Understanding Artificial Intelligence and Applications in Oncology: Narrative Review
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Turkiye Klinikleri
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
There is a rapid progression of information technologies in healthcare. One of the cornerstones of the process is AI, which uses a combination of multiple technologies in modern healthcare applications and has both administrative and clinical aspects. AI assists in the field of medicine by modifying the existing disease prevention procedures, diagnosis, treatment, drug development, clinical care, and other healthcare services; moreover, it is a promising modality in almost every field. In contrast, ethical issues such as accountability, personal data protection, patient safety, application bias, and trust issues are still debatable as they have not been fully addressed by AI. These discussions are based on the inadequacy of existing procedures, standards, and ethical rules for the ever-evolving AI technologies. Additionally, AI should be most intensively used for patients with oncologyand oncological applications. Thus, this article aimed to provide deep insights for a sim-ple understanding of AI for oncologists. © 2024 by Turkish Society of Medical Oncology.
Açıklama
Anahtar Kelimeler
Artificial Intelligence; Black-Box; Medicine; Oncology; Understanding, Algorithm; Artificial Intelligence; Cognition; Deep Learning; Deep Neural Network; Engineering; Expert System; Feature Detection; Human; Information Processing; Learning; Machine Learning; Oncology; Processing; Review; Technology
Kaynak
Journal of Oncological Science
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
10
Sayı
1
