This paper is in the following e-collection/theme issue:

Viewpoints (35) Imaging Informatics (200) Machine Learning (1501) Clinical Information and Decision Making (1434) Clinical Informatics (1050) Artificial Intelligence (1421)

Published on in Vol 11, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38655, first published .
Levels of Autonomous Radiology

Levels of Autonomous Radiology

Levels of Autonomous Radiology

Authors of this article:

Suraj Ghuwalewala1 Author Orcid Image ;   Viraj Kulkarni1 Author Orcid Image ;   Richa Pant1 Author Orcid Image ;   Amit Kharat1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Ciet P, Eade C, Ho M, Laborie L, Mahomed N, Naidoo J, Pace E, Segal B, Toso S, Tschauner S, Vamyanmane D, Wagner M, Shelmerdine S. The unintended consequences of artificial intelligence in paediatric radiology. Pediatric Radiology 2023;54(4):585 View
  2. El-Sherbini A, Hassan Virk H, Wang Z, Glicksberg B, Krittanawong C. Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review. AI 2023;4(2):437 View
  3. Brady A, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, dos Santos D, Tang A, Wald C, Slavotinek J. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiology: Artificial Intelligence 2024;6(1) View
  4. Brady A, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden‐Rayner L, Pinto dos Santos D, Tang A, Wald C, Slavotinek J. Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA. Journal of Medical Imaging and Radiation Oncology 2024;68(1):7 View
  5. Brady A, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, dos Santos D, Tang A, Wald C, Slavotinek J. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA. Canadian Association of Radiologists Journal 2024;75(2):226 View
  6. Brady A, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Pinto dos Santos D, Tang A, Wald C, Slavotinek J. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA. Journal of the American College of Radiology 2024;21(8):1292 View
  7. Brady A, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, dos Santos D, Tang A, Wald C, Slavotinek J. Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA. Insights into Imaging 2024;15(1) View
  8. Morales Santos Á, Lojo Lendoiro S, Rovira Cañellas M, Valdés Solís P. La regulación legal de la inteligencia artificial en la Unión Europea: guía práctica para radiólogos. Radiología 2024;66(5):431 View
  9. Roos D, Teh A, Fitzpatrick K, Gunn M. The RANZCR Artificial Intelligence Committee: Position statement on autonomous AI. Journal of Medical Imaging and Radiation Oncology 2024;68(7):851 View
  10. Morales Santos Á, Lojo Lendoiro S, Rovira Cañellas M, Valdés Solís P. The legal regulation of artificial intelligence in the European Union: A practical guide for radiologists. Radiología (English Edition) 2024;66(5):431 View