Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
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.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
An AI tool to help funders identify specialists to peer-review proposals for emergency COVID-19 research has been developed.
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.
Experts have begun using artificial intelligence to create computer models that calculate the risk of a corona patient’s needing intensive care or a ventilator.
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.