Artificial intelligence chatbots in endodontic education—Concepts and potential applications
International Endodontic Journal, EarlyView.Abstract The integration of artificial intelligence (AI) into education is transforming learning across various domains, including dentistry. Endodontic education can significantly benefit from AI chatbots; however, knowledge gaps regarding their potential and limitations hinder their effective utilization.
Hossein Mohammad‐Rahimi +5 more
wiley +1 more source
Hematopathology Practice in the Digital Era: What has Changed?
International Journal of Laboratory Hematology, EarlyView.ABSTRACT Hematopathology workflows are complex, since they include numerous data points necessary for guiding further testing, diagnosis, and patient management. The workflows start with complete blood cell counts, with subsequent morphologic evaluation of peripheral blood (PB) and bone marrow (BM).
Olga Pozdnyakova
wiley +1 more source
RAVE-HD: A Novel Sequential Deep Learning Approach for Heart Disease Risk Prediction in e-Healthcare. [PDF]
Diagnostics (Basel)Khan MJ, Raza B, Faheem M.
europepmc +1 more source
Journal of Neuropsychology, EarlyView.Abstract Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and they have the potential to revolutionise neuropsychology as well. A particularly fruitful field for this revolution is the cognitive assessment of neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Mild Cognitive ...
Michele Scandola +3 more
wiley +1 more source
Forecasting Daily Ambient PM2.5 Concentrations in Qingdao City Using Deep Learning and Hybrid Interpretable Models and Analysis of Driving Factors Using SHAP. [PDF]
ToxicsHe Z +5 more
europepmc +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Tactile Sensor-Based Body Center of Pressure Estimation System Using Supervised Deep Learning Models. [PDF]
Sensors (Basel)Baik J, Choi Y, Kim KJ, Park YJ, Lee H.
europepmc +1 more source
Journal of Economic Surveys, EarlyView.ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
Interpretable deep multimodal-based tomato disease diagnosis and severity estimation. [PDF]
Sci RepNasir N +7 more
europepmc +1 more source
A perspective on automated rapid eye movement sleep assessment
Journal of Sleep Research, Volume 34, Issue 2, April 2025.Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source