Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …
prioritizing patients into multi-emergency level is required to accommodate all the patients …
A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease
Alzheimer's disease (AD) is the most common type of dementia. Its diagnosis and
progression detection have been intensively studied. Nevertheless, research studies often …
progression detection have been intensively studied. Nevertheless, research studies often …
A manifesto on explainability for artificial intelligence in medicine
The rapid increase of interest in, and use of, artificial intelligence (AI) in computer
applications has raised a parallel concern about its ability (or lack thereof) to provide …
applications has raised a parallel concern about its ability (or lack thereof) to provide …
Explainable artificial intelligence (xai) on timeseries data: A survey
Most of state of the art methods applied on time series consist of deep learning methods that
are too complex to be interpreted. This lack of interpretability is a major drawback, as several …
are too complex to be interpreted. This lack of interpretability is a major drawback, as several …
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …
remarkable performance in providing medical professionals and patients with support for …
Interpretability of clinical decision support systems based on artificial intelligence from technological and medical perspective: A systematic review
Q Xu, W Xie, B Liao, C Hu, L Qin, Z Yang… - Journal of healthcare …, 2023 - Wiley Online Library
Background. Artificial intelligence (AI) has developed rapidly, and its application extends to
clinical decision support system (CDSS) for improving healthcare quality. However, the …
clinical decision support system (CDSS) for improving healthcare quality. However, the …
An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for …
In the context of medical decision making, the Type 2 Diabetes (T2D) pharmacological
therapy selection problem involves several medications that can be stipulated to manage …
therapy selection problem involves several medications that can be stipulated to manage …
[HTML][HTML] Deep learning fuzzy immersion and invariance control for type-I diabetes
AH Mosavi, A Mohammadzadeh, S Rathinasamy… - Computers in Biology …, 2022 - Elsevier
In this study, a novel approach is proposed for glucose regulation in type-I diabetes patients.
Unlike most studies, the glucose–insulin metabolism is considered to be uncertain. A new …
Unlike most studies, the glucose–insulin metabolism is considered to be uncertain. A new …
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression
A Ghorbani, F Davoodi, K Zamanifar - Artificial Intelligence in Medicine, 2023 - Elsevier
Ontology enhances semantic interoperability through integrating health data from
heterogeneous sources and sharing information in a meaningful way. In the field of smart …
heterogeneous sources and sharing information in a meaningful way. In the field of smart …