Artificial Intelligence Radiology (AIR): A copilot tool for quantitative assessment of lung diseases

Purpose and goal

The AIR project aims to assist radiologists in longitudinal assessments of lung
diseases. Its goals include:

1. Developing an AI tool that enables objective measures of predominant lung disease based on Computed Tomography images and laboratory results.
2. Assisting radiologists in making precise diagnoses and giving insight into disease patterns, treatment efficacy and personalized care.
3. Promoting international collaboration that addresses public health by evaluating the impact of biomarker data collection through self-sampling.
   

Expected effects and results

The AIR project aims to reduce the variability arising from subjective
interpretations of lung exams. The solution is expected to lead to more equitable access to accurate diagnoses and treatments, thereby helping to bridge healthcare disparities within the population. The project benefits all participants by offering:

1. Improved diagnostic accuracy
2. Enhanced product portfolios
3. Validation of expertise
4. Opportunities for research and educational advancement
5. Fostering international cooperation between Sweden and Brazil