Masoud Khani
Scholar

Masoud Khani

Google Scholar ID: ZG0Wlq0AAAAJ
University of Wisconsin-Milwaukee
AIMachine learningXAIAdvance Predictive modelingClinical Data Science
Citations & Impact
All-time
Citations
44
 
H-index
3
 
i10-index
1
 
Publications
19
 
Co-authors
2
list available
Resume (English only)
Background
  • Ph.D. candidate in Biomedical and Health Informatics at the University of Wisconsin-Milwaukee
  • Focuses on AI-driven healthcare solutions, particularly modeling Electronic Health Records (EHR) to predict clinical outcomes, uncover risk factors, and support personalized care
  • Expertise includes Explainable AI (XAI), human-in-the-loop machine learning, Large Language Models (LLMs) for medical text analysis, medical image processing, neural signal analysis, and social determinants of health analytics
  • Committed to enhancing AI interpretability and trustworthiness so healthcare professionals can understand and rely on AI insights
  • Passionate about advancing healthcare through cutting-edge technology and interdisciplinary collaboration