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03/27/2023
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Machine Learning (ML) has recently shown tremendous success in modeling ...
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10/12/2022
Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients
Unrecognized patient deterioration can lead to high morbidity and mortal...
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07/14/2022
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
Multi-modal fusion approaches aim to integrate information from differen...
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11/04/2021
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
The healthcare domain is characterized by heterogeneous data modalities,...
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08/10/2021
Meta-repository of screening mammography classifiers
Artificial intelligence (AI) is transforming medicine and showing promis...
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07/14/2021
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Despite the success of deep neural networks in chest X-ray (CXR) diagnos...
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11/28/2020
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study
Existing prognostic tools mainly focus on predicting the risk of mortali...
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08/04/2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
During the COVID-19 pandemic, rapid and accurate triage of patients at t...
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12/01/2019