A critical historic overview of artificial intelligence: Issues, challenges, opportunities, and threats

PP Groumpos - Artificial Intelligence and Applications, 2023 - ojs.bonviewpress.com
Artificial intelligence (AI) has been considered a revolutionary and world-changing science,
although it is still a young field and has a long way to go before it can be established as a …

Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review

Y Cai, YQ Cai, LY Tang, YH Wang, M Gong, TC Jing… - BMC medicine, 2024 - Springer
Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …

Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach

AD Samaras, S Moustakidis, ID Apostolopoulos… - Scientific Reports, 2023 - nature.com
The main goal driving this work is to develop computer-aided classification models relying
on clinical data to identify coronary artery disease (CAD) instances with high accuracy while …

Modelling differential diagnosis of febrile diseases with fuzzy cognitive map

O Obot, A John, I Udo, K Attai, E Johnson… - Tropical Medicine and …, 2023 - mdpi.com
The report of the World Health Organization (WHO) about the poor accessibility of people
living in low-to-middle-income countries to medical facilities and personnel has been a …

Explainable deep fuzzy cognitive map diagnosis of coronary artery disease: Integrating myocardial perfusion imaging, clinical data, and natural language insights

A Feleki, ID Apostolopoulos, S Moustakidis… - Applied Sciences, 2023 - mdpi.com
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …

Fuzzy cognitive maps: their role in explainable artificial intelligence

ID Apostolopoulos, PP Groumpos - Applied Sciences, 2023 - mdpi.com
Currently, artificial intelligence is facing several problems with its practical implementation in
various application domains. The explainability of advanced artificial intelligence algorithms …

Fuzzy cognitive map applications in Medicine over the last two decades: a review study

ID Apostolopoulos, NI Papandrianos… - Bioengineering, 2024 - mdpi.com
Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers
because they can capture intricate associations among variables and generate precise …

An explainable deep learning framework for detecting and localising smoke and fire incidents: evaluation of grad-CAM++ and LIME

ID Apostolopoulos, I Athanasoula, M Tzani… - Machine Learning and …, 2022 - mdpi.com
Climate change is expected to increase fire events and activity with multiple impacts on
human lives. Large grids of forest and city monitoring devices can assist in incident …

Advanced fuzzy cognitive maps: State-space and rule-based methodology for coronary artery disease detection

ID Apostolopoulos, PP Groumpos… - Biomedical Physics & …, 2021 - iopscience.iop.org
Abstract According to the World Health Organization, 50% of deaths in European Union are
caused by Cardiovascular Diseases (CVD), while 80% of premature heart diseases and …

Uncovering the black box of coronary artery disease diagnosis: the significance of explainability in predictive models

AD Samaras, S Moustakidis, ID Apostolopoulos… - Applied Sciences, 2023 - mdpi.com
Featured Application An explainable computer-aided diagnosis system for cardiovascular
diseases can be a valuable tool for primary health care. Medical experts can utilize such …