O. S. Albahri

About

O. S. Albahri is a leading researcher at the intersection of artificial intelligence, healthcare, and robotics, with a primary focus on trustworthy and explainable AI. Their most impactful work, a 2023 systematic review on trustworthy and explainable AI in healthcare, has garnered over 666 citations, establishing a foundational framework for assessing quality, bias risk, and data fusion in medical AI systems. Albahri has also made significant contributions to autism spectrum disorder diagnosis, developing AI-based approaches for improved triage and prioritization, as well as advancing automatic vision-based assessment systems from a robotics and AI perspective. Their recent work explores the integration of EEG sensor data fusion with fuzzy decision-making to enhance trust and explainability in robotic hand control. With a growing citation impact exceeding 750 total citations, Albahri’s research is shaping the future of responsible AI deployment in critical healthcare and robotic applications, emphasizing transparency, reliability, and ethical considerations in autonomous systems.

Research Focus

Key Achievements

Top Papers

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

   666 citations · 2023
2. 2
   Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues

   60 citations · 2023
3. 3
   Robotics Utilization in Automatic Vision-Based Assessment Systems From Artificial Intelligence Perspective: A Systematic Review

   27 citations · 2022
4. 4
   Trust and explainability in robotic hand control via adversarial multiple machine learning models with EEG sensor data fusion: A fuzzy decision-making solution

   2 citations · 2025

Key Collaborators

Contact & Links