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Congress: ECR24

Poster Number: C-21633

Type: EPOS Radiologist (scientific)

DOI: 10.26044/ecr2024/C-21633

Authorblock: C. Salvatore¹, M. Interlenghi¹, E. Schiavon¹, A. Lad¹, D. Fazzini¹, M. Alì¹, S. Papa¹, F. Sardanelli², I. Castiglioni³; ¹Milan/IT, ²San Donato Milanese, Milan/IT, ³Milano/IT

Disclosures:

Christian Salvatore: Shareholder: DeepTrace Technologies S.R.L., Milan, Italy CEO: DeepTrace Technologies S.R.L., Milan, Italy

Matteo Interlenghi: Shareholder: DeepTrace Technologies S.R.L., Milan, Italy Employee: DeepTrace Technologies S.R.L., Milan, Italy

Elia Schiavon: Employee: DeepTrace Technologies S.R.L., Milan, Italy

Akash Lad: Nothing to disclose

Deborah Fazzini: Nothing to disclose

Marco Alì: Other: Bracco Imaging

Sergio Papa: Nothing to disclose

Francesco Sardanelli: Nothing to disclose

Isabella Castiglioni: Shareholder: DeepTrace Technologies S.R.L., Milan, Italy

Keywords: Breast, Mammography, Computer Applications-General, Cancer

References

Magni, V., Interlenghi, M., Cozzi, A., Alì, M., Salvatore, C., Azzena, A. A., ... & Sardanelli, F. (2022). Development and validation of an AI-driven mammographic breast density classification tool based on radiologist consensus. Radiology: Artificial Intelligence, 4(2), e210199.