Tiny magnetic robot armies could treat bleeds in the brain and'open new frontiers in medicine', experts have found. Researchers have created nanoscale robots – each about a twentieth of the size of a red blood cell – that can be remotely guided as a swarm. It is hoped they could enable precise, low-risk treatment of brain aneurisms, which cause around half a million deaths a year globally. The condition – a blood-filled bulge on a brain artery that can rupture and cause fatal bleeds – can also lead to stroke and disability. The team, co-led by the University of Edinburgh's School of Engineering, carried out lab tests using models of aneurisms and rabbits.

Could a new artificial intelligence (AI)-enabled advance have an impact in the diagnosis and treatment of brain aneurysms? The Food and Drug Administration (FDA) has granted 510(k) clearance to Aidoc's new AI platform for brain aneurysms. In addition to identifying and triaging suspected cases, the algorithm facilitates communication and workflow between radiologists, neurologists and neuroendovascular surgeons, according to the company. Researchers have estimated that approximately 6.5 million people in the United States have an unruptured brain aneurysm.1 The Brain Aneurysm Foundation has noted that most aneurysms are small, ranging from 1/8 inch to an inch, and ruptured aneurysms are reportedly misdiagnosed or there is a delay in diagnosis in 25 percent of patients who present to health-care providers.1 Elad Walach, the CEO and co-founder of Aidoc, said the new AI-enabled algorithm may help enhance timely diagnosis and care for brain aneurysms.

GE Healthcare signed on to a new Australian research collaboration to develop artificial intelligence tools to quickly and automatically diagnose brain aneurysms. GE will be contributing its Revolution CT scanners to the "co-creation" effort. The project is being led by the Australian division of Fujitsu, the Tokyo-based IT services firm, which will focus on developing the AI and digital solutions. Additionally, Sydney's Macquarie University and Macquarie Medical Imaging will provide clinical expertise for the product's development and testing. The group hopes to offer a commercial solution to radiology practices in Australia before going worldwide.

Industry leaders anticipate that the use of artificial intelligence in medical imaging will have a substantial clinical impact, ushering in an opportunity to significantly improve decision support in medical image interpretation. In this post, we cover a variety of promising medical imaging applications for AI and machine learning--including diagnosing cancer and brain aneurysms--as well as recent regulatory developments. CB Insights reports that healthcare-related AI investment totaled $1.44 billion in the first half of 2019, putting investment in the space on track to surpass the prior year, in which investment reached $2.5 billion. Much of the attention to date has surrounded applications in medical imaging or radiology. The National Center for Biologic Information (NCBI) reports that publications covering AI in radiology have steeply increased in recent years.

A new research collaboration focused on developing a solution that leverages artificial intelligence (AI) to detect and monitor brain aneurysms on scans faster and more efficiently was recently announced. As reported, Australia's Macquarie University will work with an ICT company, a medical tech company, and a medical imaging company to improve brain aneurysm diagnoses. The project has already received a Cooperative Research Centres Projects (CRC-P) grant of AU$ 2.1M from the Department of Industry, Innovation and Science. Brain aneurysms are a common disorder caused by a weakness in the wall of a brain artery. Aneurysms are present in between 2% and 8% of adults, with multiple aneurysms in more than 10% of these people.

A brain aneurysm is a bulge that forms in the blood vessel of your brain that could lead to severe health issues and possibly death. The diagnosis of this aneurysms is a critically important clinical task. Now, a team of researchers at Stanford University has developed an artificial intelligence (AI) tool that can help detect brain aneurysms. The tool highlights areas of a brain scan that are likely to contain an aneurysm. "There's been a lot of concern about how machine learning will actually work within the medical field," said Allison Park, a Stanford graduate student in statistics and co-lead author of the paper.

A novel artificial intelligence or AI tool, developed by researchers at Stanford University may assist radiologists for fast detection of brain aneurysms revealed the findings of a study published JAMA Network Open. The paper highlighted areas of a brain scan that are likely to contain an aneurysm. A brain aneurysm is characterized as bulges in blood vessels in the brain that can leak or burst open, potentially leading to stroke, brain damage or death. This tool, which is built around an algorithm called HeadXNet, improved clinicians' ability to correctly identify aneurysms at a level equivalent to finding six more aneurysms in 100 scans that contain aneurysms. It also improved consensus among the interpreting clinicians. While the success of HeadXNet in these experiments is promising, the team of researchers – who have expertise in machine learning, radiology, and neurosurgery – cautions that further investigation is needed to evaluate the generalizability of the AI tool prior to real-time clinical deployment given differences in scanner hardware and imaging protocols across different hospital centers.

For about a year, Sam Fox-Hartin had worked for an on-demand concierge startup called GoButler as a "Hero," the company's term for employees who field users' requests, via text message, and then complete tasks such as booking tables at restaurants, scheduling appointments, or ordering food for delivery on their behalf. Most of these tasks, like the ones I watched Fox-Hartin maneuver when GoButler invited me to visit its New York headquarters last year, were fairly routine. But he also wrote poems. Convinced couriers to deliver dry ice. And in response to one particularly odd request, drew "some horses hanging around a campfire."