Mehmet Cem Sabaner

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About

Dr. Mehmet Cem Sabaner is a pioneering ophthalmology researcher whose work bridges cutting-edge artificial intelligence with clinical eye care. His primary research areas include AI-driven diagnostics, natural language processing (NLP) applications in medicine, and the integration of chatbot technologies into ophthalmology. His landmark narrative review, "Opportunities and Challenges of Chatbots in Ophthalmology" (2024, 18 citations), provides a comprehensive analysis of how NLP-based chatbots—the most accessible AI tools—are transforming patient triage, education, and follow-up care. Dr. Sabaner critically examines the potential of machine learning, deep learning, and neural networks to enhance diagnostic accuracy while addressing key challenges like data privacy and algorithmic bias. This work has become a foundational reference for researchers exploring AI-human interaction in clinical settings. His contributions are particularly notable for demystifying complex AI technologies for practicing ophthalmologists and highlighting practical implementation pathways. With growing citation impact, Dr. Sabaner is recognized as a forward-thinking voice in digital ophthalmology, advocating for responsible AI adoption that prioritizes patient safety and equitable access. His research continues to shape how clinicians and developers collaborate to build smarter, more empathetic eye care systems.