Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Rasheed Omobolaji Alabi"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Nasopharyngeal cancer (NPC) has a unique histopathology compared with other head and neck cancers. Individual NPC patients may attain different outcomes. This study aims to build a prognostic system by combining a highly accurate machine lea
Externí odkaz:
https://doaj.org/article/2305d183b1d54139b5c76a3c3fd30c80
Autor:
Alhadi Almangush, Rasheed Omobolaji Alabi, Giuseppe Troiano, Ricardo D. Coletta, Tuula Salo, Matti Pirinen, Antti A. Mäkitie, Ilmo Leivo
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background The clinical significance of tumor-stroma ratio (TSR) has been examined in many tumors. Here we systematically reviewed all studies that evaluated TSR in head and neck cancer. Methods Four databases (Scopus, Medline, PubMed and We
Externí odkaz:
https://doaj.org/article/a3cbdc50972d497babcf591d7997abb6
Publikováno v:
Frontiers in Oral Health, Vol 2 (2022)
Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and improper treatment planning still form a significant concern. Diagno
Externí odkaz:
https://doaj.org/article/c51e6e206bf64179ad0b09b802a20f51
Autor:
Rasheed Omobolaji Alabi, Päivi Hietanen, Mohammed Elmusrati, Omar Youssef, Alhadi Almangush, Antti A. Mäkitie
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Objectives: The purpose of this study was to provide a scoping review on how to address and mitigate burnout in the profession of clinical oncology. Also, it examines how artificial intelligence (AI) can mitigate burnout in oncology.Methods: We searc
Externí odkaz:
https://doaj.org/article/5af52e4fcde14302aef074fce2132a56
Autor:
Rasheed Omobolaji Alabi, Ibrahim O. Bello, Omar Youssef, Mohammed Elmusrati, Antti A. Mäkitie, Alhadi Almangush
Publikováno v:
Frontiers in Oral Health, Vol 2 (2021)
The application of deep machine learning, a subfield of artificial intelligence, has become a growing area of interest in predictive medicine in recent years. The deep machine learning approach has been used to analyze imaging and radiomics and to de
Externí odkaz:
https://doaj.org/article/93148530bf2b477fa1af13281e4091c3
Publikováno v:
Acta Oto-Laryngologica. 143:206-214
Background: The optimal management of oropharyngeal squamous cell carcinoma (OPSCC) includes both sur-gical and non-surgical, that is, (chemo)radiotherapy treatment options and their combinations. These approaches carry a risk of specific treatment-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8747aa734fd89d796c9977ea505a76f7
http://hdl.handle.net/10138/351487
http://hdl.handle.net/10138/351487
Autor:
Rasheed Omobolaji Alabi, Anni Sjöblom, Timo Carpén, Mohammed Elmusrati, Ilmo Leivo, Alhadi Almangush, Antti A. Mäkitie
Publikováno v:
International Journal of Medical Informatics. 175:105064
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 14; Pages: 8366
Background: Machine learning models have been reported to assist in the proper management of cancer through accurate prognostication. Integrating such models as a web-based prognostic tool or calculator may help to improve cancer care and assist clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c59d56d0b4def8efbf47717c3c860c2
http://hdl.handle.net/10138/346803
http://hdl.handle.net/10138/346803
Autor:
Antti A. Mäkitie, Rasheed Omobolaji Alabi, Helena Orell, Omar Youssef, Alhadi Almangush, Akihiro Homma, Robert P. Takes, Fernando López, Remco de Bree, Juan P. Rodrigo, Alfio Ferlito
Publikováno v:
Advances in Therapy, 39, 4, pp. 1502-1523
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Advances in Therapy, 39, 1502-1523
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Advances in Therapy, 39, 1502-1523
Contains fulltext : 251733.pdf (Publisher’s version ) (Open Access) INTRODUCTION: Patients with head and neck cancer (HNC) are usually confronted with functional changes due to the malignancy itself or its treatment. These factors typically affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f11dd037172d78dbed65ad238337880a
https://repository.ubn.ru.nl/handle/2066/251733
https://repository.ubn.ru.nl/handle/2066/251733