Lithium-ion battery thermal management via advanced cooling parameters: State-of-the-art review on application of machine learning with exergy, economic and …

SM Parsa, F Norozpour, S Shoeibi, A Shahsavar… - Journal of the Taiwan …, 2023 - Elsevier
Abstract Background Lithium-ion (Li-ion) batteries are one of the most attractive and
promising energy storage systems that emerge in different industrial sectors–at the top of …

[HTML][HTML] A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms

ES Mohamed, TA Naqishbandi, SAC Bukhari, I Rauf… - Healthcare …, 2023 - Elsevier
The prevalence and burden of mental health disorders are on the rise in conflict zones, and
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …

[HTML][HTML] The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review

F Zafar, LF Alam, RR Vivas, J Wang, SJ Whei… - Cureus, 2024 - ncbi.nlm.nih.gov
This narrative literature review undertakes a comprehensive examination of the burgeoning
field, tracing the development of artificial intelligence (AI)-powered tools for depression and …

[HTML][HTML] Mapping the bibliometrics landscape of AI in medicine: methodological study

J Shi, D Bendig, HC Vollmar, P Rasche - Journal of Medical Internet …, 2023 - jmir.org
Background Artificial intelligence (AI), conceived in the 1950s, has permeated numerous
industries, intensifying in tandem with advancements in computing power. Despite the …

Enhancing psychiatric rehabilitation outcomes through a multimodal multitask learning model based on BERT and TabNet: An approach for personalized treatment …

H Yang, D Zhu, S He, Z Xu, Z Liu, W Zhang, J Cai - Psychiatry Research, 2024 - Elsevier
Evaluating the rehabilitation status of individuals with serious mental illnesses (SMI)
necessitates a comprehensive analysis of multimodal data, including unstructured text …

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 …

Mapping the neurodevelopmental predictors of psychopathology

RJ Jirsaraie, MM Gatavins, AR Pines, S Kandala… - Molecular …, 2024 - nature.com
Neuroimaging research has uncovered a multitude of neural abnormalities associated with
psychopathology, but few prediction-based studies have been conducted during …

[HTML][HTML] Intellectual disability and technology: an artificial intelligence perspective and framework

MF Almufareh, S Tehsin, M Humayun… - Journal of Disability …, 2023 - scienceopen.com
Intellectual disability (ID) poses formidable challenges to individuals in acquiring knowledge
and performing daily activities. This condition often stems from a variety of factors, such as …

[HTML][HTML] Downregulation of FTO in the hippocampus is associated with mental disorders induced by fear stress during pregnancy

Y Jiang, T Zhang, L Yang, Z Du, Q Wang, J Hou… - Behavioural Brain …, 2023 - Elsevier
Mental disorders (MD), such as anxiety, depression, and cognitive impairment, are very
common during pregnancy and predispose to adverse pregnancy outcomes; however, the …

[HTML][HTML] The efficacy of automated feedback after internet-based depression screening (DISCOVER): an observer-masked, three-armed, randomised controlled trial in …

S Kohlmann, F Sikorski, HH König, M Schütt… - The Lancet Digital …, 2024 - thelancet.com
Background Despite the availability of effective treatments, most depressive disorders
remain undetected and untreated. Internet-based depression screening combined with …