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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Rejoicing Chijindum Innocent

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Review Open access Sep 2026

Convolutional neural networks for medical imaging in resource-constrained settings: a scoping review of architectures, performance, and deployment challenges

Background Convolutional neural networks (CNNs) have emerged as powerful artificial intelligence tools for medical image analysis, demonstrating substantial improvements in disease detection, classification, and diagnostic support. Despite increasing evidence regarding their clinical performance, implementation within...

D. C. Innocent, R. C. Innocent, Increase Praise Innocent · 0 citations
Review Open access Sep 2026

Machine learning models in clinical decision support systems: a scoping review

Machine learning (ML) has increasingly been integrated into clinical decision support systems (CDSS) to improve diagnostic accuracy and clinical decision-making. However, variability in performance, adoption, and implementation across healthcare settings necessitates comprehensive evidence synthesis. This scoping revie...

D. C. Innocent, R. C. Innocent, Increase Praise Innocent · 0 citations
Review Open access Aug 2026

Explainable AI for differential diagnosis of skin-manifesting neglected tropical diseases (NTDS) in darker skin tones

Skin-manifesting neglected tropical diseases (NTDs) pose significant diagnostic challenges due to overlapping clinical presentations and limited access to specialist care in endemic regions. Artificial intelligence (AI) has shown promise in dermatological diagnosis; however, concerns remain regarding algorithmic bias,...

D. C. Innocent, Precious Ebube Anyakorah, Rejoicing Chijindum Innocent et al. · 0 citations
Review Open access Aug 2026

Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings

Artificial intelligence has considerable potential to improve NTD diagnosis in low-resource settings, but successful adoption depends on trust, transparency, and usability, so a proposed framework provides a structured pathway for developing explainable AI systems that are technically robust, clinically meaningful, eth...

D. C. Innocent, R. C. Innocent, Increase Praise Innocent · 0 citations

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