Children's Hospital Colorado

ChatGPT for assessment writing

Matthew Zuckerman, Ryan Flood, Rachael Tan et al.

2023 · 78 Zit.

A clinician survey of using speech recognition for clinical documentation in the electronic health record

Foster Goss, Suzanne V. Blackley, Carlos A. Ortega et al.

2019 · 68 Zit.

An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance

Darlene King, Guransh Nanda, Joel Stoddard et al.

2023 · 60 Zit.

Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study

Yao Tong, Amanda I. Messinger, Adam Wilcox et al.

2021 · 46 Zit.

Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement

Aaron J. Masino, T. Charles Casper, Jonathan Dean et al.

2016 · 42 Zit.

The importance of trustworthiness: lessons from the COVID-19 pandemic

Mary B. Leonard, DeWayne M. Pursley, Lisa A. Robinson et al.

2021 · 41 Zit.

Data Science for Child Health

Tellen D. Bennett, Tiffany J. Callahan, James A. Feinstein et al.

2019 · 30 Zit.

Pediatric and Congenital Cardiovascular Disease Research Challenges and Opportunities

Alexander R. Opotowsky, Kiona Y. Allen, Emily M. Bucholz et al.

2022 · 22 Zit.

The critical need for expert oversight of ChatGPT: Prompt engineering for safeguarding child healthcare information

Calissa J. Leslie‐Miller, Stacey L. Simon, Kelsey Dean et al.

2024 · 15 Zit.

Evaluating large language model performance to support the diagnosis and management of patients with primary immune disorders

Nicholas L. Rider, Yingya Li, Aaron Chin et al.

2025 · 12 Zit.

Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role

Sorabh Singhal, Danielle Cooke, Ricardo I Villareal et al.

2024 · 8 Zit.

Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert

Moira E. Smith, C. Christopher Zalesky, Sangil Lee et al.

2025 · 8 Zit.

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art

Benjamin H. Kann, Arastoo Vossough, Sarah C. Brüningk et al.

2025 · 6 Zit.

The Iterative Design Process of an Explainable AI Application for Non-Invasive Diagnosis of CNS Tumors: A User-Centered Approach

Eric Prince, Todd C. Hankinson, Carsten Görg

2023 · 5 Zit.

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation

Anahita Fathi Kazerooni, Ariana Familiar, Mariam Aboian et al.

2025 · 4 Zit.