Explainable artificial intelligence in Alzheimer's disease classification: A systematic review

V Viswan, N Shaffi, M Mahmud, K Subramanian… - Cognitive …, 2024 - Springer
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Virtual reality utilized for safety skills training for autistic individuals: a review

L Liu, X Yao, J Chen, K Zhang, L Liu, G Wang… - Behavioral …, 2024 - mdpi.com
In recent years, virtual reality technology, which is able to simulate real-life environments,
has been widely used in the field of intervention for individuals with autism and has …

Effectiveness of biofeedback on blood pressure in patients with hypertension: systematic review and meta-analysis

S Jenkins, A Cross, H Osman, F Salim… - Journal of Human …, 2024 - nature.com
Hypertension is the leading modifiable risk factor for cardiovascular disease, but less than
50% have their blood pressure controlled. A possible avenue to support hypertension …

Safevr mentalverse. app: Development of a free immersive virtual reality exposure therapy for acrophobia and claustrophobia

MA Gaina, SV Sbarcea, BS Popa, BV Stefanescu… - Brain Sciences, 2024 - mdpi.com
Background: Specific phobias impact over 400 million people worldwide. Digitalizing mental
health could alleviate the burden. Still, although the corporate-driven Metaverse is …

Detection of arousal and valence from facial expressions and physiological responses evoked by different types of stressors

J Bruin, IV Stuldreher, P Perone… - Frontiers in …, 2024 - frontiersin.org
Automatically detecting mental state such as stress from video images of the face could
support evaluating stress responses in applicants for high risk jobs or contribute to timely …

Augmenting self-guided virtual-reality exposure therapy for social anxiety with biofeedback: a randomised controlled trial

P Premkumar, N Heym, JAC Myers, P Formby… - Frontiers in …, 2024 - frontiersin.org
Introduction We previously found that self-guided Virtual Reality Exposure Therapy (VRET)
improved Public Speaking Anxiety (PSA) and reduced heartrate. Elevated heartrate …

A robust and explainable deep learning method for cervical cancer screening

M Di Giammarco, F Mercaldo, X Zhou, P Huang… - … Conference on Applied …, 2023 - Springer
The cervix forms the lower part of the uterus and marks the passage between the uterine
body and the vagina. The cervix is crossed by a fusiform canal which is called the cervical …

Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions

JH Park, YB Shin, D Jung, JW Hur, SP Pack… - Frontiers in …, 2025 - frontiersin.org
Introduction Machine learning (ML) is an effective tool for predicting mental states and is a
key technology in digital psychiatry. This study aimed to develop ML algorithms to predict the …

Research on Multi-Modal Pedestrian Detection and Tracking Algorithm Based on Deep Learning

R Zhao, J Hao, H Huo - Future Internet, 2024 - mdpi.com
In the realm of intelligent transportation, pedestrian detection has witnessed significant
advancements. However, it continues to grapple with challenging issues, notably the …

A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application

S Zhao, W Li, X Wang, S Foglia, H Tan, B Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning (ML) and deep learning (DL) techniques have been widely applied to
analyze electroencephalography (EEG) signals for disease diagnosis and brain-computer …