Children's Hospital of Pittsburgh

Expert consensus on the metaverse in medicine

Dawei Yang, Jian Zhou, Rongchang Chen et al.

2022 · 235 Zit.

Artificial intelligence-based clinical decision support in pediatrics

Sriram Ramgopal, L. Nelson Sanchez‐Pinto, Christopher M. Horvat et al.

2022 · 154 Zit.

A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare

Amie J. Barda, Christopher M. Horvat, Harry Hochheiser

2020 · 98 Zit.

Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup

Marla B. K. Sammer, Yasmin S. Akbari, Richard A. Barth et al.

2023 · 64 Zit.

IMPROVE trial: A randomized controlled trial of patient-controlled analgesia for sickle cell painful episodes: rationale, design challenges, initial experience, and recommendations for future studies

Carlton Dampier, Wally R. Smith, Carrie Wager et al.

2013 · 59 Zit.

Artificial Intelligence and Objective Structured Clinical Examinations: Using ChatGPT to Revolutionize Clinical Skills Assessment in Medical Education

Sanghamitra M. Misra, Srinivasan Suresh

2024 · 46 Zit.

Novel Metrics in the Longitudinal Evaluation of Pain Data in Sickle Cell Disease

Nitya Bakshi, Meagan Smith, Diana Ross et al.

2016 · 27 Zit.

Pediatric and Congenital Cardiovascular Disease Research Challenges and Opportunities

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

2022 · 22 Zit.

Large Language Models in Pediatric Education: Current Uses and Future Potential

Srinivasan Suresh, Sanghamitra M. Misra

2024 · 19 Zit.

Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics

Hansa Bhargava, Carmela Salomon, Srinivasan Suresh et al.

2024 · 18 Zit.

Deep Learning System Boosts Radiologist Detection of Intracranial Hemorrhage

Roshan Warman, Anmol Warman, Pranav Warman et al.

2022 · 13 Zit.

Emergency Medicine Resident Interpretation of Pediatric Radiographs

J. Eric Brunswick, Kaveh Ilkhanipour, Susan Fuchs et al.

1996 · 12 Zit.

Interoperable and explainable machine learning models to predict morbidity and mortality in acute neurological injury in the pediatric intensive care unit: secondary analysis of the TOPICC study

Neil Munjal, Robert S. B. Clark, Dennis Simon et al.

2023 · 11 Zit.

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification

Jun Luo, Gene Kitamura, Dooman Arefan et al.

2021 · 11 Zit.

Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang et al.

2025 · 11 Zit.