Laith Alzubaidi

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

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

2024 · 57 Zit. · Artificial Intelligence in 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

FracNet: An end-to-end deep learning framework for bone fracture detection

2025 · 23 Zit. · Pattern Recognition Letters

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 Concise Review on Deep Learning for Musculoskeletal X-ray Images

2022 · 6 Zit.

Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study

2021 · 3 Zit. · Advances in intelligent systems and computing