University of Health and Allied Sciences

The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers

Benard Ohene Botwe, Theophilus N. Akudjedu, William K. Antwi et al.

2021 · 76 Zit.

Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach

Iddrisu Salifu, Francis Arthur, Valentina Arkorful et al.

2024 · 73 Zit.

Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study

Benard Ohene Botwe, William K. Antwi, Samuel Arkoh et al.

2021 · 69 Zit.

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

William K. Antwi, Theophilus N. Akudjedu, Benard Ohene Botwe

2021 · 67 Zit.

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena et al.

2023 · 49 Zit.

Impact of artificial intelligence on clinical radiography practice: Futuristic prospects in a low resource setting

A.-R. Wuni, Benard Ohene Botwe, Theophilus N. Akudjedu

2021 · 33 Zit.

Fostering research integrity in sub-Saharan Africa: challenges, opportunities, and recommendations

Luchuo Engelbert Bain, Larissa Ange Tchuisseu‐Kwangoua, Oluwafemi Adeagbo et al.

2022 · 24 Zit.

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

Eric Naab Manson, Francis Hasford, Christoph Trauernicht et al.

2023 · 19 Zit.

Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review

Samuel Arkoh, Theophilus N. Akudjedu, Cletus Amedu et al.

2024 · 7 Zit.

Author Correction: Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena et al.

2023 · 5 Zit.

Principles for enhancing trust in artificial intelligence systems among medical imaging professionals in Ghana: A nationwide cross-sectional study

Andrew Donkor, Dennis Kumi, Emmanuel Amponsah et al.

2025 · 4 Zit.

A snapshot of unreported radiographs, image interpretation turn-around times and implications for radiography practice in a resource-constrained setting

Bismark Ofori-Manteaw, Patience Nyamekye Agyemang, Eric Kwasi Ofori et al.

2025 · 2 Zit.

Resurging COVID-19 as a global concern, and the role of artificial intelligence: what it means for healthcare measures including oncology?

Snehasish Mishra, Puneet Kumar Singh, Aurobinda Rout et al.

2025 · 1 Zit.

Diagnostic accuracy of AI-assisted chest radiographs in tuberculosis screening: A Ghanaian clinical study

Derick Seyram Sule, Kofi Adesi Kyei, William K. Antwi et al.

2026 · 1 Zit.

Ghanaian radiographers’ perspectives on participating in preliminary image evaluation: A qualitative study

Bismark Ofori-Manteaw, Eric Kwasi Ofori, Klenam Dzefi‐Tettey et al.

2025 · 1 Zit.