Johns Hopkins All Children's Hospital

Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care

Hannah Lonsdale, Ali Jalali, Luis Ahumada et al.

2020 · 54 Zit.

Machine Learning Applied to Registry Data: Development of a Patient-Specific Prediction Model for Blood Transfusion Requirements During Craniofacial Surgery Using the Pediatric Craniofacial Perioperative Registry Dataset

Ali Jalali, Hannah Lonsdale, Lillian Zamora et al.

2020 · 44 Zit.

The Perioperative Human Digital Twin

Hannah Lonsdale, Geoffrey M. Gray, Luis M. Ahumada et al.

2022 · 42 Zit.

Artificial Intelligence in Anesthesiology: Hype, Hope, and Hurdles

Hannah Lonsdale, Ali Jalali, Jorge A. Gálvez et al.

2020 · 29 Zit.

ChatGPT: What Every Pediatric Surgeon Should Know About Its Potential Uses and Pitfalls

Raquel González, Dan Poenaru, Russell Woo et al.

2024 · 11 Zit.

Please Welcome the New Team Member: The Algorithm*

James C. Fackler, Mohamed Rehman, Raimond L. Winslow

2019 · 10 Zit.

Comparing ChatGPT and a Single Anesthesiologist’s Responses to Common Patient Questions: An Exploratory Cross-Sectional Survey of a Panel of Anesthesiologists

Frederick H. Kuo, Jamie L. Fierstein, Brant Tudor et al.

2024 · 6 Zit.

Why Clinical Trials Will Fail to Ensure Safe AI

David P. W. Rastall, Mohamed Rehman

2025 · 1 Zit.

Empathy in the era of artificial intelligence: Coexistence or competition?

Bryanna Stukes, Jacqueline K. Olive, Brandi Braud Scully

2025 · 0 Zit.

Ethical considerations and challenges in pediatric surgical artificial intelligence

Raquel González

2026 · 0 Zit.

RE-TRAINING IS INEFFECTIVE IN IMPROVING RELIABILITY OF TIBIAL SPINE MEASUREMENTS AND CLASSIFICATION

Henry B. Ellis, Aaron J. Zynda, Aristides I. Cruz et al.

2020 · 0 Zit.