Thematic Case Reviews

In these thematic reviews, the organisation and presentation of cases will be based on the latest educational research, including literature exploring the role of expertise in radiologic image interpretation; how to promote active learning in radiology trainees, and activities to simulate how experts through deliberate practice generate a holistic high-level representation of the image, which then fine-tunes the perception of potential lesions. These reviews will leverage on the large database of online published and unpublished (at the moment) "normal" and "abnormal" cases. Selected use of didactic instructional videos will be included.

Monday, 20 August 2018

The Future of Radiology

Google search for 'The future of radiology: adding value to clinical care'

The End of Radiology? Three Threats to the Future Practice of Radiology (ACR 2016)

Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence (Academic Radiology, 2018)

RSNA’s New Journal, Radiology: Artificial Intelligence, Now Accepting Submissions (launch early 2019)

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks (Clinical Radiology, 2018)–-threat-or-opportunity/

Artificial intelligence for radiology

The future of radiology augmented with Artificial Intelligence: A strategy for success (European Journal of Radiology, 2018)

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