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

The study involved 173 patients with COPD and 176 healthy controls, recruited between December 2017 and June 2023.

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

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

Conclusions: Deep learning algorithms demonstrate high efficacy in liver tumor segmentation, achieving metrics comparable to manual segmentation. These findings substantiate the potential of ...

A research team has developed a novel weakly supervised deep learning method that reconstructs spectral data from inexpensive ...

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Subgroup analyses of the phase 3 CAIRO3 trial: Association of number and total volume of metastases on survival in patients with metastatic colorectal cancer based on a deep-learning automatic ...

Study demonstrates the potential of deep learning algorithms to predict Parkinson's disease (PD) through retinal fundus imaging, offering a non-invasive, early diagnostic tool.

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...