Optimal Treatment Paths for Lung Diseases

Lung diseases form a very heterogeneous group of serious illnesses. Targeted and successful treatment requires an early and precise diagnosis of the disease in question. However, carrying out complex examinations and planning the best possible individual therapies is a major challenge in everyday clinical practice.
 

Individualized Multimodal Diagnosis and Treatment of Lung Diseases

In the project »AI4Lungs«, digital tools, methods and models for the optimal selection of clinical treatment paths for lung patients are being developed in cooperation with international partners from research, development and medicine. In the first step, patients undergo innovative and wide-ranging diagnostics, whose multi-modal data is then automatically analysed. Based on the results of the analysis and together with the patients, treating physicians plan their further therapy along the most suitable clinical treatment pathways. The results from »AI4Lungs« will enable resource-efficient and medically optimized care for lung diseases in the future.

Improved Care With Modern AI Procedures and Digitally Assisted Treatment Planning

For in-depth diagnostics, »AI4Lungs« relies on several examination methods such as medical imaging, digital stethoscopy, liquid biopsy and molecular pathology. The analysis of the multi-modal data collected in this way requires the combined use of various artificial intelligence (AI) methods, such as ensemble learning, entropy-based learning methods, computational linguistics or deep learning.