Lithium-ion battery thermal management via advanced cooling parameters: State-of-the-art review on application of machine learning with exergy, economic and …
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 …
promising energy storage systems that emerge in different industrial sectors–at the top of …
[HTML][HTML] An overview of tools and technologies for anxiety and depression management using AI
A Pavlopoulos, T Rachiotis, I Maglogiannis - Applied Sciences, 2024 - mdpi.com
This study aims to evaluate the utilization and effectiveness of artificial intelligence (AI)
applications in managing symptoms of anxiety and depression. The primary objectives are …
applications in managing symptoms of anxiety and depression. The primary objectives are …
[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 …
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …
Diagnostic accuracy of large language models in psychiatry
OK Gargari, F Fatehi, I Mohammadi… - Asian Journal of …, 2024 - Elsevier
Introduction Medical decision-making is crucial for effective treatment, especially in
psychiatry where diagnosis often relies on subjective patient reports and a lack of high …
psychiatry where diagnosis often relies on subjective patient reports and a lack of high …
[HTML][HTML] Mapping the bibliometrics landscape of AI in medicine: methodological study
Background Artificial intelligence (AI), conceived in the 1950s, has permeated numerous
industries, intensifying in tandem with advancements in computing power. Despite the …
industries, intensifying in tandem with advancements in computing power. Despite the …
Brain-inspired Artificial Intelligence: A Comprehensive Review
J Ren, F Xia - arXiv preprint arXiv:2408.14811, 2024 - arxiv.org
Current artificial intelligence (AI) models often focus on enhancing performance through
meticulous parameter tuning and optimization techniques. However, the fundamental design …
meticulous parameter tuning and optimization techniques. However, the fundamental design …
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 …
necessitates a comprehensive analysis of multimodal data, including unstructured text …
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 …
Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by …
Y Du, J Niu, Y Xing, B Li, VD Calhoun - Schizophrenia Bulletin, 2024 - academic.oup.com
Abstract Background and Hypothesis Schizophrenia (SZ) is characterized by significant
cognitive and behavioral disruptions. Neuroimaging techniques, particularly magnetic …
cognitive and behavioral disruptions. Neuroimaging techniques, particularly magnetic …
Mapping the neurodevelopmental predictors of psychopathology
Neuroimaging research has uncovered a multitude of neural abnormalities associated with
psychopathology, but few prediction-based studies have been conducted during …
psychopathology, but few prediction-based studies have been conducted during …