Editorial: Radiomics and AI for clinical and translational medicine

Front Radiol. 2024 Feb 19:4:1375443. doi: 10.3389/fradi.2024.1375443. eCollection 2024.

Eros Montin^{1

2}, Valentina D A Corino^{3

4}, Dimitri Martel^{1

2}, Giuseppe Carlucci⁵, Davide Scaramuzza⁶

¹ Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, United States.
² Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, NY, United States.
³ Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
⁴ CardioTech Lab, IRCCS Centro Cardiologico Monzino, Milan, Italy.
⁵ Biomedical Cyclotron Facility Ahmanson Translational Theranostics Division, University of California, Los Angeles, Los Angeles, CA, United States.
⁶ Dipartimento di Diagnostica per immagini e radioterapia, Fondazione IRCCS Istituto dei Tumori, Milan, Italy.

No abstract available

Keywords: artificial intelligence; automatic diagnosis and prediction models; features selection (FS); genomics; machine learning; radiomics.

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