[HTML][HTML] AI chatbots in digital mental health

L Balcombe�- Informatics, 2023 - mdpi.com
Artificial intelligence (AI) chatbots have gained prominence since 2022. Powered by big
data, natural language processing (NLP) and machine learning (ML) algorithms, they offer�…

Under threat: the International AIDS Society–Lancet Commission on health and human rights

C Beyrer, A Kamarulzaman, M Isbell, J Amon, S Baral…�- The Lancet, 2024 - thelancet.com
Executive summary 2023 marked the 75th anniversary of the UN's Universal Declaration of
Human Rights. The Universal Declaration articulates an inspiring vision of a world that is�…

Comparative analysis of five convolutional neural networks for landslide susceptibility assessment

Y Ge, G Liu, H Tang, B Zhao, C Xiong�- Bulletin of Engineering Geology�…, 2023 - Springer
To evaluate the performance of deep learning methods on the landslide susceptibility
mapping, five different convolutional neural networks (CNN)—AlexNet, Inception-v3�…

[HTML][HTML] Enhancing mental health with Artificial Intelligence: Current trends and future prospects

DB Olawade, OZ Wada, A Odetayo…�- Journal of medicine�…, 2024 - Elsevier
Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its
application in mental healthcare is no exception. Hence, this review explores the integration�…

Additive Cross-Modal Attention Network (ACMA) for Depression Detection based on Audio and Textual Features

NK Iyortsuun, SH Kim, HJ Yang, SW Kim…�- IEEE Access, 2024 - ieeexplore.ieee.org
Detecting depression involves using standardized questionnaires like the Patient Health
Questionnaires (PHQ-8/9). Yet, patients might not always provide genuine responses�…

[HTML][HTML] Depressive disorder recognition based on frontal EEG signals and deep learning

Y Xu, H Zhong, S Ying, W Liu, G Chen, X Luo, G Li�- Sensors, 2023 - mdpi.com
Depressive disorder (DD) has become one of the most common mental diseases, seriously
endangering both the affected person's psychological and physical health. Nowadays, a DD�…

Artificial intelligence: a game-changer for mental health care

A Dakanalis, BK Wiederhold, G Riva�- …�, Behavior, and Social�…, 2024 - liebertpub.com
Starting from the escalating global burden of mental health disorders, exacerbated by the
COVID-19 pandemic, the article examines the potential of artificial intelligence (AI) to�…

A systematic review on IoT and machine learning algorithms in e-healthcare

D Tenepalli, N TM�- …�Journal of Computing and Digital Systems, 2024 - journal.uob.edu.bh
In recent years, the Internet of Things (IoT) has been adopted in many applications since its
usage is essential to daily life. Also, it is a developing technology in the healthcare system to�…

Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders

ET Ugar, N Malele�- Journal of Medical Ethics, 2024 - jme.bmj.com
Recently clinicians have become more reliant on technologies such as artificial intelligence
(AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of�…

[PDF][PDF] A stacking-based ensemble framework for automatic depression detection using audio signals

S Mamidisetti, AM Reddy�- International Journal of�…, 2023 - pdfs.semanticscholar.org
Mental illnesses are severe obstacles for the global welfare. Depression is a psychological
disorder which causes problems to the individual and also to his/her dependents. Machine�…