Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2023.1671
Abstract: This systematic review assesses the clinical applicability and reporting quality of available artificial intelligence models in psychiatry. read more here.
Keywords: risk bias; intelligence models; artificial intelligence; evaluation risk ... See more keywords
Development of advanced artificial intelligence models for daily rainfall prediction
Sign Up to like & getrecommendations! Published in 2020 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2020.104845
Abstract: Abstract In this study, the main objective is to develop and compare several advanced Artificial Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized with Particle Swarm Optimization (PSOANFIS), Artificial Neural Networks (ANN)… read more here.
Keywords: intelligence models; development advanced; daily rainfall; advanced artificial ... See more keywords
Artificial intelligence models for the diagnosis and management of liver diseases
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DOI: 10.14366/usg.22110
Abstract: With the development of more advanced methods for the diagnosis and treatment of diseases, the data required for medical care are becoming complex, and misinterpretation of information due to human error may result in serious… read more here.
Keywords: liver; intelligence models; diagnosis management; artificial intelligence ... See more keywords
Artificial Intelligence Models for the Mass Loss of Copper-Based Alloys under Cavitation
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DOI: 10.3390/ma15196695
Abstract: Cavitation is a physical process that produces different negative effects on the components working in conditions where it acts. One is the materials’ mass loss by corrosion–erosion when it is introduced into fluids under cavitation.… read more here.
Keywords: artificial intelligence; cavitation; mass loss; intelligence models ... See more keywords