Rhode Island Hospital

The RSNA Pediatric Bone Age Machine Learning Challenge

Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.

2018 · 440 Zit.

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

Harrison X. Bai, Robin Wang, Zeng Xiong et al.

2020 · 399 Zit.

Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank

Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.

2023 · 305 Zit.

Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations

Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.

2023 · 197 Zit.

Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19

Maria Tsikala Vafea, Eleftheria Atalla, Joanna Georgakas et al.

2020 · 155 Zit.

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

Zhicheng Jiao, Ji Whae Choi, Kasey Halsey et al.

2021 · 122 Zit.

Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography

Michael H. Bernstein, Michael K. Atalay, Elizabeth H. Dibble et al.

2023 · 111 Zit.

Voice Recognition Dictation: Radiologist as Transcriptionist

John A. Pezzullo, Glenn A. Tung, Jeffrey M. Rogg et al.

2007 · 97 Zit.

Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators

Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.

2023 · 72 Zit.

Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge

Ian Pan, Hans Henrik Thodberg, Safwan S. Halabi et al.

2019 · 55 Zit.

COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data

Jianhong Cheng, John Sollee, Celina Hsieh et al.

2022 · 40 Zit.

Use of Large Language Models to Predict Neuroimaging

Lleayem Nazario-Johnson, Hossam A. Zaki, Glenn A. Tung

2023 · 40 Zit.

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data

Chris K. Kim, Ji Whae Choi, Zhicheng Jiao et al.

2022 · 34 Zit.

A transfer learning approach for automatic segmentation of the surgically treated anterior cruciate ligament

Sean W. Flannery, Ata M. Kiapour, David J. Edgar et al.

2021 · 26 Zit.

Collaborative large language models for automated data extraction in living systematic reviews

Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi et al.

2025 · 23 Zit.