Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …
radiology, and dermatology. However, the use of AI in mental health care and …
[HTML][HTML] The role of machine learning in diagnosing bipolar disorder: sco** review
Background Bipolar disorder (BD) is the 10th most common cause of frailty in young
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life …
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life …
Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings
Bipolar disorder (BD) is a chronic mental illness characterized by changes in mood that
alternate between mania and hypomania or between depression and mixed states, often …
alternate between mania and hypomania or between depression and mixed states, often …
The use of machine learning techniques in trauma-related disorders: a systematic review
LF Ramos-Lima, V Waikamp… - Journal of psychiatric …, 2020 - Elsevier
Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD)
and Posttraumatic Stress Disorder (PTSD) have always been a challenge in clinical practice …
and Posttraumatic Stress Disorder (PTSD) have always been a challenge in clinical practice …
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group
MRI‐derived brain measures offer a link between genes, the environment and behavior and
have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of …
have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of …
A Review of Implementing AI-Powered Data Warehouse Solutions to Optimize Big Data Management and Utilization
MKS Uddin, KMR Hossan - Academic Journal on Business …, 2024 - papers.ssrn.com
This review examines the implementation of AI-powered data warehouse solutions to
optimize big data management and utilization, analyzing 25 peer-reviewed articles …
optimize big data management and utilization, analyzing 25 peer-reviewed articles …
Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review
JE Siegel‐Ramsay, MA Bertocci, B Wu… - Bipolar …, 2022 - Wiley Online Library
Objectives Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar
depression characterize pathophysiological differences between these conditions. However …
depression characterize pathophysiological differences between these conditions. However …
[HTML][HTML] An overview of bipolar disorder diagnosis using machine learning approaches: clinical opportunities and challenges
WA Campos-Ugaz, JPP Garay… - Iranian Journal of …, 2023 - ncbi.nlm.nih.gov
Objective: Automatic diagnosis of psychiatric disorders such as bipolar disorder (BD)
through machine learning techniques has attracted substantial attention from psychiatric and …
through machine learning techniques has attracted substantial attention from psychiatric and …
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F Colombo, F Calesella, MG Mazza… - Neuroscience & …, 2022 - Elsevier
Applying machine learning (ML) to objective markers may overcome prognosis uncertainty
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
LA Claude, J Houenou, E Duchesnay… - Bipolar …, 2020 - Wiley Online Library
Objectives The existence of anatomofunctional brain abnormalities in bipolar disorder (BD)
is now well established by magnetic resonance imaging (MRI) studies. To create diagnostic …
is now well established by magnetic resonance imaging (MRI) studies. To create diagnostic …