computer aided diagnosis

简明释义

计算机辅助诊断

英英释义

Computer aided diagnosis (CAD) refers to the use of computer systems and algorithms to assist healthcare professionals in interpreting medical images or data, enhancing the accuracy and efficiency of diagnoses.

计算机辅助诊断(CAD)是指使用计算机系统和算法帮助医疗专业人员解读医学图像或数据,从而提高诊断的准确性和效率。

例句

1.Many hospitals are now implementing computer aided diagnosis 计算机辅助诊断 systems to assist radiologists.

许多医院现在正在实施计算机辅助诊断 computer aided diagnosis系统来帮助放射科医生。

2.With computer aided diagnosis 计算机辅助诊断, doctors can analyze complex data more efficiently.

通过计算机辅助诊断 computer aided diagnosis,医生可以更有效地分析复杂数据。

3.The integration of computer aided diagnosis 计算机辅助诊断 in pathology has revolutionized the field.

在病理学中整合计算机辅助诊断 computer aided diagnosis彻底改变了这个领域。

4.Training programs for new physicians often include modules on computer aided diagnosis 计算机辅助诊断 technologies.

新医生的培训项目通常包括关于计算机辅助诊断 computer aided diagnosis技术的模块。

5.The use of computer aided diagnosis 计算机辅助诊断 has significantly improved the accuracy of medical imaging.

使用计算机辅助诊断 computer aided diagnosis显著提高了医学影像的准确性。

作文

In recent years, the field of medicine has seen significant advancements due to technological innovations. One of the most promising developments is computer aided diagnosis, which refers to the use of computer systems to assist healthcare professionals in diagnosing diseases more accurately and efficiently. This technology utilizes complex algorithms and vast databases of medical knowledge to analyze patient data, such as imaging results, laboratory tests, and clinical symptoms. The integration of computer aided diagnosis into medical practice not only enhances the diagnostic process but also improves patient outcomes by enabling timely and precise treatment plans.The benefits of computer aided diagnosis are manifold. Firstly, it reduces the likelihood of human error, which can occur due to fatigue, oversight, or lack of experience. For instance, in radiology, where doctors analyze images from X-rays, MRIs, or CT scans, the use of computer aided diagnosis systems can highlight abnormalities that a human eye might miss. These systems are trained using machine learning techniques on thousands of images, allowing them to recognize patterns indicative of various conditions, such as tumors or fractures.Moreover, computer aided diagnosis can significantly speed up the diagnostic process. In emergency situations where time is of the essence, rapid analysis of diagnostic data can be critical. For example, during a stroke, every minute counts, and having a system that can quickly assess brain scans and suggest possible diagnoses can save lives. This efficiency not only aids in immediate care but also alleviates the pressure on healthcare professionals who may be overwhelmed with a high volume of cases.Another important aspect of computer aided diagnosis is its role in personalized medicine. By analyzing a patient's unique genetic makeup along with their medical history, these systems can help in tailoring treatments that are more effective for individual patients. This shift towards personalized medicine represents a significant advancement in how we approach healthcare, moving away from one-size-fits-all solutions to more targeted therapies.Despite the numerous advantages, the implementation of computer aided diagnosis does come with challenges. One major concern is the reliance on technology, which may lead to complacency among healthcare providers. It is crucial that while these tools are used, medical professionals maintain their skills and judgment to ensure comprehensive patient care. Additionally, there are ethical considerations regarding data privacy and the security of sensitive patient information that must be addressed as these technologies become more prevalent.Furthermore, the effectiveness of computer aided diagnosis systems heavily depends on the quality of the data they are trained on. Poor quality data can lead to inaccurate diagnoses, which could have serious repercussions for patients. Therefore, continuous monitoring and updating of these systems are essential to maintain their reliability and accuracy.In conclusion, computer aided diagnosis represents a revolutionary step forward in the medical field, offering numerous benefits that can enhance diagnostic accuracy and improve patient care. However, as with any technological advancement, it is essential to approach its integration thoughtfully, ensuring that it complements the expertise of healthcare professionals rather than replacing it. With ongoing research and development, computer aided diagnosis has the potential to transform the landscape of healthcare, leading to better outcomes for patients around the world.

近年来,医学领域由于技术创新而取得了显著进展。其中最有前景的发展之一是计算机辅助诊断,它指的是利用计算机系统帮助医疗专业人员更准确和高效地诊断疾病。这项技术利用复杂的算法和庞大的医学知识数据库来分析患者数据,例如影像结果、实验室测试和临床症状。将计算机辅助诊断整合到医疗实践中,不仅增强了诊断过程,还通过及时和精确的治疗方案改善了患者的结果。计算机辅助诊断的好处是多方面的。首先,它减少了由于疲劳、疏忽或缺乏经验而可能发生的人为错误。例如,在放射学中,医生需要分析来自X光、MRI或CT扫描的图像,使用计算机辅助诊断系统可以突出显示人眼可能遗漏的异常。这些系统使用机器学习技术在成千上万的图像上进行训练,使其能够识别指示各种病症的模式,例如肿瘤或骨折。此外,计算机辅助诊断可以显著加快诊断过程。在紧急情况下,时间至关重要,快速分析诊断数据可能至关重要。例如,在中风期间,每一分钟都很重要,拥有一个能迅速评估脑部扫描并建议可能诊断的系统可以挽救生命。这种效率不仅有助于及时护理,还减轻了医疗专业人员面临的高病例量压力。计算机辅助诊断的另一个重要方面是它在个性化医疗中的作用。通过分析患者独特的基因组成和病史,这些系统可以帮助制定对个别患者更有效的治疗方案。这种向个性化医疗的转变代表了我们在医疗保健方法上的重大进步,避免了一刀切的解决方案,转向更具针对性的疗法。尽管存在众多优势,但实施计算机辅助诊断也面临挑战。一个主要的担忧是对技术的依赖,这可能导致医疗提供者的自满。因此,在使用这些工具时,医疗专业人员必须保持他们的技能和判断力,以确保全面的患者护理。此外,随着这些技术的普及,关于数据隐私和敏感患者信息安全的伦理考虑也必须得到解决。此外,计算机辅助诊断系统的有效性在很大程度上取决于其训练数据的质量。劣质数据可能导致不准确的诊断,这可能对患者产生严重后果。因此,持续监测和更新这些系统对于保持其可靠性和准确性至关重要。总之,计算机辅助诊断代表了医学领域的革命性进步,提供了许多可以提高诊断准确性和改善患者护理的好处。然而,与任何技术进步一样,重要的是以深思熟虑的方式接近其整合,确保它补充医疗专业人员的专业知识,而不是取代它。随着持续的研究和发展,计算机辅助诊断有潜力改变医疗保健的格局,为全球患者带来更好的结果。

相关单词

aided

aided详解:怎么读、什么意思、用法

diagnosis

diagnosis详解:怎么读、什么意思、用法