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...
Dear Editor, We had read carefully the paper from doctors Sarah J. van Riel, Colin Jacobs, Ernst Th. Scholten, Rianne Wittenberg, Mathilde M. Winkler Wille, Bartjan de Hoop, Ralf Sprengers, Onno M. Mets, Bram Geurts and Mathias Prokop, Observer variability for...
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...
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...
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)...
