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Dental Student • Founder, Witty Dentist • Creator & Editor, ODONTYNE

Building a focused professional path at the intersection of AI in Dentistry, Digital Dentistry, Clinical AI, evidence, and clinical decision-making.

From algorithms to clinical value.

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Clinical Foundation

Dentistry at Ankara Medipol University, supported by prior academic training in Biology and Parasitology.

Research Direction

Dental AI, AI-assisted diagnostics, clinical decision support, human–AI collaboration, validation, and evidence quality.

Building & Publishing

Founder of Witty Dentist and Creator & Editor of ODONTYNE — connecting evidence, technology, and real-world adoption.

Global Perspective

Interested in international research, university–industry collaboration, dental technology, and clinically meaningful innovation across markets.

About

I am a dental student at Ankara Medipol University building my professional and academic path around the future of dentistry — particularly the role of Artificial Intelligence in Dentistry, Digital Dentistry, Clinical AI, and evidence-based healthcare innovation.

My academic background spans Biology, Parasitology, and Dentistry. That progression has shaped the way I approach emerging technology: not as novelty, but as something that must ultimately be examined through biology, methodology, evidence, clinical relevance, safety, workflow, and patient impact.

I am especially interested in a question that sits at the center of clinical AI:

What should an AI system be able to prove before it earns a meaningful place in clinical decision-making?

That question shapes much of my current reading, writing, research interest, and professional development.

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I do not approach Dental AI simply as a collection of tools or performance scores. I am interested in the full pathway from data and reference standards to validation, human interpretation, workflow integration, clinical decisions, and patient outcomes.

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Current direction: strengthening my clinical foundations in dentistry while developing deeper expertise in Dental AI evaluation, evidence interpretation, digital workflows, research communication, and the translation of emerging technologies into meaningful clinical value.

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Current Focus

AI in Dentistry

• AI-assisted diagnostics
• Dental imaging and clinical AI
• Clinical decision support
• Human–AI collaboration
• Appropriate reliance and automation bias

Evidence & Translation

• Reference standards and ground truth
• External validation and generalizability
• Clinical utility and patient impact
• Digital dentistry and workflow integration
• Research–industry translation

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Professional thesis: Better algorithms are not enough. The future of Dental AI depends on whether technology can become clinically meaningful, evidence-based, trustworthy, and usable inside real dental workflows.

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From Algorithms to Clinical Value

Clinical AI framework — from clinical need to evidence, human–AI decision-making, and real clinical value.

Clinical AI framework — from clinical need to evidence, human–AI decision-making, and real clinical value.

ODONTYNE — Evidence-Based Perspectives on Dental AI