Stanford researchers have developed the milli-spinner thrombectomy, a new device that significantly improves stroke treatment by shrinking blood clots without breaking them, potentially doubling the success rate of clot removal procedures and saving more lives.
A Yale-led study has revealed that patients who suffer strokes following cardiac interventions are less likely to receive the most effective stroke treatment, EVT. The study analyzed a nationwide database and found that less than two percent of these patients were treated with EVT, which is the only effective treatment for such cases. The risk of stroke varies for different cardiac interventions, and the study suggests that patients who had both a cardiac intervention and ischemic stroke and were then treated with EVT were twice as likely to be discharged home. The researchers also discussed the challenges in detecting strokes among cardiac patients and emphasized the importance of closer monitoring and prevention efforts.
San Francisco-based startup Viz.ai is using artificial intelligence (AI) to improve stroke care by reducing diagnosis and surgery-prep time. The company's algorithms compare CT scan images against its database to help doctors prioritize stroke patients and shave crucial minutes off treatment time. Viz.ai has received FDA approval for its algorithms and has signed agreements with over 1,500 U.S. hospitals. The company is also expanding into generative AI to summarize patients' medical records and provide relevant information. Viz.ai is working with drug companies and medical-device manufacturers to help them launch their products more efficiently. The company aims to detect 100 diseases using its AI technology.