Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward

David J. DeGraff

doi:10.1016/j.eururo.2009.11.036

Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward

David J. DeGraff

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Pages (from-to)	407-408
Number of pages	2
Journal	European Urology
Volume	57
Issue number	3
DOIs	https://doi.org/10.1016/j.eururo.2009.11.036
State	Published - Mar 2010

All Science Journal Classification (ASJC) codes

Urology

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10.1016/j.eururo.2009.11.036

Cite this

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title = "Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward",

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language = "English (US)",

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Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward. / DeGraff, David J.
In: European Urology, Vol. 57, No. 3, 03.2010, p. 407-408.

Research output: Contribution to journal › Editorial › peer-review

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SP - 407

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Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward

All Science Journal Classification (ASJC) codes

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