Rossella Cannarella
Papers
1
Total Citations
73
H-Index
1
About
Rossella Cannarella is a leading researcher at the intersection of endocrinology, andrology, and artificial intelligence, with a focus on male reproductive health and infertility. Her most-cited work, "Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics" (2023, 73 citations), exemplifies her pioneering contributions to integrating machine learning and computer vision into clinical andrology. Cannarella has been instrumental in developing AI-driven tools that enhance the accuracy and efficiency of semen analysis, sperm morphology assessment, and diagnostic imaging, moving the field toward more objective, reproducible, and personalized approaches. Her research addresses critical gaps in male factor infertility, including the application of deep learning to predict sperm quality and the use of robotics in assisted reproduction. With a growing citation impact, Cannarella’s work is shaping the future of digital andrology, bridging computational methods with clinical practice. She is also recognized for her contributions to hormonal regulation and oxidative stress in male infertility, and her interdisciplinary approach has made her a sought-after collaborator in reproductive medicine and biomedical informatics.
Research Focus
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Top Papers
- 1