neural networks

3D hand-sensing wristband

Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.

Optimizing neural networks on a brain-inspired computer

Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.

A robotic skin with a sense of touch

Scientists have developed a sensory integrated artificial brain system that mimics biological neural networks, which can run on a power-efficient neuromorphic processor.

Neural networks helps grow artificial organs

Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.

Neural network can determine lung cancer severity

Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.

A deep learning e-skin decodes complex human motion

A deep learning powered single-strained electronic skin sensor can capture human motion from a distance.

Machine learning improves breast cancer research

Researchers have developed a new, faster method to identify cancer stem-like cells (CSCs), which could help improve the effectiveness of cancer treatments.

Neural networks: artificial brains need sleep too

States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.

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".

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