Background And Aims: We aimed to develop an easily deployable artificial intelligence (AI)-driven model for rapid prediction of urine culture test results.
Material And Methods: We utilized a training dataset (n = 34,584 urine samples) and two separate, unseen test sets (n = 10,083 and 9,289 samples). Various machine learning models were compared for diagnostic performance.
The objective of this qualitative study was to highlight the facilitating measures and difficulties encountered in continuing breastfeeding when returning to work at the Brest Regional University Hospital. The eleven mothers interviewed were able to take advantage of the solidarity in the care services to carry out their project, but simple institutional measures are still possible to facilitate this conciliation.
View Article and Find Full Text PDFObjectives: The definition of work-related Asthma (WRA) has changed in recent years and new etiologies and agents have been identified. The aim of this study is to describe the main causal agents of WRA in France in the period 2001-2018 in the main work sectors.
Methods: Data were collected from the French national network of occupational health surveillance and prevention [Réseau National de Vigilance et de Prévention des Pathologies Professionnelles (RNV3P)], Data between 2001 and 2018 with at least a probable or certain association with one occupational agent, were included.
During the first months of the Sars-Cov-2 pandemic, French caregivers faced difficult situations, organizational changes, and rapidly changing recommendations. The occupational physicians of the hospital staff had to accompany the caregivers, both to answer their questions, both to better prevent the risks to their health in connection with the pandemic. Recommendations were quickly issued by the Société française de médecine du travail (French Society of Occupational Medicine).
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