Latest AI and machine learning research in bipolar disorder for healthcare professionals.
We propose a method for detecting the electrode positions in lithium-ion batteries. The process be...
Major depressive disorder (MDD) is one of the most common mental disorders, with significant impac...
Major depressive disorder is a prevalent and serious mental health condition that negatively impac...
In this work, we address the challenges posed by the high nonlinearity of the Butler-Volmer (BV) e...
Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective ...
The advancement of insect-computer hybrid robots holds significant promise for navigating complex ...
Major Depressive Disorder and anxiety disorders affect millions globally, contributing significant...
Depression significantly impacts the wellbeing of older Australians, posing considerable challenges ...
Cardiovascular diseases (CVD) and depression exhibit significant comorbidity, which is highly pred...
Major Depressive Disorder (MDD) is a pervasive mental health condition that affects 300 million pe...
Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is...
MAIN PROBLEM: Anhedonia is a critical diagnostic symptom of major depressive disorder (MDD), being a...
While deep learning methods are increasingly applied in research contexts for neuropsychiatric disor...
Automatic detection of depressive disorder from speech signals can help improve medical diagnosis re...
Suicide poses a global health crisis with significant social and economic impact. Prevention may be ...
Depression, a prevalent and complex mental health issue affecting millions worldwide, presents sig...
INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-a...
The development of portable medical devices cannot be separated from safe and efficient batteries. A...
The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach ...
Video-based action recognition is becoming a vital tool in clinical research and neuroscientific stu...
OBJECTIVE: To explore the effectiveness of using deep learning network combined Vision Transformer (...