A. S. Albahri

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

2023 · 643 Zit. · Information Fusion

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

2023 · 73 Zit. · International Journal of Intelligent Systems

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

2024 · 67 Zit. · Expert Systems with Applications

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

2024 · 56 Zit. · Artificial Intelligence in Medicine

Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review

2022 · 52 Zit. · Computers in Biology and Medicine

A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems

2024 · 28 Zit. · International Journal of Information Technology & Decision Making

Explainable Artificial Intelligence Multimodal of Autism Triage Levels Using Fuzzy Approach-Based Multi-criteria Decision-Making and LIME

2023 · 25 Zit. · International Journal of Fuzzy Systems

Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis

2024 · 16 Zit. · Intelligent Systems with Applications

A Systematic Review of Artificial Intelligence in Orthopaedic Disease Detection: A Taxonomy for Analysis and Trustworthiness Evaluation

2024 · 14 Zit. · International Journal of Computational Intelligence Systems

Harnessing the Tide of Innovation: The Dual Faces of Generative AI in Applied Sciences; Letter to Editor

2024 · 6 Zit. · Applied Data Science and Analysis