Recognition
3rd place, Cardiology session
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WIMC 2024
A Novel and Contemporary Machine-Learning Based Score to Assess Bleeding in AF Patients Undergoing OAC Treatment
A machine-learning based bleeding-risk score for atrial fibrillation patients receiving oral anticoagulation.
- 2024
- Warsaw, Poland
- Conference presentation
Awarded
Session details
A compact record of the presentation context and public material.
- WIMC
- 3rd place, Cardiology session
- No public assets
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Summary
What the session covered and why it mattered.
A compact detail template for conference presentations without public long-form notes.
This presentation introduced a contemporary bleeding-risk score for anticoagulated atrial fibrillation patients. The emphasis was on clinically usable stratification and transparent framing of risk in a treatment setting where tradeoffs matter.
Evidence that risk scoring work is being shaped for practical clinical decision support rather than benchmark-only lift.
Session context
- WIMC 2024
- 2024
- Warsaw, Poland
- Conference presentation
Outcome
Recognition, result, and the talk's core takeaway.
Award details stay visible when present, while non-awarded talks keep a complete canonical record.
Takeaway
Evidence that risk scoring work is being shaped for practical clinical decision support rather than benchmark-only lift.
Topic map
cardiologyatrial fibrillationbleeding riskrisk score
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