Embedded Files
Study smarter with AI responsibly.
Prompting examples, case labs, and ethical guardrails.
Workshop slides, Prompting examples, free courses and ethical guardrails
Why AI in Hematology?
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
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
Current Projects & Research
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
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
💬 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
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
Page updated
Report abuse