Children's Hospital of Los Angeles

Applying Machine Learning to Pediatric Critical Care Data*

Jon Williams, D. Ghosh, Randall C. Wetzel

2018 · 50 Zit.

Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Melinda Y. Chang, Gena Heidary, Shannon Beres et al.

2024 · 23 Zit.

Machine Learning Comes to Nephrology

Kevin V. Lemley

2019 · 20 Zit.

An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics

Brandon S. Aylward, Halim Abbas, Sharief Taraman et al.

2022 · 16 Zit.

Building the foundation for a community-generated national research blueprint for inherited bleeding disorders: facilitating research through infrastructure, workforce, resources and funding

Margaret V. Ragni, Guy Young, Glaivy Batsuli et al.

2023 · 12 Zit.

<title>Fault-tolerant back-up archive using an ASP model for disaster recovery</title>

Brent J. Liu, Huaibo Huang, Fei Cao et al.

2002 · 10 Zit.

Expanding Accessibility in Cleft Care: The Role of Artificial Intelligence in Improving Literacy of Alveolar Bone Grafting Information

Artur Manasyan, Sasha Lasky, Marah Jolibois et al.

2024 · 9 Zit.

Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent

Aaron E. Kornblith, Chandan Singh, Johanna C. Innes et al.

2025 · 7 Zit.

Artificial Intelligence: An Inkling of Caution*

Randall C. Wetzel, Melissa Aczon, David Ledbetter

2018 · 6 Zit.

Clinical experiences with an ASP model backup archive for PACS images

Brent J. Liu, Fei Cao, Luis Documet et al.

2003 · 5 Zit.

The effects of rudeness, experience, and perspective-taking on challenging premature closure after pediatric ICU physicians receive hand-off with the wrong diagnosis: a randomized controlled simulation trial

Michael Avesar, Amir Erez, Jenna Essakow et al.

2020 · 4 Zit.

Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography

S J Pawan, Joseph M. Rich, Shreyas Malewar et al.

2025 · 4 Zit.

The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative

Adree Khondker, Ihtisham Ahmad, Rahim Dhalla et al.

2025 · 3 Zit.

Artificial Intelligence in Anesthesiology: Comment

K. Elliott Higgins, Laleh Jalilian, Theodora Wingert et al.

2025 · 2 Zit.

Quality and Readability of Patient Educational Materials Generated by ChatGPT-4o for Pediatric Ophthalmologic Surgeries

Albert C. Yang, Mark W. Reid, Angeline Nguyen et al.

2025 · 2 Zit.