Talks organized by year, with materials and context kept close to each entry.
This archive collects public talks, invited lectures, and conference presentations across clinical AI, nephrology, cardiology, and translational medicine.
Archive span
15 talks across 4 years
Format
Entries stay grouped chronologically for quick scanning, with materials and event context kept close to each talk.
On this page
Archive
A simple speaking archive, grouped by year.
Use the year filter to narrow the list, then open any talk page for context, outcomes, and materials.
Filters
The controls stay intentionally minimal.
Year
2026
7 talks in this year group.
From Risk Scores to Agents: What "AI" Really Means in Nephrology
A clinician-facing lecture that moves from classical risk scores and machine learning toward deep learning, retrieval, and agentic systems in nephrology.
Frames AI as a continuum of clinical tools rather than a single novelty category.
February 27, 2026 / Warsaw, Poland
XXII Warszawskie Spotkania Nefrologiczne
Award: Best Young Nephrologist Award
Forecasting ICU Acute Kidney Injury with Actionable Lead Time Using Interpretable Machine Learning: Development and Multi-Center Validation
A multi-center validation presentation on interpretable machine learning for forecasting ICU acute kidney injury with clinically actionable lead time.
Moves renal prediction from retrospective risk labeling toward earlier, interpretable warning that can support bedside decisions.
2026 / Warsaw, Poland
WIMC 2026
Generative Echocardiography from ECG and Clinical Context: Uncertainty-Aware Synthesis of a Full 9-View Echo Study
A generative multimodal AI presentation on synthesizing a full nine-view echocardiography study from ECG and clinical context with uncertainty awareness.
Extends cardiac multimodal modeling from parameter prediction toward uncertainty-aware image synthesis and clinically legible review.
2026 / Warsaw, Poland
WIMC 2026
Award: 3rd place, PhD session
CheXGPT: A Multimodal Reasoning Language Model for Chest X-Ray Labelling and Report Generation
A mentee-presented multimodal reasoning model for chest X-ray labelling and report generation.
Shows how supervised mentorship work can turn medical vision-language models into concrete radiology reporting tasks.
2026 / Warsaw, Poland
WIMC 2026
Chest X-Ray-Predicted Age as a Biomarker for Mortality: Development and Validation of a Deep Learning Model
A mentee-presented deep learning project validating chest X-ray-predicted age as an imaging biomarker for mortality.
Uses radiographic aging as a clinically interpretable bridge between image-derived representation learning and mortality risk.
2026 / Warsaw, Poland
WIMC 2026
Award: 1st place, Radiology session
CardioAtlas: An Evidence-Grounded, Multimodal Agentic AI Co-Pilot for Cardiologists
A mentee-presented agentic AI co-pilot for cardiology, grounded in evidence and multimodal clinical context.
Positions agentic AI as a clinical reasoning layer that must stay grounded in evidence, context, and cardiology workflow.
2026 / Warsaw, Poland
WIMC 2026
Award: 2nd place, Cardiology session
Multimodal Deep Learning Model to Differentiate Viral from Bacterial Pneumonia Using CXR and Early Clinical Data
A mentee-presented multimodal model combining chest X-ray and early clinical data to distinguish viral from bacterial pneumonia.
Connects early clinical variables with imaging so pneumonia classification can be framed closer to the first decision point.
2026 / Warsaw, Poland
WIMC 2026
Award: 1st place, Infectious Diseases session; reached Preliminary session
Contact
Open to talks, workshops, and teaching sessions that make clinical AI legible.
If the audience is clinical, translational, or multidisciplinary and the topic overlaps with prediction, multimodal systems, nephrology, or applied AI infrastructure, email is the simplest route.
On this page