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Find the latest research about AI
Here are some of the latest research papers on artificial intelligence from various fields:
Modelling route choice in public transport with deep learning
Authors: AD Marra, F Corman
Published in: Transportation (2025)
Summary: This study applies deep learning models to predict route choice behavior in public transportation, incorporating explainable AI methods.
Read here
Beyond perfection: why imperfect routinely collected intensive care data still hold value
Authors: N Rodemund, B Wernly, O Stundner
Published in: Intensive Care Medicine (2025)
Summary: Investigates the potential of AI in handling ICU data, emphasizing the importance of imperfect but real-world clinical datasets.
Read here
A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer
Authors: X Han, J Guan, L Guo, Q Jiao
Published in: Cancer Imaging (2025)
Summary: Uses deep learning to analyze CT scans for predicting PD-L1 expression in bladder cancer patients, enhancing precision medicine.
Read here
Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic model
Authors: S Rajabi-Kiasari, A Ellmann
Published in: Applied Ocean Research (2025)
Summary: Implements deep learning models to enhance sea level forecasting accuracy, aiding climate research and coastal planning.
Read here
Using artificial intelligence to predict the success of therapeutic dental treatment
Authors: V Nataliya, D Bohdan
Published in: Scientific Research and Experimental Development (2025)
Summary: Explores AI applications in dentistry, specifically in predicting the success of therapeutic treatments.
Read here
Artificial Intelligence in Teaching English: New Opportunities and Challenges
Author: ЖН Туктубаева
Published in: Scientific Research and Experimental Development (2025)
Summary: Examines the integration of AI in English language teaching, discussing opportunities and pedagogical challenges.
Read here
AI-based measurement of adipose body composition in patients with acute pancreatitis
Authors: A Facciorusso, E De-Madaria
Published in: Digestive and Liver Disease (2025)
Summary: Investigates AI's role in assessing adipose tissue composition to predict outcomes in acute pancreatitis cases.
Read here
Predicting pregnancy at the first year following metabolic-bariatric surgery: Development and validation of machine learning models
Authors: R Moradi, M Kashanian, F Yarigholi, A Pazouki
Published in: Surgical Endoscopy (2025)
Summary: Uses AI-driven models to predict pregnancy likelihood after bariatric surgery, helping in clinical decision-making.
Read here
Optimizing Parametric Insurance for Renewable Energy Investments: Integrating Fuzzy Decision-Making and Artificial Intelligence Techniques
Authors: S Eti, S Yüksel, H Dinçer, D Pamucar, M Deveci
Published in: Renewable Energy (2025)
Summary: Applies AI-driven decision-making models to improve insurance mechanisms for renewable energy projects.
Read here
Evaluating spam filters and Stylometric Detection of AI-generated phishing emails
Authors: C Opara, P Modesti, L Golightly
Published in: Expert Systems with Applications (2025)
Summary: Analyzes AI-generated phishing emails using advanced stylometric detection and spam filtering techniques.
Read here
These papers represent the latest advancements in AI across multiple domains, including healthcare, cybersecurity, education, and environmental science. Let me know if you want more details on a specific topic!
Here are some of the latest research papers on artificial intelligence from various fields:
Modelling route choice in public transport with deep learning
Authors: AD Marra, F Corman
Published in: Transportation (2025)
Summary: This study applies deep learning models to predict route choice behavior in public transportation, incorporating explainable AI methods.
Read here
Beyond perfection: why imperfect routinely collected intensive care data still hold value
Authors: N Rodemund, B Wernly, O Stundner
Published in: Intensive Care Medicine (2025)
Summary: Investigates the potential of AI in handling ICU data, emphasizing the importance of imperfect but real-world clinical datasets.
Read here
A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer
Authors: X Han, J Guan, L Guo, Q Jiao
Published in: Cancer Imaging (2025)
Summary: Uses deep learning to analyze CT scans for predicting PD-L1 expression in bladder cancer patients, enhancing precision medicine.
Read here
Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic model
Authors: S Rajabi-Kiasari, A Ellmann
Published in: Applied Ocean Research (2025)
Summary: Implements deep learning models to enhance sea level forecasting accuracy, aiding climate research and coastal planning.
Read here
Using artificial intelligence to predict the success of therapeutic dental treatment
Authors: V Nataliya, D Bohdan
Published in: Scientific Research and Experimental Development (2025)
Summary: Explores AI applications in dentistry, specifically in predicting the success of therapeutic treatments.
Read here
Artificial Intelligence in Teaching English: New Opportunities and Challenges
Author: ЖН Туктубаева
Published in: Scientific Research and Experimental Development (2025)
Summary: Examines the integration of AI in English language teaching, discussing opportunities and pedagogical challenges.
Read here
AI-based measurement of adipose body composition in patients with acute pancreatitis
Authors: A Facciorusso, E De-Madaria
Published in: Digestive and Liver Disease (2025)
Summary: Investigates AI's role in assessing adipose tissue composition to predict outcomes in acute pancreatitis cases.
Read here
Predicting pregnancy at the first year following metabolic-bariatric surgery: Development and validation of machine learning models
Authors: R Moradi, M Kashanian, F Yarigholi, A Pazouki
Published in: Surgical Endoscopy (2025)
Summary: Uses AI-driven models to predict pregnancy likelihood after bariatric surgery, helping in clinical decision-making.
Read here
Optimizing Parametric Insurance for Renewable Energy Investments: Integrating Fuzzy Decision-Making and Artificial Intelligence Techniques
Authors: S Eti, S Yüksel, H Dinçer, D Pamucar, M Deveci
Published in: Renewable Energy (2025)
Summary: Applies AI-driven decision-making models to improve insurance mechanisms for renewable energy projects.
Read here
Evaluating spam filters and Stylometric Detection of AI-generated phishing emails
Authors: C Opara, P Modesti, L Golightly
Published in: Expert Systems with Applications (2025)
Summary: Analyzes AI-generated phishing emails using advanced stylometric detection and spam filtering techniques.
Read here
These papers represent the latest advancements in AI across multiple domains, including healthcare, cybersecurity, education, and environmental science. Let me know if you want more details on a specific topic!