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Medical students are not so anxious about AI

Medical students are not so anxious about AI

This survey among students shows that juniors welcome AI and believe that it will induce important changes in daily practice; however, they are not afraid of being replaced by the machines. Article: Medical students’ attitude towards artificial intelligence: a...
MRI gets closer to genomics in prostate cancer

MRI gets closer to genomics in prostate cancer

Defining which prostate cancers are potentially aggressive and provide early metastases is essential for patient management. It seems that visibility with MRI is a prognostic predictor. Article: Correlation between MRI phenotypes and a genomic classifier of prostate...
How Artificial Intelligence looks at images

How Artificial Intelligence looks at images

AI does not mimic humans, but learns from humans. It has its own traps, like over-fitting. We need to learn how AI “thinks” and share the same “PICO” approach. Article: Demystification of AI-driven medical image interpretation: past, present and future Authors: Peter...
LI-RADS: not so easy!

LI-RADS: not so easy!

Although LI-RADS is a great improvement towards standardization of reporting and medical decision, difficulties in daily practice still exist. Article: Pitfalls and problems to be solved in the diagnostic CT/MRI Liver Imaging Reporting and Data System (LI-RADS)...
Guidelines from ESUR: endometrial cancer

Guidelines from ESUR: endometrial cancer

Very useful for daily practice! From preparation to reporting MRI, these guidelines will help you with patients with suspicion of endometrial cancer. Article:  Endometrial Cancer MRI staging: Updated Guidelines of the European Society of Urogenital Radiology Authors: ...
Breast MRI: look around, not only at the gland

Breast MRI: look around, not only at the gland

Sarcopenia is an increasingly important biomarker in patients with cancer. When performing breast MRI, look at the pectoralis muscle. This will inform you as well as the psoas muscle. Article: Muscle mass estimation on breast magnetic resonance imaging in breast...