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Author

Ali M. Duhaim

ORCID: 0009-0003-3412-4087
Observed ORCID: 0009-0003-3412-4087
OpenAlex ID: A5064105311
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
2023 · A.S. Albahri, Ali M. Duhaim, et al. · Information Fusion · 816
Comprehensive systematic review of information fusion methods in smart cities and urban environments
2024 · Mohammed A. Fadhel, Ali M. Duhaim, et al. · Information Fusion · 243
Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis
2024 · Mohammed A. Fadhel, Ali M. Duhaim, et al. · Artificial Intelligence Review · 107
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Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
2024 · M.A. Alsalem, A.H. Alamoodi, et al. · Expert Systems with Applications · 87
A comprehensive review of deep learning power in steady-state visual evoked potentials
2024 · Z. T. Al-Qaysi, A. S. Albahri, et al. · Neural Computing and Applications · 30
Cheating Detection in Online Exams during Covid-19 Pandemic Using Data Mining Techniques
2022 · Ali M. Duhaim, Safaa O. Al-mamory, et al. · Webology · 26
Developing a trustworthy and explainable framework for classifying skin lesions through transfer learning and attention mechanisms
2026 · Ali M. Duhaim, Noor S. Baqer, et al. · Computational Biology and Chemistry · 7
A Hybrid Deep Learning Framework for Multi-Class Retinal Disease Classification
2026 · Ali M. Duhaim, Abbas M. Al-Bakry · AUIQ technical engineering science. · 1
A trustworthy cross-domain AI framework for fundus disease classification using hybrid CNN fusion and supervised domain adaptation
2026 · Ali M. Duhaim, Abbas M. Al-Bakry · Discover Artificial Intelligence
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Towards trustworthy and explainable AI for ocular disease diagnosis using an ontology-guided neuro-symbolic framework
2026 · Ali M. Duhaim, Abbas M Al-Bakry · Biomedical Signal Processing and Control
Trustworthiness in AutoML: a multi-query systematic review of frameworks, tools, ethical dimensions, and research gaps
2026 · A. S. Albahri, Rula A. Hamid, et al. · International Journal of Data Science and Analytics
Works count: 11
Citation count: 1,317
H-index: 7
I10-index: 6
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