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Artificial Intelligence in Radiation Treatment Planning: A Survey-Based Observational Study From A Cancer Centre in Nigeria

Introduction Low- and middle-income countries (LMICs) like Nigeria face rising cancer incidence and mortality, with late-stage presentation and limited resources. Only eight government-funded radiotherapy centres serve a population of 223.8 million—far below the estimated 280 radiotherapy machines r...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Adewumi O Alabi MBBS, FWACS, FMCR, Foaud Emadelden PhD, Victoria Ainsworth MD, Victor Isibor MBBS, Bolanle C Adegboyega MBBS, FWACS, FMCR, Francis Boateng PhD, Godwin Uwagba MBBS, FWACS, FMCR, Eben Aje MBBS, FWACS, FMCR, Chidi Agbwakuru MBBS, FWACS, FMCR, Samuel Adeneye PhD, Mariam A Bashir MBBS, Muhammad Y Habeebu MBBS, FWACS, FMCR, Anthonia C Sowunmi MBBS, FWACS, FMCR, Wilfred Ngwa PhD, Francis A Durosinmi-Etti MBBS, FWACS
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: SAGE Publishing 2026-04-01
Σειρά:Technology in Cancer Research & Treatment
Διαθέσιμο Online:https://doi.org/10.1177/15330338251403601
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