Children's Hospital Colorado

ChatGPT for assessment writing

Matthew Zuckerman, Ryan Flood, Rachael Tan et al.

2023 · 71 Zit.

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

Darlene King, Guransh Nanda, Joel Stoddard et al.

2023 · 59 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 · 41 Zit.

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

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

2021 · 39 Zit.

Data Science for Child Health

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

2019 · 30 Zit.

Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network

Andrew T. Hale, Jay Riva-Cambrin, John C. Wellons et al.

2021 · 24 Zit.

Use of a remote clinical decision support service for a multicenter trial to implement prediction rules for children with minor blunt head trauma

Howard Goldberg, Marilyn D. Paterno, Robert W. Grundmeier et al.

2015 · 24 Zit.

Pediatric and Congenital Cardiovascular Disease Research Challenges and Opportunities

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

2022 · 21 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 · 12 Zit.

Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert

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

2025 · 8 Zit.

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

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

2024 · 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 1: review of the current state of the art

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

2025 · 4 Zit.

Can artificial intelligence develop high‐quality simulated pediatric dental cases?

Shahbaz Katebzadeh, Phuong T. Nguyen, Chaitanya P. Puranik

2024 · 2 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 · 2 Zit.