A Quantitative Comparison Between Human and Artificial Intelligence in the Detection of Focal Cortical Dysplasia.

Objectives: Artificial intelligence (AI) is thought to improve lesion detection. However, a lack of knowledge about human performance prevents a comparative evaluation of AI and an accurate assessment of its impact on clinical decision-making. The objective of this work is to quantitatively evaluate the ability of humans to detect focal cortical dysplasia (FCD), compare it to state-of-the-art AI, and determine how it may aid diagnostics.

Characteristics and opinions of MD-PhD students and graduates from different European countries: a study from the European MD-PhD Association.

Background: MD-PhD programmes throughout the world provide a platform for medical trainees to commit to a physician-scientist career, qualifying with both a medical degree (MD or equivalent) and Doctor of Philosophy (PhD). However, there are limited studies assessing the characteristics of MD-PhD programmes in Europe and the outcomes of MD-PhD students and graduates.

Purpose: This study aims at a first country-wise exploration of characteristics, opinions, and academic outcomes of MD-PhD students and graduates in Europe.

In Vitro Recapitulation of Developmental Transitions in Human Neural Stem Cells.

During nervous system development, early neuroepithelial stem (NES) cells with a highly polarized morphology and responsiveness to regionalizing morphogens give rise to radial glia (RG) cells, which generate region-specific neurons. Recently, stable neural cell populations reminiscent of NES cells have been obtained from pluripotent stem cells and the fetal human hindbrain. Here, we explore whether these cell populations, similar to their in vivo counterparts, can give rise to neural stem (NS) cells with RG-like properties and whether region-specific NS cells can be generated from NES cells with different regional identities.