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

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Clinical Report: Evaluating AI-Enhanced Radiotherapy for Abdominal and Pelvic Cancers

Overview

This report evaluates the potential of AI-enhanced radiotherapy for abdominal and pelvic cancers in Africa, emphasizing the feasibility and implementation challenges. It highlights the need for a phased adoption strategy to address regional constraints.

Background

Cancer care in Africa faces significant challenges, particularly for pelvic and abdominal malignancies. Radiotherapy is crucial for treatment but is limited by inadequate infrastructure and workforce shortages. The integration of artificial intelligence (AI) may enhance radiotherapy services, potentially improving patient outcomes in resource-constrained settings.

Data Highlights

No numerical data available in the source material.

Key Findings

  • AI tools can improve efficiency in radiotherapy through automation and workflow optimization.
  • Implementation risks include limited digital infrastructure and workforce shortages in Africa.
  • Data bias from non-African training datasets poses a challenge for AI model generalizability.
  • A phased adoption strategy focusing on hybrid AI-human workflows is recommended.
  • AI has the potential to enhance access to high-quality radiotherapy when integrated within resilient systems.

Clinical Implications

Healthcare professionals should consider the specific regional challenges when implementing AI in radiotherapy. A cautious, phased approach may facilitate better integration and utilization of AI technologies in African healthcare settings.

Conclusion

AI-enhanced radiotherapy presents a promising opportunity to improve cancer care in Africa, provided that implementation strategies are carefully managed to address existing challenges.

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  2. ASTRO issues its first clinical guideline on radiation therapy for anal cancer - American Society for Radiation Oncology (ASTRO), 2025 -- https://www.astro.org/news-and-publications/news-and-media-center/news-releases/2025/astro-issues-its-first-clinical-guideline-on-radiation-therapy-for-anal-cancer?utm_source=openai
  3. ESGO-ESTRO-ESP guidelines for the management of patients with endometrial carcinoma: update 2025 - PubMed -- https://pubmed.ncbi.nlm.nih.gov/40744042/?utm_source=openai
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  10. ASTRO Guideline Focused Update on Radiation Therapy for Rectal Cancer - American Society for Radiation Oncology (ASTRO)
  11. ASTRO issues its first clinical guideline on radiation therapy for anal cancer - American Society for Radiation Oncology (ASTRO)
  12. ESGO-ESTRO-ESP guidelines for the management of patients with endometrial carcinoma: update 2025 - PubMed
  13. Clinically Localized Prostate Cancer: AUA/ASTRO Guideline Amendment (2026) - PubMed
  14. Analysis of evidence in NCCN harmonized guidelines for sub-Saharan Africa. | Journal of Clinical Oncology
  15. Compliance and Toxicity of Total Neoadjuvant Therapy in Locally Advanced Rectal Cancer: A Systematic Review and Network Meta-analysis | Annals of Surgical Oncology | Springer Nature Link
  16. Neoadjuvant chemotherapy and surgery for rectal cancer: Omission of radiation in clinical practice. | Journal of Clinical Oncology
  17. Mixed results with enzalutamide in non-metastatic prostate cancer
  18. Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
  19. Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations | FDA
  20. The Potential of AI-assistance and Explainability for Contouring of Tumors | IAEA
  21. IAEA Holds Rays of Hope Forum To Increase Access to Cancer Care | IAEA

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

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