Parsa Khorrami
Papers
1
Total Citations
8
H-Index
1
About
Parsa Khorrami’s research centers on the intersection of artificial intelligence and healthcare information systems, with a focus on AI-driven decision-making frameworks. His most-cited work, a comprehensive review on this topic, has garnered 8 citations, reflecting early interest in his synthesis of emerging technologies for clinical and administrative applications. Despite a subsequent retraction, the paper initially contributed to discussions on how AI can optimize diagnostic accuracy, resource allocation, and patient outcomes within digital health infrastructures. Khorrami’s broader contributions include exploring ethical and practical challenges in deploying machine learning models in sensitive medical contexts, as well as proposing scalable architectures for real-time data processing. His work underscores the potential of AI to transform healthcare delivery, though it also highlights the need for rigorous validation and transparency. For students and researchers entering this field, Khorrami’s studies offer a cautionary yet instructive lens on the rapid evolution of AI in medicine, emphasizing both its promise and the critical importance of reproducibility and ethical oversight in high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 1