Reportedly, physicians could soon get some assistance from an AI (artificial intelligence) tool while identifying brain aneurysms, which are the bulges in blood vessels of the brain that could burst or leak open potentially causing brain damage, stroke, or death. The AI tool was developed by scientists at Stanford University and the study was published in JAMA Network Open. The research highlights areas of a brain screening that are likely to have an aneurysm. Allison Park—Co-lead Author of the study from Stanford University—said, “There has been a lot of concern regarding how machine learning would actually function within the medical field. This study is an example of how humans stay engaged in the diagnostic process, supported by an AI tool.”
This tool is developed around an algorithm known as HeadXNet, which improves physicians’ ability to precisely identify aneurysms at a level comparable to finding six extra aneurysms in 100 screenings that include aneurysms. It also advanced consensus amongst the interpreting doctors. While the achievement of HeadXNet in these studies is promising, the group of researchers—who are specialists in radiology, machine learning, and neurosurgery—warns that further examination is required to evaluate the generality of the AI tool before real-time clinical exploitation gave differences in imaging protocols and scanner hardware across various hospital centers. The scientists further plan to address such issues through multi-center collaboration.
Recently Stanford University was in news for its study that stated that new genetic weapons test sickle cell disease. The assistance for patients having sickle cell disease might soon come from gene editing to repair the mutation that leads to the disease and strengthen the patient’s individual protective fetal hemoglobin. The latest research showed that by utilizing CRISPR-Cas9 and a counteractive short DNA template to overhaul the sickle cell mutation in an individual’s HSCs (hematopoietic stem cells) can be safe and efficient.