Sutherland et al.

2023 · 12 Zit.

Improving Health Care with Advanced Analytics: Practical Considerations

José Benuzillo, Lucy A. Savitz, Scott Evans

2019 · 6 Zit.

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

Jingzhi Yu, Jennifer A. Pacheco, Anika S Ghosh et al.

2022 · 5 Zit.

Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer

Siqi Hu, Chun-Pin E. Chang, John Snyder et al.

2023 · 5 Zit.

Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting

Emily Kroshus, Daniel Leeds, Thomas W. McAllister et al.

2024 · 4 Zit.