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🩺 AI in Medicine: For Clinicians
🩺 AI in Medicine: For Clinicians
This page is designed for clinicians who want to integrate AI into patient care, decision-making, and clinical research.
Here you’ll find tools, examples, and ethical guidance to use AI wisely at the bedside and beyond.
🩺 Why This Matters
🩺 Why This Matters
Artificial Intelligence is rapidly moving from research labs into clinics, reshaping diagnostics, treatment planning, and patient communication.
For clinicians, AI is not about replacing judgment.
It is about supporting decision-making, saving time, and opening new frontiers in personalized care.
Free AI Courses to start
Free AI Courses to start
🧠Clinical Decision Support with AI
🧠Clinical Decision Support with AI
AI tools can assist in interpreting data, suggesting differential diagnosis and work-up, summarizing guidelines, and generating structured notes.
Examples in hematology and oncology:
Risk stratification in AML and CLL using guideline-based prompts
Diagnostic support for bone marrow and cytogenetics reports
Imaging analysis for lymphoma, myeloma, or CNS complications
📌 Highlight Prompts
“You are a hematology consultant. Summarize the ELN 2025 AML guidelines in ≤200 words, focusing on frontline therapy choices.”
“Interpret this structured bone marrow aspirate report into a concise clinical note with diagnosis, differential, and next steps.”
Get this prompt that follows the EU-AI-Act, which creates a clear and organized clinical reasoning report (including summary, differential, tests, red flags, and recommendations) along with an auditable AI Use Statement.
It does not replace clinical judgment.
Decision-support only; verify and document
👉
🎯AI augments clinical reasoning; final decisions remain with the clinician
👉
Anatomy of a Good Prompt
Anatomy of a Good Prompt
Formula: WHO + WHAT + CONTEXT + FORMAT + DEPTH
Essential ChatGPT Guide for Healthcare Professionals - Free Download
"Evidence-based prompting strategies with real medical examples. Covers patient communication, research assistance, and clinical documentation. Includes a quick-reference checklist for daily use
Master AI prompting for medicine in under 10 minutes.
🚩Guidelines
🚩Guidelines
WHO. Ethics and Governance of Artificial Intelligence for Health (2021). World Health Organization
WHO. Ethics and Governance Guidance for Large Multimodal Models in Health (2024/2025). World Health Organization+1
UNESCO. Recommendation on the Ethics of Artificial Intelligence (2021) – values, principles, policy action areas. UNESCO
European Parliament. EU AI Act: first regulation on artificial intelligence (overview & timelines). European Parliament
European Commission (DG SANTE). Artificial Intelligence in healthcare (AI Act + high-risk obligations). Public Health
Aboy et al. Navigating the EU AI Act: implications for regulated digital medical products (open-access). PMC
MDCG 2025-6. Interplay between the Medical Device framework and the AI Act (guidance). Public Health
⚖️ Ethics & Safety for Clinicians
⚖️ Ethics & Safety for Clinicians
🧑⚕️Before using AI at the bedside:
Bias Awareness: models may underperform on rare diseases or non-Western datasets
Data Privacy: never input identifiable patient data into open/public tools
Regulatory Boundaries: EMA, FDA, and Hellenic guidelines limit AI as a supportive, not autonomous tool
🔍 Quick Safety Checklist:
Did I cross-check with official guidelines?
Is the AI output transparent and referenced?
Would I be confident explaining this to a patient or peer?
AI Use Log (Google Doc Template)
Using AI responsibly means being transparent about how you used it and what you changed. This log helps you track your prompts, AI outputs, what you verified, and your final answer. Think of it as a lab notebook for AI: it shows your reasoning process, protects you against uncritical copying, and aligns with best practices in academic integrity and future clinical documentation standards.
👉 [Make a copy of the AI Use Log Template]
🌐 Reflection & Community
🌐 Reflection & Community
AI in medicine is an ongoing journey. Consider:
Where can AI meaningfully save you time without compromising patient safety?
Which tasks should remain purely human?
💬 Share your reflections and case experiences with colleagues. This page will grow with clinician feedback and lived practice.
✨ Final Thought
✨ Final Thought
AI is a partner, not a replacement. The clinician’s role, i.e. judgment, empathy, accountability, remains irreplaceable.
What AI offers is speed, structure, and perspective. When used responsibly, it can help you deliver safer, more personalized care while staying at the forefront of medicine.
📍 This hub was created by Eleftheria Hatzimichael, MD, PhD to guide clinicians in responsibly navigating AI in hematology and medicine.
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