Publications by authors named "Alfredo Distante"

Article Synopsis
  • Renal cell carcinoma (RCC) presents diverse histopathological features, complicating accurate diagnosis and prognosis, prompting a review of recent AI advancements in pathology to improve analysis accuracy and efficiency.
  • AI techniques are showing promise in effectively identifying and classifying RCC features, which can improve diagnosis, grading, and prognosis prediction while potentially reducing costs and the workload for pathologists.
  • Despite these benefits, challenges like standardization, performance benchmarking, and integration into clinical practices remain; developing clear methodologies and validation processes is essential for the successful adoption of AI in RCC pathology.
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