AI has shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
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.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
AI is playing a key role in the Covid-19 response, but it could also be exacerbating inequalities within our health systems – a critical concern that is dragging the technology’s limitations back into the spotlight.
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
Scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography.
Although true “cyborgs” — part human, part robotic beings — are science fiction, researchers are taking steps toward integrating electronics with the body.
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
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.