A. H. Alamoodi

Papers

Total Citations

726

H-Index

About

Dr. A. H. Alamoodi is a leading researcher at the intersection of artificial intelligence and healthcare, with a primary focus on trustworthy AI, explainable systems, and medical diagnostics. Their most impactful contribution is a landmark systematic review on trustworthy and explainable AI in healthcare, which has garnered 666 citations—a testament to its foundational role in guiding quality assessment, bias risk evaluation, and data fusion methodologies in clinical AI applications. Dr. Alamoodi has also made significant strides in autism spectrum disorder (ASD) research, authoring a highly cited systematic review that explores AI-driven approaches for improving diagnosis, triage, and prioritization. This work addresses critical gaps in early detection and resource allocation, highlighting the potential of machine learning to enhance clinical workflows. By synthesizing vast bodies of evidence and identifying open challenges, Dr. Alamoodi’s research provides essential frameworks for developing ethical, reliable, and effective AI tools in medicine. Their work not only advances technical rigor but also promotes responsible innovation, making them a pivotal figure in shaping the future of AI-assisted healthcare.