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.
Session details
2024 / Warsaw, Poland
WIMC
3rd place, Cardiology session
Materials pending
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Summary
What the session covered and why it mattered.
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.
Session context
WIMC 2024
2024 / Warsaw, Poland
Conference presentation
Outcome
Recognition, result, and the talk's core takeaway.
Result
3rd place, Cardiology session
Recognition captured from the conference program and retained on the canonical talk page.
Takeaway
Evidence that risk scoring work is being shaped for practical clinical decision support rather than benchmark-only lift.
Tags
Assets
Published materials and explicit pending states.
Materials pending
Slides, posters, or supporting files have not been published for this talk yet. The canonical page is still live so the title, context, and outcome can be referenced directly.
Contact
Speaking work is most useful when it turns technical systems into clinically usable understanding.
For invitations, workshops, teaching sessions, or collaboration around clinical AI communication, email is the simplest route.
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