67 citations
- Karolinska InstitutetSE5 papers
- KTH Royal Institute of TechnologySE2 papers
- New York UniversityUS2 papers
- University of BoråsSE2 papers
- Institute of Bioorganic ChemistryBY1 paper
- Queen Mary University of LondonGB1 paper
- Science for Life LaboratorySE1 paper
- Stockholm South General HospitalSE1 paper
- Swedish University of Agricultural SciencesSE1 paper
- Universidad Politécnica de MadridES1 paper
- University of BirminghamGB1 paper
- University of GothenburgSE1 paper
10 papers
From Black Box to Glass Box: Cross-Model ASR Disagreement to Prioto Review in Ambient AI Scribe Documentation
Abdolamir Karbalaie, Fernando Seoane, Farhad Abtahi
Ambient AI "scribe" systems promise to reduce clinical documentation burden, but automatic speech recognition (ASR) errors can remain unnoticed without careful review, and high-qua…
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…
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger +9
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low s…
Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport
Jingru Fu, Yuqi Zheng, Neel Dey +2
Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image is challenging, as it requires accounting for canonical changes in aging and/or di…