摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-心血管疾病和状况的新研究-深静脉血栓是一篇报道的主题。根据来自英国布里斯托尔的新闻，NewsRx记者，Church说：“这项研究评估了通过ThinkSono Guidance，一种人工智能（AI）-APP促进的超声序列远程深静脉血栓(DVT)诊断的可行性，目的是评估由非专家进行的AI引导的POCU在捕获有效超声图像以远程诊断DVT方面的有效性。”我们的新闻记者从B Ristol大学的研究中获得了一句话：“在3.5个月的时间里，疑似DVT的患者接受了由非专业人士使用连接到应用程序的手持超声探头进行的AI-Guide D POCUS。这些超声序列被上传到云仪表板上，供专家审查。此外，参与者接受了正式的DVT扫描。患者接受了AI引导的POCU，使用连接到AI-AP的手持探针，随后进行了正式的DVT扫描。AI-GUI DED扫描期间获得的超声序列被上传到云仪表板上，以便远程专家审查，在那里评估图像质量，并提供诊断。在91名以老年女性为主的参与者中，18%的扫描不完整。其余远程临床医生将64%的患者归类为“可压缩”或“不可压缩”。充分成像扫描的敏感性和特异性分别为100%和91%。值得注意的是，53%的患者风险较低，有可能避免正式扫描。ThinkSono指南有效地指导了非专业人士，简化了DVT的诊断和治疗。它可能会减少对正式扫描的需求，特别是阴性结果的需求，并将诊断能力扩展到
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cardiovascular Disease s and Conditions - Deep Vein Thrombosis is the subject of a report. According to news originating from Bristol, United Kingdom, by NewsRx correspondents, resear ch stated, "This study evaluates the feasibility of remote deep venous thrombosi s (DVT) diagnosis via ultrasound sequences facilitated by ThinkSono Guidance, an artificial intelligence (AI)-app, for point-of-care ultrasound (POCUS). The aim is to assess the effectiveness of AI-guided POCUS conducted by non-specialists in capturing valid ultrasound images for remote diagnosis of DVT." Our news journalists obtained a quote from the research from the University of B ristol, "Over a 3.5- month period, patients with suspected DVT underwent AI-guide d POCUS conducted by non-specialists using a handheld ultrasound probe connected to the app. These ultrasound sequences were uploaded to a cloud-dashboard for r emote specialist review. Additionally, participants received a formal DVT scans. Patients underwent AI-guided POCUS using handheld probes connected to the AI-ap p, followed by formal DVT scans. Ultrasound sequences acquired during the AI-gui ded scan were uploaded to a cloud-dashboard for remote specialist review, where image quality was assessed, and diagnoses were provided. Among 91 predominantly elderly female participants, 18% of scans were incomplete. Of the rest, 91% had sufficient quality, with 64% categoris ed by remote clinicians as 'compressible' or 'incompressible.' Sensitivity and s pecificity for adequately imaged scans were 100% and 91% , respectively. Notably, 53% were low risk, potentially obviating formal scans. ThinkSono Guidance effectively directed non-specialists, streamlin ing DVT diagnosis and treatment. It may reduce the need for formal scans, partic ularly with negative findings, and extend diagnostic capabilities to primary car e."
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