Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

[HTML][HTML] A review of Explainable Artificial Intelligence in healthcare

Z Sadeghi, R Alizadehsani, MA Cifci, S Kausar… - Computers and …, 2024 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) encompasses the strategies and
methodologies used in constructing AI systems that enable end-users to comprehend and …

Explainable artificial intelligence (XAI): concepts and challenges in healthcare

T Hulsen - AI, 2023 - mdpi.com
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally
require human intelligence, such as visual perception, speech recognition, decision-making …

[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

M Mersha, K Lam, J Wood, A AlShami, J Kalita - Neurocomputing, 2024 - Elsevier
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …

The significance of machine learning in clinical disease diagnosis: A review

SM Rahman, S Ibtisum, E Bazgir, T Barai - arxiv preprint arxiv:2310.16978, 2023 - arxiv.org
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …

[HTML][HTML] Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model

D Srivastava, SK Srivastava, SB Khan, HR Singh… - Diagnostics, 2023 - mdpi.com
According to the WHO (World Health Organization), lung cancer is the leading cause of
cancer deaths globally. In the future, more than 2.2 million people will be diagnosed with …

Explainable artificial intelligence: A taxonomy and guidelines for its application to drug discovery

I Ponzoni, JA Páez Prosper… - Wiley Interdisciplinary …, 2023 - Wiley Online Library
Artificial intelligence (AI) is having a growing impact in many areas related to drug discovery.
However, it is still critical for their adoption by the medicinal chemistry community to achieve …

[PDF][PDF] Security aspects in IoT based cloud computing

E Bazgir, E Haque, NB Sharif… - World Journal of …, 2023 - researchgate.net
Cloud computing offers a flexible framework in which data and resources are spread across
different locations and can be accessed from various industrial environments. This …