9 citations · 9 across the 2 of their papers we have counts for
4 papers
AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
Fardin Afdideh, Mehdi Astaraki, Fernando Seoane +1
Machine learning systems deployed in medical devices require governance frameworks that ensure safety while enabling continuous improvement. Regulatory bodies including the FDA and…
Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
Farhad Abtahi, Fernando Seoane, Iván Pau +1
Healthcare AI systems face major vulnerabilities to data poisoning that current defenses and regulations cannot adequately address. We analyzed eight attack scenarios in four categ…
Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
Farhad Abtahi, Mehdi Astaraki, Fernando Seoane
Bias in medical artificial intelligence is conventionally viewed as a defect requiring elimination. However, human reasoning inherently incorporates biases shaped by education, cul…
HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
Eduardo Illueca-Fernandez, Kaile Chen, Fernando Seoane +1
Process mining has emerged as a powerful analytical technique for understanding complex healthcare workflows. However, its application faces significant barriers, including technic…