Survey of explainable AI techniques in healthcare
Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …
[HTML][HTML] The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …
machine learning and artificial intelligence systems are crucial for building trust in their …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …
healthcare applications, both clinical and remote, but the best performing AI systems are …
A review of interpretable ML in healthcare: taxonomy, applications, challenges, and future directions
We have witnessed the impact of ML in disease diagnosis, image recognition and
classification, and many more related fields. Healthcare is a sensitive field related to …
classification, and many more related fields. Healthcare is a sensitive field related to …
COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
A quantitative approach for the comparison of additive local explanation methods
Local additive explanation methods are increasingly used to understand the predictions of
complex Machine Learning (ML) models. The most used additive methods, SHAP and LIME …
complex Machine Learning (ML) models. The most used additive methods, SHAP and LIME …
Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead
The integration of deep learning (DL) into co-clinical applications has generated substantial
interest among researchers aiming to enhance clinical decision support systems for various …
interest among researchers aiming to enhance clinical decision support systems for various …
Explainable machine learning for sleep apnea prediction
AR Troncoso-García, M Martínez-Ballesteros… - Procedia Computer …, 2022 - Elsevier
Abstract Machine and deep learning has become one of the most useful tools in the last
years as a diagnosis-decision-support tool in the health area. However, it is widely known …
years as a diagnosis-decision-support tool in the health area. However, it is widely known …
Explainable soft attentive efficientnet for breast cancer classification in histopathological images
Blockchain (BC) is believed to be the cancer that occurs most frequently in women
worldwide, taking the lives of it's the victims. In early diagnosis aids the patients to survive …
worldwide, taking the lives of it's the victims. In early diagnosis aids the patients to survive …