Hospital of the University of Pennsylvania

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 · 400 Zit.

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*

H.M. Giannini, Jennifer C. Ginestra, Corey Chivers et al.

2019 · 258 Zit.

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

Andreas M. Rauschecker, Jeffrey D. Rudie, Long Xie et al.

2020 · 146 Zit.

Deep Learning for Classification of Bone Lesions on Routine MRI

Feyisope Eweje, Bingting Bao, Jing Wu et al.

2021 · 117 Zit.

Deep learning-based classification of primary bone tumors on radiographs: A preliminary study

Yu He, Ian Pan, Bingting Bao et al.

2020 · 112 Zit.

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports

Po‐Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg et al.

2017 · 102 Zit.

Can Artificial Intelligence Improve the Readability of Patient Education Materials on Aortic Stenosis? A Pilot Study

Armaun D. Rouhi, Yazid K. Ghanem, Laman Yolchieva et al.

2024 · 101 Zit.

Trustworthy Artificial Intelligence in Medical Imaging

Navid Hasani, Michael Morris, Arman Rahmim et al.

2021 · 84 Zit.

Readability of radiology reports: implications for patient-centered care

Teresa Martin-Carreras, Tessa S. Cook, Charles E. Kahn

2018 · 77 Zit.

Data Science: Big Data, Machine Learning, and Artificial Intelligence

Ruth C. Carlos, Charles E. Kahn, Safwan S. Halabi

2018 · 72 Zit.

Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing

Jason P. Lott, Denise M. Boudreau, Ray L. Barnhill et al.

2017 · 71 Zit.

The Impact of Health Care Algorithms on Racial and Ethnic Disparities

Shazia Mehmood Siddique, Kelley Tipton, Brian F Leas et al.

2024 · 65 Zit.

Medical digital twins: enabling precision medicine and medical artificial intelligence

Christoph Sadée, Stefano Testa, Thomas Barba et al.

2025 · 65 Zit.

Automated Detection of Critical Results in Radiology Reports

Paras Lakhani, Woojin Kim, Curtis P. Langlotz

2011 · 57 Zit.

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification

Robert Lou, Darco Lalevic, Charles Chambers et al.

2019 · 55 Zit.