ARTIFICIAL INTELLIGENCE-ASSISTED RADIOTHERAPY FOR PELVIC AND ABDOMINAL MALIGNANCIES: ASSESSING FEASIBILITY IN THE CONTEXT OF AFRICA‑SPECIFIC RISKS - Summary - MDSpire

ARTIFICIAL INTELLIGENCE-ASSISTED RADIOTHERAPY FOR PELVIC AND ABDOMINAL MALIGNANCIES: ASSESSING FEASIBILITY IN THE CONTEXT OF AFRICA‑SPECIFIC RISKS

  • By

  • Fiagbedzi, Emmanuel

  • Acquah, George Felix

  • Baidoo, Alhassan Mohammed

  • Osei- Poku, Linda

  • Pokoo-Aikins, Mark

  • Dery, Theresa

  • Agyabeng, Annette

  • Issahaku, Shirazu

  • Sackey, Theophilus Akumea

  • Adu-Poku, Mary

  • Sosu, Edem Kwabla

  • Tagoe, Samuel Nii Adu

  • Addison, Eric Clement Kotei

  • Hasford, Francis

  • Stoeva, Magdalena

  • May 1, 2026

  • 0 min

Share

Objective:

To summarize current evidence on AI-assisted radiotherapy for pelvic and abdominal cancers in Africa, focusing on feasibility and implementation risks.

Key Findings:
  • AI tools can improve efficiency in auto-contouring, treatment planning, quality assurance, and workflow optimization.
  • Implementation of AI in radiotherapy is limited by digital infrastructure, workforce shortages, and regulatory gaps.
  • Risks include data bias from non-African datasets and fragile IT systems.
Interpretation:

Limitations:
  • Limited digital infrastructure in Africa.
  • Workforce shortages hinder effective implementation.
  • Weak data governance and regulatory gaps affect AI deployment.
Conclusion:

AI may enhance radiotherapy capacity in Africa when integrated within resilient systems and guided by risk-aware strategies.

Original Source(s)

ARTIFICIAL INTELLIGENCE-ASSISTED RADIOTHERAPY FOR PELVIC AND ABDOMINAL MALIGNANCIES: ASSESSING FEASIBILITY IN THE CONTEXT OF AFRICA‑SPECIFIC RISKS

  • by Fiagbedzi, Emmanuel , Acquah, George Felix, Baidoo, Alhassan Mohammed, Osei- Poku, Linda , Pokoo-Aikins, Mark , Dery, Theresa , Agyabeng, Annette , Issahaku, Shirazu , Sackey, Theophilus Akumea, Adu-Poku, Mary , Sosu, Edem Kwabla, Tagoe, Samuel Nii Adu, Addison, Eric Clement Kotei, Hasford, Francis , Stoeva, Magdalena

  • May 1, 2026

Related Content

Beyond inhibition: harnessing the DRD2–VEGF-A feedback loop for precision anti-angiogenesis therapy in cancer

PD-1 inhibitor combined with chemoradiotherapy in two cases of ovarian cancer brain metastases: a case report

From molecular networks to translational intervention: current progress in the mechanisms of gemcitabine resistance in bladder cancer