neural networks

AI used to identify different types of brain injuries

Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.

AI distinguishes pneumonia from COVID-19

Researchers have developed a predictive artificial intelligence model that can tell the difference between healthy patients, those who are ill with pneumonia and those who have COVID-19, from chest X-rays.

Neural networks help cardiac diagnostics

Artificial intelligence may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart.

AI model accurately classifies colorectal polyps

An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.

Deep learning system used for diagnosing skin diseases

An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.

AI in healthcare – hype, hope and reality

Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.

Using AI to assess ulcerative colitis

Researchers develop an AI system that effectively evaluates endoscopic mucosal findings from patients with ulcerative colitis without the need for biopsy collection.

Fighting hand tremors with AI and robots

Researchers have tapped AI techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.

AI challenge aims to improve mammography accuracy

AI techniques, used in combination with the evaluation of expert radiologists, improve the accuracy in detecting cancer using mammograms.

AI analyzes myoclonus severity from video footage

Thanks to a deep convolutional neural network architecture, fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible.

AI finds disease-related genes

An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes.

AI identifies features associated with cancer recurrence

An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.

Neural network for elderly care could save millions

A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.

Neural networks support endovascular stroke therapy

Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.

From one brain scan, more information for the AI

Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.

AI used to screen for FASD

Scientists have developed a new tool that can screen children for fetal alcohol spectrum disorder (FASD) quickly and affordably.

AI-driven platform “HRMAn” never sleeps

Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist.

AI networks make life easier for hearing aid users

Researchers have developed a groundbreaking AI algorithm that can enable hearing aid users to take a more active part in conversations in noisy environments.

“Get to the cloud. Run to the cloud!”

Eric Schmidt has strong opinions about the healthcare system, its providers and professionals. He critized that the healthcare ecosystem was still being stuck in the “stone age" and challenges it to "focus on innovation".