Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks.

In many countries, mental health issues are among the most serious public health concerns. National mental health statistics are frequently collected from reported patient cases or government-sponsored surveys, which have restricted coverage, frequency, and timeliness. Many domains of study, including public healthcare and biomedical informatics, have recently adopted social media data as a feasible real-time alternative to traditional methods of gathering representative information at the population level in a variety of contexts.

Precision of Low-Cost Augmented Reality in Prefabricated Cutting Guide for Fibular Free Flap Surgery.

Background: Augmented reality (AR) is an imaging technology encompassing an interactive experience of a real-world environment enhanced by computer-generated perceptual information. It has been introduced to current medical practice to help the preoperative planning in many surgical fields.

Methods: The authors applied AR to the computed tomography angiography of 8 patient's legs.