AI-based diagnostic tools, particularly deep learning models like Convolutional Neural Networks (CNNs), have demonstrated ...

Mayo Clinic researchers have developed OmicsFootPrint, an AI tool that transforms complex biological data into intuitive ...

The Second Lady, Joyce Kithure, was the guest at State House as she met Rachel Ruto for a very interesting conversation ...

AI-driven deep learning models surpass expert radiologists in diagnosing kidney tumors using CT scans. The study highlights ...

Kenya's current bid for the African Union Commission chairmanship represents a carefully recalibrated approach to continental ...

China: Researchers have reported that deep-learning models, when applied to preoperative CT images, can accurately predict ...

To overcome this challenge, a deep ensemble learning method is constructed to predict anticancer ... Results: The result of this study achieves an accuracy rate of 98.53% and an AUC (Area under Curve) ...

Here we present a deep-learning (DL) approach for the diagnosis of atrophic gastritis developed and trained using real-world endoscopic images from the proximal stomach. The model achieved an accuracy ...

Afterward, a three-dimensional convolutional neural network (CNN) was applied to the MRI data from the training and validation cohorts to construct a deep learning system (DLS ... Then the area under ...

Today, I write to share several initiatives — part of AUC’s unique culture of care — that strengthen our ability to be an inclusive University that fosters belonging and supports wellbeing. It is with ...

Aims To validate a deep learning (DL) algorithm (DLA ... After analysing a total of 39 936 SS-OCT scans, the AUC of the DLA was 0.85 (95% CI:0.80 to 0.90, with sensitivity of 83% and a specificity of ...