RESEARCHER PROFILE

Ali M. Duhaim

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University of Information Technology and Communications

Retinal Imaging and AnalysisOphthalmology and Visual Health ResearchEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Ali M. Duhaim works in Retinal Imaging and Analysis, Ophthalmology and Visual Health Research, Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI), Advanced Neural Network Applications. Recorded institutional associations include University of Information Technology and Communications, Ministry of Education.

11Publications
1,162Citations
6H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

    2023 · 716 citations

  2. Comprehensive systematic review of information fusion methods in smart cities and urban environments

    2024 · 223 citations

  3. Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis

    2024 · 93 citations

  4. Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach

    2024 · 75 citations

  5. A comprehensive review of deep learning power in steady-state visual evoked potentials

    2024 · 28 citations

  6. Cheating Detection in Online Exams during Covid-19 Pandemic Using Data Mining Techniques

    2022 · 22 citations

  7. Developing a trustworthy and explainable framework for classifying skin lesions through transfer learning and attention mechanisms

    2026 · 6 citations

  8. A Hybrid Deep Learning Framework for Multi-Class Retinal Disease Classification

    2026 · 1 citations

  9. A trustworthy cross-domain AI framework for fundus disease classification using hybrid CNN fusion and supervised domain adaptation

    2026 · 0 citations

  10. Towards trustworthy and explainable AI for ocular disease diagnosis using an ontology-guided neuro-symbolic framework

    2026 · 0 citations

  11. Trustworthiness in AutoML: a multi-query systematic review of frameworks, tools, ethical dimensions, and research gaps

    2026 · 0 citations

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