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
Interpretation of Artificial Intelligence Models in Healthcare
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Ultrasound in Medicine"
DOI: 10.1002/jum.16524
Abstract: Artificial intelligence (AI) models can play a more effective role in managing patients with the explosion of digital health records available in the healthcare industry. Machine‐learning (ML) and deep‐learning (DL) techniques are two methods used… read more here.
Keywords: intelligence models; models healthcare; artificial intelligence; interpretation artificial ... See more keywords
Diagnostic Accuracy of Artificial Intelligence Models for Predicting Postoperative Complications Following Free Flap Reconstruction: A Systematic Review and Meta-Analysis.
Sign Up to like & getrecommendations! Published in 2025 at "Microsurgery"
DOI: 10.1002/micr.70143
Abstract: To systematically evaluate the diagnostic performance of artificial intelligence (AI) models in predicting postoperative complications following flap surgery, and to compare the efficacy of different input modalities used in model training. read more here.
Keywords: predicting postoperative; postoperative complications; artificial intelligence; models predicting ... 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
Detection of focal cortical dysplasia: Development and multicentric evaluation of artificial intelligence models
Sign Up to like & getrecommendations! Published in 2024 at "Epilepsia"
DOI: 10.1111/epi.18240
Abstract: Focal cortical dysplasia (FCD) is a common cause of drug‐resistant focal epilepsy but can be challenging to detect visually on magnetic resonance imaging. Three artificial intelligence models for automated FCD detection are publicly available (MAP18,… read more here.
Keywords: intelligence models; focal cortical; artificial intelligence; cortical dysplasia ... See more keywords
Long-term water demand forecasting using artificial intelligence models in the Tuojiang River basin, China
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0302558
Abstract: Accurate forecasts of water demand are a crucial factor in the strategic planning and judicious use of finite water resources within a region, underpinning sustainable socio-economic development. This study aims to compare the applicability of… read more here.
Keywords: artificial intelligence; long term; water; intelligence models ... See more keywords
Artificial intelligence models for the diagnosis and management of liver diseases
Sign Up to like & getrecommendations! Published in 2022 at "Ultrasonography"
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
Four Different Artificial Intelligence Models Versus Logistic Regression to Enhance the Diagnostic Accuracy of Fecal Immunochemical Test in the Detection of Colorectal Carcinoma in a Screening Setting
Sign Up to like & getrecommendations! Published in 2025 at "AntiCancer Research"
DOI: 10.21873/anticanres.17619
Abstract: Background/Aim: This study aimed to evaluate the diagnostic accuracy (DA) of four artificial intelligence (AI) models compared to logistic regression (LR) in enhancing the performance of the fecal immunochemical test (FIT) for the detection of… read more here.
Keywords: artificial intelligence; logistic regression; intelligence models; accuracy ... See more keywords
Two artificial intelligence models underperform on examinations in a veterinary curriculum.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of the American Veterinary Medical Association"
DOI: 10.2460/javma.23.12.0666
Abstract: OBJECTIVE Advancements in artificial intelligence (AI) and large language models have rapidly generated new possibilities for education and knowledge dissemination in various domains. Currently, our understanding of the knowledge of these models, such as ChatGPT,… read more here.
Keywords: two artificial; models underperform; artificial intelligence; veterinary students ... See more keywords
Drought Forecasting Using Standard Precipitation Index and Artificial Intelligence Models in the Mediterranean Region of Türkiye
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152212172
Abstract: The ongoing drought constitutes a pivotal environmental challenge for the Mediterranean Region of Türkiye, where elevated climatic variability and erratic precipitation patterns result in considerable agricultural and hydrological stress. This study applied two artificial intelligence… read more here.
Keywords: drought; artificial intelligence; mediterranean region; intelligence models ... See more keywords
Artificial Intelligence Models for the Mass Loss of Copper-Based Alloys under Cavitation
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
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