A systematic review of intermediate fusion in multimodal deep learning for biomedical applications
Deep learning has revolutionized biomedical research by providing sophisticated methods
to handle complex, high-dimensional data. Multimodal deep learning (MDL) further …
to handle complex, high-dimensional data. Multimodal deep learning (MDL) further …
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
With the increasing availability of diverse healthcare data sources, such as medical images
and electronic health records, there is a growing need to effectively integrate and fuse this …
and electronic health records, there is a growing need to effectively integrate and fuse this …
[HTML][HTML] Multimodal explainability via latent shift applied to COVID-19 stratification
We are witnessing a widespread adoption of artificial intelligence in healthcare. However,
most of the advancements in deep learning in this area consider only unimodal data …
most of the advancements in deep learning in this area consider only unimodal data …
[HTML][HTML] A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical
challenge, especially when the ART includes drugs with limited effectiveness data. This …
challenge, especially when the ART includes drugs with limited effectiveness data. This …
[HTML][HTML] Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes
The COVID-19 pandemic has caused millions of cases and deaths and the AI-related
scientific community, after being involved with detecting COVID-19 signs in medical images …
scientific community, after being involved with detecting COVID-19 signs in medical images …
[HTML][HTML] An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images
Abstract Higher-Level Gait Disorder (HLGD) is a type of gait disorder estimated to affect up
to 6% of the older population. By definition, its symptoms originate from the higher-level …
to 6% of the older population. By definition, its symptoms originate from the higher-level …
Machine learning predicts pulmonary Long Covid sequelae using clinical data
E Cordelli, P Soda, S Citter, E Schiavon… - BMC Medical Informatics …, 2024 - Springer
Long COVID is a multi-systemic disease characterized by the persistence or occurrence of
many symptoms that in many cases affect the pulmonary system. These, in turn, may …
many symptoms that in many cases affect the pulmonary system. These, in turn, may …
Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers
The widespread adoption of electronic health records (EHRs) offers a valuable opportunity
to support clinical research by containing crucial patient information, including diagnoses …
to support clinical research by containing crucial patient information, including diagnoses …
Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer
Lung cancer has the highest mortality rate among tumours and an accurate pathological
assessment is crucial to deliver personalized treatments to patients. The gold standard for …
assessment is crucial to deliver personalized treatments to patients. The gold standard for …
Stage I Stereotactic Body Radiation Therapy Outcome's Prediction Models: Perfection Is the Enemy of Utility
The introduction of stereotactic body radiation therapy (SBRT) for patients with early stage
lung cancer definitively increased the chances of survival of a large part of the oncological …
lung cancer definitively increased the chances of survival of a large part of the oncological …