The Use of Artificial Intelligence in Predicting Chemotherapy-Induced Toxicities in Metastatic Colorectal Cancer: A Data-Driven Approach for Personalized Oncology
The incorporation of artificial intelligence in personalizing colorectal cancer management by anticipating and overseeing toxicities more effectively illustrates a pivotal shift towards more personalized and precise medical care.
Authors
- Silvia Riondino (ORCID: https://orcid.org/0000-0002-2965-402X)
- Mihai Vasile Marinca (ORCID: https://orcid.org/0000-0002-2193-3059)
- Vladimir Poroch (ORCID: https://orcid.org/0000-0002-2503-5395)
- Eliza-Maria Froicu (ORCID: https://orcid.org/0000-0001-5420-3442)
- Elena Adriana Dumitrescu
- Teodora Alexa‐Stratulat (ORCID: https://orcid.org/0000-0003-2696-9568)
- Lucian Miron (ORCID: https://orcid.org/0000-0001-9087-8893)
- Gema Bacoanu (ORCID: https://orcid.org/0000-0003-2793-3495)
- Bogdan Gafton (ORCID: https://orcid.org/0000-0002-2923-3567)
- Oriana-Maria Oniciuc
- Vlad-Adrian Afrăsânie
- Iulian Radu
Institutions
- University of Rome Tor Vergata (IT)
- Alexandru Ioan Cuza University (RO)
- Carol Davila University of Medicine and Pharmacy (RO)
- Grigore T. Popa University of Medicine and Pharmacy (RO)
- Institutul Regional de Oncologie (RO)
- Institutul Oncologic Bucuresti (RO)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-09-19
- DOI
- https://doi.org/10.3390/diagnostics14182074
- Citations
- 7
- Primary Topic
- Colorectal Cancer Treatments and Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.98