Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

The model learns the important features from the data itself. Large Data Requirements: Deep learning models require vast amounts of labeled data to achieve high accuracy.

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...

Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store heat. More frequent and intense heat waves are a growing challenge for public health and urban ...