AI &Medicine Hub

My AI Philosophy

I didn't come to Artificial Intelligence from the tech world. I came from the bedside.

From years of diagnosing, treating, and sitting with patients through uncertainty. From research that taught me how much we still don't know. From teaching, where I saw how the next generation of doctors is hungry not just for knowledge, but for meaning.

AI entered my practice not as a revolution, but as a question: Can this tool help me care better?

I believe it can, but only if we set the terms.

AI should sharpen our clinical thinking, not replace it. It should surface patterns we might miss, accelerate research we couldn't do alone, and free us to spend more time where it matters most: with the person in front of us.

But technology without reflection is reckless. And efficiency without empathy is not medicine.

That's why I advocate for AI literacy, not just technical skills, but critical thinking about what AI should and shouldn't do in healthcare. Every algorithm carries assumptions. Every dataset has blind spots. Every output needs a human mind to interpret it, and a human heart to apply it.

Keep Medicine Human. Use AI Wisely.

This means teaching students to question before they prompt. It means helping clinicians adopt tools without losing their judgment. It means building research that serves patients, not just publications.

AI is not the future of medicine. We are. AI is one of the tools we'll carry with us, if we learn to hold it well.

For Students

Study smarter with AI responsibly.
Prompting examples, case labs, and ethical guardrails.

For Clinicians & Researchers

Workshop slides, Prompting examples, free courses and ethical guardrails

Why AI in Hematology?

Not just what AI can do, but what it should do.

Artificial Intelligence is changing the landscape of medicine. But in Hematology, where clinical judgment, data, and human vulnerability intersect, AI must be more than a tool; it must be a responsible ally.

I’m not interested in hype, but in meaning.

In how AI can help us diagnose earlier, understand more deeply, and support clinical trials and care pathways with transparency and empathy.

Our goal? To teach new generations not just to use AI but to question it, interpret it, and ultimately shape it wiser.

Teaching AI to Future Doctors

Helping tomorrow’s doctors speak the language of both algorithms and patients.

As an educator, I believe AI literacy is part of modern medical literacy. In my courses and workshops, I guide students to explore:

The fundamentals of AI and machine learning
Ethics, bias, and explainability in clinical algorithms
How AI can support, not replace clinical decision-making
Prompt design and human–AI collaboration in education

Erasmus + BIP Artificial Intelligence in Medicine

Current Projects & Research

From code to clinic, always with people at the center.

AI & Myelodysplastic Syndromes (MDS)

Working within the Hellenic Society of Hematology’s AI in MDS Group to develop models for diagnosis and risk stratification.
AI in Clinical Trials

Exploring how predictive tools can improve patient selection, design efficiency, and safety monitoring, particularly in AML, CLL, and rare hematologic entities.
Educational AI Agents

Investigating how large language models can support clinical education, enhance student engagement, and promote reflective learning.

My Philosophy: Responsible AI

I believe in four guiding principles:

Transparency: Algorithms must be interpretable and auditable
Context: No output makes sense without clinical nuance.
Empathy: Tools must strengthen, not replace human relationships.
Accountability: AI should be held to ethical and clinical standards.

Would you use this tool on someone you love?

if not, we need to think again.

💬 Invitation to Collaborate

This is not a closed conversation; it’s an open invitation.

If you are a student, clinician, researcher, or simply curious about the role of AI in medicine, I invite you to connect. Let’s think together, teach together, and shape a future where technology supports the values we hold as physicians and human beings.

For speaking invitations, collaborations, or workshops, feel free to reach out.

Integrating Artificial intelligence in cancer care

2nd Synergies Forum on Cancer Policy, Research & Funding Strategies, Athens, Greece , 30/6-1/7

30/6-1/7 2025, Αθήνα

Knowledge becomes meaningful when it returns to people

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