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Predicting biochemical recurrence of prostate cancer with artificial intelligence
Medicine and HealthCommunications Medicine

Predicting biochemical recurrence of prostate cancer with artificial intelligence

H. Pinckaers, J. V. Ipenburg, et al.

This groundbreaking study explores deep learning's ability to accurately predict biochemical recurrence of prostate cancer post-surgery. With promising results from 685 patients, these innovative findings by Hans Pinckaers and colleagues suggest that machine learning can uncover tissue patterns that might surpass traditional grading systems.... show more
Citation Metrics
Citations
0
Influential Citations
3
Reference Count
51

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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