Lidia Goterris
Papers
1
Total Citations
3
H-Index
1
About
Lidia Goterris is a biomedical researcher whose work lies at the intersection of infectious disease diagnosis and artificial intelligence. Her primary research focus is the development and evaluation of automated diagnostic tools for neglected tropical diseases, with a particular emphasis on malaria. In her most cited work, "Evaluation of an Artificial Intelligence-Based Tool and a Universal Low-Cost Robotized Microscope for the Automated Diagnosis of Malaria" (2024), she addresses a critical global health challenge: the reliance on expert-dependent microscopy for malaria diagnosis, which can lead to diagnostic errors. Goterris's major contribution is the rigorous assessment of AI-driven digital image analysis and low-cost robotic microscopy as scalable, accurate alternatives to traditional methods. This work demonstrates her commitment to bridging the gap between cutting-edge technology and real-world clinical application, particularly in resource-limited settings. With 3 citations already in a short time, her research is gaining traction as a promising solution for improving malaria diagnosis. Goterris's work exemplifies how AI can democratize access to high-quality diagnostics, making her a rising voice in the field of digital pathology and global health innovation.
Research Focus
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Top Papers
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