Cleveland Foundation

Essential Elements of Natural Language Processing: What the Radiologist Should Know

Po‐Hao Chen

2019 · 56 Zit.

Accuracy of Online Artificial Intelligence Models in Primary Care Settings

Joseph Kassab, Abdel Hadi El Hajjar, Richard M. Wardrop et al.

2024 · 21 Zit.

Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data

Brian A. Xavier, Po‐Hao Chen

2022 · 19 Zit.

A Framework for Evaluating the Technical Performance of Multiparameter Quantitative Imaging Biomarkers (mp-QIBs)

Nancy A. Obuchowski, Erich P. Huang, Nandita M. deSouza et al.

2022 · 12 Zit.

Development and Operationalization of an Automated Workflow for Correlation of Knee MRI and Arthroscopy Findings

Faysal Altahawi, A. Owens, Christine H. Caruso et al.

2023 · 4 Zit.

A Pilot Remote Curriculum to Enhance Resident and Medical Student Understanding of Machine Learning in Healthcare

Seth M. Meade, Sebastian Salas-Vega, Matthew Nagy et al.

2023 · 2 Zit.

The Transformative Impact of AI, Extended Reality, and Robotics in Interventional Radiology: Current Trends and Applications

Katelyn Vlastaris, Annabelle Alrez, Samantha Friedland et al.

2024 · 2 Zit.

Maintaining Academic Integrity and Preventing Scientific Misconduct in Clinical Research

Laura J. Moulton, Tommaso Falcone

2018 · 2 Zit.

Toward Transparent and Standardized Reporting of Artificial Intelligence Models in Anesthesiology

Victor F A Almeida, Manoela Dantas, Fanru Shen et al.

2025 · 1 Zit.

Enhancing Perioperative Documentation With Artificial Intelligence Scribes in Anesthesiology

Victor F A Almeida, Manoela Dantas, Diwakar Phuyal et al.

2025 · 1 Zit.

Artificial Intelligence-Enabled Federated Learning in Vascular Surgery: A Framework for Collaborative, Privacy Preserving Research

Fanru Shen, Victor F.A. Almeida, Berk B. Özmen

2025 · 1 Zit.

Application of Artificial Intelligence in Nuclear Medicine

Gopal B. Saha

2025 · 0 Zit.

Abstract WP19: Assessing the Ability of ChatGPT to Guide the Decision for Intravenous Thrombolysis in Patients with Acute Ischemic Strokes

Sidonie Ibrikji, Ken Uchino, Andrew Buletko et al.

2025 · 0 Zit.

Bridging interpretability and clinical usability in explainable artificial intelligence

Fanru Shen, Diwakar Phuyal, Victor F.A. Almeida

2026 · 0 Zit.

A new era of efficiency: artificial intelligence scribes and the future of ophthalmology

Amy Wang, Victor F. A. Almeida

2026 · 0 Zit.