Stony Brook University Hospital

COVID-19 Image Data Collection: Prospective Predictions are the Future

Joseph Cohen, Paul Morrison, Lan Dao et al.

2020 · 118 Zit.

SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)

Jennifer A. Eckhoff, Guy Rosman, Maria S. Altieri et al.

2023 · 34 Zit.

Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning

David Payne, Kush Purohit, Walter Morales Borrero et al.

2024 · 31 Zit.

Rogue AI: Cautionary Cases in Neuroradiology and What We Can Learn From Them

Austin Young, Kevin Tan, Faiq Tariq et al.

2024 · 4 Zit.

Enhancing Access to Orthopedic Education: Exploring the Potential of Generative Artificial Intelligence (AI) in Improving Health Literacy on Rotator Cuff Injuries

Michael Miskiewicz, Matthew Perez, Salvatore Capotosto et al.

2024 · 3 Zit.

The utility of generative artificial intelligence Chatbot (ChatGPT) in generating teaching and learning material for anesthesiology residents

Zhaosheng Jin, Ramon Abola, Vincent Bargnes et al.

2025 · 3 Zit.

Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics

Farrukh M. Koraishy, Sandeep K. Mallipattu

2023 · 2 Zit.

Performance of GPT-4 on the American College of Radiology In-Service Examination

David Payne, Kush Purohit, Walter Morales Borrero et al.

2024 · 2 Zit.

A Hands-Free Approach With Voice to Text and Generative Artificial Intelligence: Streamlining Radiology Reporting

Austin Young, Katherine Wang, Michael Jin et al.

2024 · 1 Zit.

Performance Comparison of Cutting-Edge Large Language Models on the ACR In-Training Examination: An Update for 2025

Austin Young, Rinald Paloka, Ariba Islam et al.

2025 · 1 Zit.

Archiving Pakistan Society of Nephrology Research Taskforce (2022-2024) 18 month initiatives to advance clinical research within Pakistan

Khaja Quadri, Waqar Kazmi, Beena Salman et al.

2024 · 0 Zit.

Correction to: Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs

Andrea Bejar, Maria Jaramillo Gonzalez, Ziliang Hong et al.

2026 · 0 Zit.

Artificial Intelligence documentation in trauma resuscitation: efficiency requires guardrails

Samita M. Heslin

2026 · 0 Zit.

Machine Learning Models Used to Predict Abdominal Aortic Aneurysm Growth and Rupture: A Systematic Review and Critical Appraisal

Ahmad Aljobeh, Praveen Parthasarathy, Jonathan Liao et al.

2026 · 0 Zit.

1257: EARLY IDENTIFICATION OF SEVERE SEPSIS IN PEDIATRIC PATIENTS UTILIZING AN ELECTRONIC ALERT

Uchechi Oddiri, Grace Propper, Patricia A. Brill et al.

2021 · 0 Zit.