Emotion recognition in EEG signals using deep learning methods: A review
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 …
planning, reasoning, and other mental states. As a result, they are considered a significant …
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 …
require human intelligence, such as visual perception, speech recognition, decision-making …
Towards building multilingual language model for medicine
The development of open-source, multilingual medical language models can benefit a wide,
linguistically diverse audience from different regions. To promote this domain, we present …
linguistically diverse audience from different regions. To promote this domain, we present …
Case reports in neuroimaging and stimulation
The brain, a remarkable and intricate system, plays a fundamental role in sha** our
behavior, encompassing cognitive and emotional processes (1–3). Understanding its …
behavior, encompassing cognitive and emotional processes (1–3). Understanding its …
Insights into structural and functional organization of the brain: evidence from neuroimaging and non-invasive brain stimulation techniques
The brain is a complex and dynamic system that underlies our behavior, emotions, and
cognition (1–3). To better understand the structural and functional organization of the brain …
cognition (1–3). To better understand the structural and functional organization of the brain …
Interpretability research of deep learning: A literature survey
B Xua, G Yang - Information Fusion, 2024 - Elsevier
Deep learning (DL) has been widely used in various fields. However, its black-box nature
limits people's understanding and trust in its decision-making process. Therefore, it becomes …
limits people's understanding and trust in its decision-making process. Therefore, it becomes …
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine
One of the major barriers to using large language models (LLMs) in medicine is the
perception they use uninterpretable methods to make clinical decisions that are inherently …
perception they use uninterpretable methods to make clinical decisions that are inherently …
Exploring the intersection of artificial intelligence and clinical healthcare: a multidisciplinary review
Artificial intelligence (AI) plays a more and more important role in our everyday life due to the
advantages that it brings when used, such as 24/7 availability, a very low percentage of …
advantages that it brings when used, such as 24/7 availability, a very low percentage of …
Explaining the mechanism of multiscale groundwater drought events: A new perspective from interpretable deep learning model
This study presents a new approach to understand the causes of groundwater drought
events with interpretable deep learning (DL) models. As prerequisites, accurate long short …
events with interpretable deep learning (DL) models. As prerequisites, accurate long short …
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement
Virtual Mental Health Assistants (VMHAs) continuously evolve to support the overloaded
global healthcare system, which receives approximately 60 million primary care visits and 6 …
global healthcare system, which receives approximately 60 million primary care visits and 6 …