Tag: machine learning in mental health

Recent scientific advancements have ushered in a new era for the diagnosis of emotional-behavioral disorders, especially in the context of ...

In recent years, nonsuicidal self-injury (NSSI) among adolescents and young adults has emerged as a pressing public health concern, with ...

In recent years, the intersection of mental health education and artificial intelligence has opened new avenues for enhancing educational strategies ...

In the ever-evolving landscape of mental health research, an innovative confluence of artificial intelligence and psychedelic science has emerged, promising ...

In a groundbreaking advancement poised to transform the landscape of mental health diagnostics, researchers have unveiled a novel non-contact method ...

In the ever-growing field of mental health research, a groundbreaking study has emerged from the heart of Saudi Arabia that ...

In a groundbreaking advancement in mental health diagnostics, researchers have unveiled a sophisticated speech feature identification model that promises to ...

In recent years, the quest for objective and reliable diagnostic tools for depression has intensified, driven by the inherent challenges ...

A groundbreaking study published in BMC Psychiatry unveils the powerful capabilities of machine learning in predicting depression risk by pinpointing ...

Insomnia disorder, a pervasive sleep condition affecting millions globally, continues to pose significant challenges due to its profound impact on ...