Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content.

Background: The COVID-19 pandemic had a devastating global impact. In the United States, there were >98 million COVID-19 cases and >1 million resulting deaths. One consequence of COVID-19 infection has been post-COVID-19 condition (PCC).

A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study.

Background: Community obesity outcomes can reflect the food environment to which the community belongs. Recent studies have suggested that the local food environment can be measured by the degree of food accessibility, and survey data are normally used to calculate food accessibility. However, compared with survey data, social media data are organic, continuously updated, and cheaper to collect.

Healthy vs. Unhealthy Food Images: Image Classification of Twitter Images.

Obesity is a modern public health problem. Social media images can capture eating behavior and the potential implications to health, but research for identifying the healthiness level of the food image is relatively under-explored. This study presents a deep learning architecture that transfers features from a 152 residual layer network (ResNet) for predicting the level of healthiness of food images that were built using images from the Google images search engine gathered in 2020.

Development and validation of an objective structured assessment of technical skill tool for the practice of breech presentation delivery.

Objective: To develop and test the validity of an Objective Structured Assessment of Technical Skills (OSATS) tool for breech presentation delivery.

Materials And Methods: Monocentric prospective study conducted in the Department of Gynecology, Obstetrics, Fetal Medicine and Reproductive Medicine at the University Hospital of Nice. The study consisted of two parts, the development of the OSATS scoring system and its objective validation.

Development and validation of an objective structured assessment of technical skill tool for the practice of vertex presentation delivery.

Objective: To develop and test the validity of an objective structured assessment of technical skill (OSATS) tool for vertex presentation delivery simulations.

Materials And Methods: Monocentric prospective study conducted in the Department of Gynecology, Obstetrics, Fetal Medicine and Reproductive Biology at the University Hospital of Nice. The study consisted of two parts, the development of the scoring system and then its validation.