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Barriers to Radiomics Adoption for Urological Cancer Diagnosis in Low-Income and Middle-Income Countries: A Perspective from Pakistan
1
Zitationen
3
Autoren
2025
Jahr
Abstract
We read with great interest the recent article by Isaiah Z. Yao et al., “Deep Learning Applications in Clinical Cancer Detection,” published online on July 18, 2025 in Mayo Clinic Proceedings: Digital Health.1 The authors rightly highlighted the importance of radiomics and artificial intelligence in oncology, as well as the significant barriers to adoption in low-resource settings. We would like to add the perspective of a low-resource country facing substantial challenges in the diagnosis of urological cancers due to limited access to advanced detection technologies.
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