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The second ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on May 23, 2025.
The objective of the webinar was to discuss the Bias in Medical AI.
During the webinar, 10 presentations were given:
- Pankaj Pandey – Presentation of the ENFIELD project
- Bjørn Morten Hofmann – The Ethics of the Inexorable Biases in Medical AI
- Sören Möller – Pseudo-Individual Predictions as Interventional Health Programs – Shattering the Individual into Data Points
- Sofia Couto da Rocha – Synthetic Data Bias Amplification in Healthcare
- Barbara Draghi – Detect and Mitigate Bias in Patient Data Using Synthetic Data Generators
- Konstantina Remoundou – Biases in EHR Databases; a Medical vs Statistical Approach through the ICU Readmission Case
- Chiara Bellatreccia – Addressing Bias and Data Scarcity in AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images
- Panagiotis Tsakanikas – APPO – Building AI Trust through Bias Identification
- Andrei Olaru – Towards a Framework for Bias Analysis in Data
- Juulia Jylhävä – AI-Driven NLP Models to Identify Aging-Related Health Issues in Free-Text EHR Data
