628 citations
- KTH Royal Institute of TechnologySE34 papers
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12 papers · 1 filter
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging
Eleftherios Tzanis, Michail E. Klontzas
Agentic systems built on large language models (LLMs) offer promising capabilities for automating complex workflows in healthcare AI. We introduce mAIstro, an open-source, autonomo…
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulvicius, Dajie Zhang, Luise Poustka +8
To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments…
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou
Despite recent advancements in deep learning, its application in real-world medical settings, such as phonocardiogram (PCG) classification, remains limited. A significant barrier i…
Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data
Gonzalo Uribarri, Simon Ekman von Huth, Josefine Waldthaler +2
Eye-tracking is an accessible and non-invasive technology that provides information about a subject's motor and cognitive abilities. As such, it has proven to be a valuable resourc…
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1
Giulia Di Teodoro, Martin Pirkl, Francesca Incardona +6
Motivation: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or la…
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund +7
Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individua…