10 citations · 13 across the 3 of their papers we have counts for
4 papers
Large Language Models as Unified Multimodal Learners for Clinical Prediction
Ajay Madhavan Ravichandran, Bilgin Osmandoja, Klemens Budde +5
Electronic health records combine free-text clinical narratives with structured measurements such as vital signs, laboratory values, and comorbidities. Yet most clinical prediction…
Integrating Text and Time-Series into (Large) Language Models to Predict Medical Outcomes
Iyadh Ben Cheikh Larbi, Ajay Madhavan Ravichandran, Aljoscha Burchardt +1
Large language models (LLMs) excel at text generation, but their ability to handle clinical classification tasks involving structured data, such as time series, remains underexplor…
One Size Fits None: Rethinking Fairness in Medical AI
Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran +10
Machine learning (ML) models are increasingly used to support clinical decision-making. However, real-world medical datasets are often noisy, incomplete, and imbalanced, leading to…
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus, Ajay Madhavan Ravichandran, Sebastian Möller
The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this…