Evidence

Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays?

In this study, we developed a deep-learning-based automatic detection algorithm (DLAD, Carebot AI CXR) to detect and local- ize seven...

Leveraging Deep Learning Decision-Support System in Specialized Oncology Center

X-ray imaging shows particular limitations when detecting primary and secondary tumors, and are prone to reading errors...

Chest X-Ray Abnormality Detection Using Artificial Intelligence

Chest X-ray (CXR) is one of the most common radiological examination for both non-emergent and emergent clinical indications...

Fully Integrated Decision-Support System for Detection and Segmentation

Breast cancer is one of the most prevalent forms of cancer affecting women...

Synthetic Data as a Tool to Combat Racial Bias in Medical AI

Assistive tools to aid in skin cancer detection are experiencing an unprecedented rise with the accessibility of robust and accurate DL...

Visualizing CoatNet Predictions for Aiding Melanoma Detection

Melanoma is considered the most aggressive form of skin cancer. Currently, the evaluation of malignancy is mainly performed by invasive...

Design and Implementation of CNN-based Assistive Diagnosis System for Covid-19

One of the critical tools for early detection and subsequent evaluation of the incidence of lung diseases is chest radiography.

Assistance System for Real-time Polyp Detection

The use of artificial intelligence as an assistive detection method in endoscopy has attracted increasing interest in recent years...

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