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Antti Mäkitie

Biographic Data

ID7881129
NAMEAntti Mäkitie
GIVEN NAMESAntti
FAMILY NAMEMäkitie
SIGNATUREMÄKITIE A
AFFILIATIONSKarolinska University Hospital
ORCID0000-0002-0451-2404
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Acute Acoustic Trauma after Exposure to Assault Rifle Noise among Conscripts in the Finnish Defence Forces—A Population-Based Survey

    Open Access•Markku Toivonen, Rauno Pääkkönen et al.•ARTICLE•International Journal of…•2023

    Conscripts are exposed to various sources of impulse noise despite hearing protection recommendations. The aim of this study was to investigate the frequency of acute acoustic trauma (AAT) among conscripts after exposure to assault rifle noise in the Finnish Defence Forces (FDF). This nationwide population-based cohort comprised all conscripts (>220,000) in the FDF during the years 1997-2003 and 2008-2010. We included those who claimed to have AA…

  • Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication

    Open Access•Rasheed Omobolaji Alabi, Alhadi Almangush et al.•ARTICLE•International Journal of…•2022

    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 clinicians in making oral cancer management-related decisions. However, none of these models have been recommended in daily practices of oral cancer due to concerns related to machine learning methodolog…

  • Mitigating Burnout in an Oncological Unit

    Open Access•Rasheed Omobolaji Alabi, Päivi Hietanen et al.•ARTICLE•Frontiers in Public Health•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 searched Ovid Medline, PubMed, Scopus, and Web of Science, for articles that examine how to address burnout in oncology. Results: A total of 17 studies were found to examine how burnout in oncology can be…

  • Additive Manufacturing of Resected Oral and Oropharyngeal Tissue

    Open Access•Alexandria L Irace, Anne Koivuholma et al.•ARTICLE•International Journal of…•2021

    Better visualization of tumor structure and orientation are needed in the postoperative setting. We aimed to assess the feasibility of a system in which oral and oropharyngeal tumors are resected, photographed, 3D modeled, and printed using additive manufacturing techniques. Three patients diagnosed with oral/oropharyngeal cancer were included. All patients underwent preoperative magnetic resonance imaging followed by resection. In the operating …

No prominent works on this page.

  • Mitigating Burnout in an Oncological Unit

    Open Access•Rasheed Omobolaji Alabi, Päivi Hietanen et al.•ARTICLE•Frontiers in Public Health•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 searched Ovid Medline, PubMed, Scopus, and Web of Science, for articles that examine how to address burnout in oncology. Results: A total of 17 studies were found to examine how burnout in oncology can be…

  • Additive Manufacturing of Resected Oral and Oropharyngeal Tissue

    Open Access•Alexandria L Irace, Anne Koivuholma et al.•ARTICLE•International Journal of…•2021

    Better visualization of tumor structure and orientation are needed in the postoperative setting. We aimed to assess the feasibility of a system in which oral and oropharyngeal tumors are resected, photographed, 3D modeled, and printed using additive manufacturing techniques. Three patients diagnosed with oral/oropharyngeal cancer were included. All patients underwent preoperative magnetic resonance imaging followed by resection. In the operating …

  • Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication

    Open Access•Rasheed Omobolaji Alabi, Alhadi Almangush et al.•ARTICLE•International Journal of…•2022

    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 clinicians in making oral cancer management-related decisions. However, none of these models have been recommended in daily practices of oral cancer due to concerns related to machine learning methodolog…

  • Acute Acoustic Trauma after Exposure to Assault Rifle Noise among Conscripts in the Finnish Defence Forces—A Population-Based Survey

    Open Access•Markku Toivonen, Rauno Pääkkönen et al.•ARTICLE•International Journal of…•2023

    Conscripts are exposed to various sources of impulse noise despite hearing protection recommendations. The aim of this study was to investigate the frequency of acute acoustic trauma (AAT) among conscripts after exposure to assault rifle noise in the Finnish Defence Forces (FDF). This nationwide population-based cohort comprised all conscripts (>220,000) in the FDF during the years 1997-2003 and 2008-2010. We included those who claimed to have AA…

Medicine (4 works) · 3d printed (1 work) · Acoustic trauma (1 work) · Advances in Oncology and Radiotherapy (1 work) · AI in cancer detection (1 work) · Anatomy and Medical Technology (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Audiology (1 work) · Augmented Reality Applications (1 work)

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