Society of Interventional Radiology

Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations

Joanna Kedra, Timothy R. D. J. Radstake, Aridaman Pandit et al.

2019 · 39 Zit.

Interventional Radiology Reporting Standards and Checklist for Artificial Intelligence Research Evaluation (iCARE)

James T Anibal, Hannah Huth, Tom Boeken et al.

2025 · 2 Zit.

AI and Incidental Findings

Eric D. Cyphers, Venkatesh Krishnasamy, Joshua Weintraub

2023 · 2 Zit.

Evaluating the Diagnostic Accuracy of Artificial Intelligence in Spondylolisthesis Detection: A Systematic Review and Meta-analysis

Mohammad‐Taha Pahlevan‐Fallahy, Amir-Mohammad Asgari, Alireza Soltani Khaboushan et al.

2025 · 1 Zit.

Interventional Radiology Reporting Standards and Checklist for Artificial Intelligence Research Evaluation (iCARE)

James Anibal, Hannah Huth, Tom Boeken et al.

2025 · 0 Zit.

A comparative performance analysis of regular expressions and a large language model-based approach to extract the BI-RADS score from radiological reports.

Dennstädt, Fabio, Lerch, Luc, Schmerder, Max et al.

2025 · 0 Zit.

William Wijns MD PhD FESC

Judy Ozkan

2018 · 0 Zit.

The value of artificial intelligence (AI) in detection of post traumatic brain injury using non-contrast CT scans

Medhat Refaat, Waseem El Gendy, Ahmed Shalan et al.

2025 · 0 Zit.

Harnessing Large Language Models for Radiology Report Simplification and Improving Patient Comprehension: A Narrative Review

Shreyas Naidu, Hanzhou Li, John T. Moon et al.

2026 · 0 Zit.

Comparative accuracy of artificial intelligence versus manual interpretation in detecting pulmonary hypertension across chest imaging modalities: a diagnostic test accuracy meta-analysis

Faizan Ahmed, Faseeh Haider, Ramsha Ali et al.

2026 · 0 Zit.

Novel Artificial Intelligence Chest X-ray Diagnostics: A Quality Assessment of Their Agreement with Human Doctors in Clinical Routine.

Wolfram A. Bosbach, Luca Schoeni, Jan F. Senge et al.

2026 · 0 Zit.

Artificial intelligence for fracture detection on computed tomography: a comprehensive systematic review and meta-analysis of diagnostic test accuracy in non-commercial and commercial solutions.

Julius Husarek, Anika M C Fuchss, Thomas Ruder et al.

2026 · 0 Zit.

Contextualizing AI Evaluation in Anesthesiology: Interpreting Large Language Models and Computer Vision Metrics Across Clinical Use Cases—An Expert Statement from the Society of Technology in Anesthesia

Oliver Cafferty, Sean Jeffries, Eric D. Pelletier et al.

2026 · 0 Zit.