[HTML][HTML] Enhancing mental health with Artificial Intelligence: Current trends and future prospects
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 …
application in mental healthcare is no exception. Hence, this review explores the integration …
Artificial intelligence: a game-changer for mental health care
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 …
COVID-19 pandemic, the article examines the potential of artificial intelligence (AI) to …
Additive cross-modal attention network (ACMA) for depression detection based on audio and textual features
Detecting depression involves using standardized questionnaires like the Patient Health
Questionnaires (PHQ-8/9). Yet, patients might not always provide genuine responses …
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
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 …
endangering both the affected person's psychological and physical health. Nowadays, a DD …
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 …
(AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of …