Purpose: Artificial intelligence (AI) applications in radiotherapy (RT) are expected to save time and improve quality, but implementation remains limited. Therefore, we used implementation science to develop a format for designing an implementation strategy for AI. This study aimed to (1) apply this format to develop an AI implementation strategy for our center; (2) identify insights gained to enhance AI implementation using this format; and (3) assess the feasibility and acceptability of this format to design a center-specific implementation strategy for departments aiming to implement AI.
View Article and Find Full Text PDFBackground: Measles is a highly contagious disease presenting a significant risk for unvaccinated infants and adults. Measles vaccination under the age of 12 months provides early protection, but has also been associated with blunting of antibody responses to subsequent measles vaccinations and assumed to have lower vaccine effectiveness.
Methods: Our study included children who received an early measles, mumps and rubella (MMR) vaccination between 6 and 12 months of age (n=79, given in addition to the regular MMR vaccination schedule at 14 months and 9 years) and a group without additional early vaccination (n=44).
Highly pathogenic avian influenza (HPAI) H5N1 viruses are responsible for disease outbreaks in wild birds and poultry, resulting in devastating losses to the poultry sector. Since 2020, an increasing number of outbreaks of HPAI H5N1 was seen in wild birds. Infections in mammals have become more common, in most cases in carnivores after direct contact with infected birds.
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