**AI新技术：手机检测中风准确率高达82%**
近日，IT之家报道了一项创新科技进展，由皇家墨尔本大学生物医学工程师团队与圣保罗州立大学博士生Guilherme Camargo de Oliveira联合研发的一款基于人工智能的面部筛查工具取得了重大突破。该工具能有效利用手机检测中风风险，准确率高达82%。
这一新工具通过分析面部肌肉运动来识别中风迹象。医护人员仅需借助智能手机，在短短数秒内即可完成检测。对于急需迅速诊断治疗的中风患者来说，这无疑是一大福音。然而，尽管该工具的准确率较高，但其仍不能替代传统的综合临床诊断测试，而是作为辅助手段帮助更快地识别潜在的中风患者。
业内专家指出，随着人工智能技术的不断发展与深入应用，其在医疗领域的运用将愈发广泛。此次AI技术在中风检测方面的突破，不仅展示了科技在医疗领域的巨大潜力，也体现了人工智能在辅助诊断方面的关键作用。未来，此类技术有望进一步改善医疗服务的效率与质量。
英语如下：
News Title: “AI New Tech: Mobile Phone Detection of Stroke with 82% Accuracy”
Keywords: AI Stroke Detection, Accuracy of 82%, Mobile Phone Screening Tool
News Content:
**AI New Tech: Mobile Phone Detection of Stroke with 82% Accuracy**
Recently, IT Home reported on an innovative technological breakthrough. A facial screening tool based on artificial intelligence, jointly developed by a team of biomedical engineers from the Royal Melbourne University and PhD student Guilherme Camargo de Oliveira from Sao Paulo State University, has achieved a major breakthrough. This tool can effectively detect the risk of stroke using a mobile phone with an accuracy of 82%.
This new tool identifies stroke signs through the analysis of facial muscle movement. Medical staff can complete the test in just a few seconds using only a smartphone, which is undoubtedly good news for stroke patients who require rapid diagnosis and treatment. However, despite its high accuracy, this tool cannot replace traditional comprehensive clinical diagnostic tests. It is intended as an auxiliary means to help identify potential stroke patients faster.
Industry experts point out that with the continuous development and in-depth application of artificial intelligence technology, its application in the medical field will become increasingly widespread. This breakthrough in AI technology for stroke detection not only demonstrates the huge potential of technology in the medical field but also reflects the crucial role of artificial intelligence in auxiliary diagnosis. In the future, such technology is expected to further improve the efficiency and quality of medical services.
【来源】https://www.ithome.com/0/776/556.htm
Views: 4