Imported infectious diseases such as malaria and other parasitic infections remain a major diagnostic challenge due to unspecific clinical presentations and limited access to specialized diagnostic expertise. In many healthcare settings, particularly in resource-limited or remote areas, adequately trained personnel and diagnostic expertise are not consistently available. Rapid and reliable diagnostics are essential to enable timely treatment initiation, improve patient outcomes and support clinical decision-making directly at the point of care. 

This project evaluates an artificial intelligence (AI)-supported point-of-care microscopy platform developed by SpotLab under real-world clinical conditions. The technology combines conventional microscopy with smartphone-based digitalization and AI-assisted image analysis of blood, stool, and bone marrow samples. Diagnostic results can be generated within minutes and shared through telemedicine networks when required, thereby enabling rapid expert consultation even in settings with limited local expertise. 

The study is conducted at the Asella Referral and Teaching Hospital and Adama Hospital Medical College in Ethiopia, where infectious and parasitic diseases are highly prevalent. In addition, the project is implemented at several clinical sites in Germany, including University Hospital Cologne, Klinikum Dortmund, Klinikum Maria Hilf Mönchengladbach, and University Hospital Düsseldorf. By conducting the study in both countries, the project aims to establish a bidirectional exchange of knowledge and expertise between healthcare settings with different epidemiological and infrastructural conditions.

The project investigates whether AI-supported point-of-care microscopy can reduce the time to diagnosis and initiation of targeted therapy compared to conventional diagnostic pathways. Furthermore, diagnostic accuracy, clinical outcomes , and workflow efficiency will be assessed.

By integrating digital microscopy, AI-supported diagnostics, telemedicine, and capacity building into routine clinical care, the project aims to improve access to specialized diagnostics, strengthen local healthcare structures and training capacities, and ultimately enhance patient care and outcomes in both Ethiopia and Germany.