Blind spots at the intersection of AI and neuroscience
Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.
Artificial intelligence
Artificial intelligence has unimaginable potential to revolutionize medicine. We cover the latest technology breakthroughs of machine learning and deep learning algorithms that process mindboggling amounts of data, spot even the smallest detail in medical images and help medical professionals in designing treatment plans.
COVID-19: AI platform finds best combination of available therapies
An AI platform derives an optimal combination of available therapies against SARS-CoV-2 - the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.
Chatbot may detect early dementia in time for intervention
If Alzheimer's dementia is identified early, the decline in neural functioning can be stabilized or even curtailed in some cases.
Deep learning-based image segmentation
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Opening the ‘black box’ of AI
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
AI sees and hears COVID-19 in your lungs
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
Deep learning tool measures volume of cerebral ventricles
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
AI accurately detects COVID-19 on chest x-rays
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
How AI can improve medical imaging
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
Neural network learns when it should not be trusted
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
COVID-19: AI system monitores vital health signs
A key symptom of COVID-19 – oxygen saturation – is now being estimated remotely from a camera, thanks to research from University of South Australia (UniSA).
AI uncovers missing info about ethnicity in population health
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Sorting out viruses with machine learning
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
Next-generation computer chip for AIs
Engineers have developed a next-generation circuit that allows for smaller, faster and more energy-efficient devices – which would have major benefits for AI systems.
Machine learning predicts anti-cancer drug efficacy
With the advent of pharmacogenomics, machine learning research is well underway to predict patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.
Using AI to track pandemic’s impact on mental health
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
AI tool to predict accurate flu forecasts
Researchers have developed an AI-powered forecasting tool for predicting influenza outbreaks.
Machine learning hunts for COVID-19 therapies
Researchers have created a deep learning model for drug developers targeting the SARS-CoV-2 main protease.
AI model detects Covid-19 infections through coughs
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Machine learning algorithm detects early stages of Alzheimer's
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Machine learning comes of age in cystic fibrosis
Researchers have developed AI technology that offers a glimpse of the future of precision medicine, and unprecedented predictive power to clinicians caring for individuals with the life-limiting condition.
Making new materials using AI
Researchers have revelead the mechanism behind making materials used in new memory devices by using artificial intelligence.
AI-enabled rapid diagnostic test for COVID-19
Scientists have developed an extremely rapid diagnostic test that detects and identifies viruses in less than five minutes.
Neural networks could help predict future self-harm
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Machine learning model helps drug discovery
Scientists have created a new method of applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the development of new drugs.
5 ways AI is used against COVID-19
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
AI models could predict outcomes in trauma
AI has shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
Deep learning platform accurately diagnoses dystonia
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
