Exploring the Impact of Artificial Intelligence and Machine Learning in the Diagnosis and Management of Esthesioneuroblastomas: A Comprehensive Review.
| Autor: | Patel R; Otolaryngology - Head and Neck Surgery, Loyola University Chicago Stritch School of Medicine, Chicago, USA., Masys T; Medicine, Loyola University Chicago Stritch School of Medicine, Chicago, USA., Baridi R; Oncology, Silver Cross Hospital, Oak Brook, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Cureus [Cureus] 2024 Jun 19; Vol. 16 (6), pp. e62683. Date of Electronic Publication: 2024 Jun 19 (Print Publication: 2024). |
| DOI: | 10.7759/cureus.62683 |
| Abstrakt: | Esthesioneuroblastomas (ENBs) present unique diagnostic and therapeutic challenges due to their rare and complex clinical presentation. In recent years, artificial intelligence (AI) and machine learning (ML) have emerged as promising tools in various medical specialties, revolutionizing diagnostic accuracy, treatment planning, and patient outcomes. However, their application in ENBs remains relatively unexplored. This comprehensive literature review aims to evaluate the current state of AI and ML technologies in ENB diagnosis, radiological and histopathological imaging, and treatment planning. By synthesizing existing evidence and identifying gaps in knowledge, this review aims to showcase the potential benefits, limitations, and future directions of integrating AI and ML into the multidisciplinary management of ENBs. Competing Interests: Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work. (Copyright © 2024, Patel et al.) |
| Databáze: | MEDLINE |
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