Alhamzah Alnoor

Southern Technical University

Papers

1

Total Citations

666

H-Index

1

About

Dr. Alhamzah Alnoor is a leading voice in the intersection of artificial intelligence and healthcare, with a primary focus on trustworthy and explainable AI systems. His most cited work, a systematic review on trustworthy and explainable AI in healthcare, has garnered over 660 citations, reflecting its critical role in shaping how researchers assess quality, bias risk, and data fusion in medical AI applications. Dr. Alnoor’s contributions extend to advancing frameworks that ensure AI models are not only accurate but also transparent and ethically sound, addressing key challenges in clinical decision-making. His research has been instrumental in developing methodologies for evaluating AI reliability, particularly in high-stakes healthcare environments. Recognized for his rigorous approach to data fusion and bias mitigation, Dr. Alnoor’s work continues to influence both academic discourse and practical implementations, making him a pivotal figure in the drive toward responsible AI deployment in medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
666
Total Citations
666
Avg Citations/Paper
🏆 Most Cited Paper
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
666 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Southern Technical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago