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DOI 10.1016/j.ejmp.2026.107171

Медицинская библиотека · 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) · 2026

Emerging technologies in medical physics: the role of artificial intelligence in medical imaging and potential adoption in Ghana.

Pokoo-Aikins Mark, Hasford Francis, Dery Theresa Bebaaku, Sosu Edem Kwabla, Sackey Theophilus Akumea, Poku Linda Osei, Issahaku Shiraz, Boadu Mary, Agyabeng Annette, Sarsah Lawrence Akonor, Asamanyuah Belinda Buermle, Akyea-Larbi Kofi Okyere, Asibey Lordina Owusuwaa, Djan Bismark

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Аннотация

BACKGROUND

Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intelligence (AI) could improve diagnostic accuracy, workflow efficiency, and access, but real-world adoption is early.

OBJECTIVE

Assess Ghana's readiness to adopt AI in medical imaging, identify pathways and barriers, and propose a phased, context-specific roadmap.

METHODS

A review of peer-reviewed and grey literature (2012-March 2025) using PubMed, IEEE Xplore, Scopus, Google Scholar, and Ghanaian institutional documents. The review emphasizes imaging AI, LMIC experiences, and Ghana-specific evidence on infrastructure, policy, and pilots, distinguishing Ghana-based findings from international evidence extrapolated to Ghana.

RESULTS

Major gaps include digital infrastructure (limited PACS, variable DR/CR adoption, uneven connectivity), financing (license and maintenance costs), governance (SaMD pathways exist but AI-specific provisions are evolving; operational data protection needs strengthening), and workforce (limited AI literacy; urban - rural disparities). Ghana-relevant touchpoints include MinoHealth.AI chest radiography evaluations, the national imaging equipment inventory, Ghana Health Service digital health strategy (2023-2027), and FDA SaMD guidance. A phased roadmap is proposed: establish PACS and connectivity; implement AI governance and data stewardship; run targeted pilots in CXR triage, low-dose CT, and MRI acceleration; scale via public-private partnerships and pooled procurement; and sustain workforce development with human-in-the-loop oversight.

CONCLUSIONS

AI can improve equity and efficiency in imaging in Ghana if adoption builds on strong digital foundations, robust governance, local validation, and clinician-led implementation. Priorities include PACS deployment, AI-specific regulatory strengthening, ethical data governance, and capacity building to support safe, equitable, and sustainable use.

Для цитирования: Pokoo-Aikins Mark, Hasford Francis, Dery Theresa Bebaaku, Sosu Edem Kwabla, Sackey Theophilus Akumea, Poku Linda Osei, Issahaku Shiraz, Boadu Mary, Agyabeng Annette, Sarsah Lawrence Akonor, Asamanyuah Belinda Buermle, Akyea-Larbi Kofi Okyere, Asibey Lordina Owusuwaa, Djan Bismark. Emerging technologies in medical physics: the role of artificial intelligence in medical imaging and potential adoption in Ghana.. 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). 2026. DOI: 10.1016/j.ejmp.2026.107171.

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