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Advanced imaging in adult diffusely infiltrating low-grade gliomas

Advanced imaging in adult diffusely infiltrating low-grade gliomas

This study reports on the spectrum and diagnostic value of the available advanced imaging techniques in neuro-oncology and reviews the added value as well as the possible pitfalls of using quantitative MRI techniques in addition to conventional MRI. In addition to...
Mentorship in academic radiology: why it matters

Mentorship in academic radiology: why it matters

This article focuses on benefits and challenges of mentorship in academic radiology. The authors also examine what are the necessary steps for instituting a faculty mentoring program and discuss different types of mentoring. Article: Mentorship in academic radiology:...
European Training Assessment Programme 2.0

European Training Assessment Programme 2.0

This article describes the European Training Assessment Programme (ETAP) 2.0, a programme that offers a structured assessment of radiology training institutions applying for certification. ETAP 2.0 can also be used to help develop assessment systems and guidelines for...
Impact of artificial intelligence on radiology: EuroAIM survey results

Impact of artificial intelligence on radiology: EuroAIM survey results

This article states the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) in 5–10 years. The 24,000 responders show a generally favourable attitude towards the use of AI. Article:...
HRCT imaging of acquired cholesteatoma

HRCT imaging of acquired cholesteatoma

The authors of this review analyse the various HRCT imaging features of acquired cholesteatoma, a reporting template, and briefly discuss the imaging of the post-operative ear. Article: HRCT imaging of acquired cholesteatoma: a pictorial review Authors: Malvika...
Ethics of artificial intelligence in radiology

Ethics of artificial intelligence in radiology

This article is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology. It highlights the agreement that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the...