Africa's readiness for artificial intelligence in clinical radiotherapy delivery: Medical physicists to lead the way.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date:

Abstract

BACKGROUND: There have been several proposals by researchers for the introduction of Artificial Intelligence (AI) technology due to its promising role in radiotherapy practice. However, prior to the introduction of the technology, there are certain general recommendations that must be achieved. Also, the current challenges of AI must be addressed. In this review, we assess how Africa is prepared for the integration of AI technology into radiotherapy service delivery.

Authors

  • Eric Naab Manson
    University for Development Studies, Tamale, Ghana.
  • Francis Hasford
    Ghana Atomic Energy Commission, Accra, Ghana. Electronic address: haspee@yahoo.co.uk.
  • Chris Trauernicht
    Division of Medical Physics, Stellenbosch University, Tygerberg Academic Hospital, Cape Town, South Africa.
  • Taofeeq Abdallah Ige
    University of Abuja, Abuja, Nigeria.
  • Stephen Inkoom
    Ghana Atomic Energy Commission, Accra, Ghana.
  • Samuel Inyang
    University of Calabar, Calabar, Nigeria.
  • Odette Samba
    General Hospital of Yaoundé and University of Yaoundé I, Cameroon. Electronic address: nosambacm@yahoo.fr.
  • Nadia Khelassi-Toutaoui
    Centre de Recherch Nucléaire d'Alger, Algeria. Electronic address: nadiakhelassi@yahoo.fr.
  • Graeme Lazarus
    Inkosi Albert Luthuli Central Hospital, Durban, South Africa. Electronic address: graeme.lazarus@ialch.co.zai.
  • Edem Kwabla Sosu
    School of Nuclear and Allied Sciences, University of Ghana, Ghana. Electronic address: eksosu@ug.edu.ghj.
  • Mark Pokoo-Aikins
    Ghana Atomic Energy Commission, Accra, Ghana.
  • Magdalena Stoeva
    Medical University of Plovdiv, Plovdiv, Bulgaria. Electronic address: ms_stoeva@yahoo.com.