Work

Artificial Intelligence–Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality

Year: 2025

Type: article

Source: Cancer Research

DOI: 10.1158/0008-5472.can-24-3630

Authors: Pegah Khosravi, Thomas J. Fuchs, David Joon Ho

Institutions: The Graduate Center, CUNY, City University of New York, New York City College of Technology, Icahn School of Medicine at Mount Sinai, National Cancer Center

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: closed

Funder: National Cancer Center

Award: G3340555927

OpenAlex ID: W4411920326

FWCI: 15.91

Cites: 133

Cited by: 39

Related to: 10