Work

Development and validation of a computational histology artificial intelligence-powered prognostic biomarker in muscle-invasive bladder cancer

Year: 2026

Type: article

Study design: Observational Study

Source: UNC Libraries

DOI: 10.17615/k0q3-hm52

Authors: Chang, Sam S, Kaul, Gaurav, Bukavina, Laura, Kamat, Ashish M, Lotan, Yair, Woldu, Solomon, Li, Roger, Allison, Derek, Neema, Akshay, Krishna, Viswesh, Krishna, Vrishab, Margulis, Vitaly, Kim, Joon Kyung, Hensley, Patrick J, Royce, Trevor J, Joshi, Anirudh, Zhang, Haochen

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Abbott Laboratories, Kidney Cancer Association, Patient-Centered Outcomes Research Institute, University of Kentucky, Bladder Cancer Advocacy Network, American Urological Association

OpenAlex ID: W7203907822

FWCI:

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