Mohamed Kissi

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About

Dr. Mohamed Kissi is a leading researcher at the intersection of artificial intelligence, explainable systems, and medical diagnostics. His work focuses on developing transparent, rule-based expert systems that not only diagnose diseases but also provide human-understandable explanations for their decisions—a critical advancement for trust in AI-driven healthcare. In his most cited work, "Design and development of a fuzzy explainable expert system for a diagnostic robot of COVID-19" (2023, 4 citations), Dr. Kissi tackles the challenge of making machine reasoning accessible to clinicians and patients. This system integrates fuzzy logic with explainable AI (XAI) principles, ensuring that diagnostic rules are expressed in natural language rather than opaque machine code. By bridging the gap between complex algorithmic inference and clinical interpretability, his research addresses a fundamental barrier to the adoption of AI in medicine. Dr. Kissi’s contributions are particularly notable for their focus on real-world deployment, as his expert systems are designed for integration into diagnostic robots. His work continues to shape the development of trustworthy, transparent AI tools that empower healthcare professionals and improve patient outcomes.