考前最后一篇作文预测，今年必看

小白老师说：如果没有特殊情况，今年大概率还是考翻译。考前最后一篇预测“人工智能与医疗”，献给考博的你。为什么选这个主题？因为该主题完美融合医学考博命题方向——技术、伦理、社会热点，三者交织。从影像诊断到药物研发，从责任界定到隐私安全，每个点都可能成为考题。练过这篇，上考场遇到类似话题，你会充满底气。

答题要求：

1．译文必须忠实于原文，不能随意发挥；

2．用词恰当，注意词性的必要转换；

3．注意使用正确的英语语法；

4．文字通顺，符合英语表达习惯。

Directions: In this part there is a passage in Chinese. Read it carefully, and then translate it into English on the ANSWER SHEET. Make sure that your translation is grammatically correct and semantically faithful to the original.

近年来，人工智能在医疗领域的应用正以前所未有的速度发展。从辅助影像诊断到个性化治疗方案的制定，人工智能展现出了巨大的潜力，有望从根本上改善医疗服务的质量和效率。支持者认为，人工智能可以减轻医生繁重的工作负担，让他们将更多精力投入到复杂的临床决策和人文关怀中。例如，在病理切片分析中，人工智能算法能够在几秒钟内完成医生需要数小时才能完成的工作，且准确率相当高。此外，在药物研发领域，人工智能正在加速新药的筛选和试验过程，为攻克疑难病症带来了新的希望。

然而，人工智能的快速普及也引发了一系列伦理和社会层面的担忧。批评者指出，过度依赖技术可能会导致医生临床技能的退化。同时，患者数据的隐私与安全问题也成为焦点——在数据采集和使用过程中，如何确保信息不被滥用？另一个棘手的难题是责任界定：当人工智能辅助诊断出现失误时，责任究竟该由算法开发者承担，还是由临床医生承担？

总体而言，人工智能对医疗行业的影响是一把双刃剑。它既带来了前所未有的机遇，也伴随着不容忽视的风险。未来，我们需要在技术创新与伦理规范之间寻求平衡，确保技术真正服务于人类健康。

审题

这篇翻译整体难度不算高，结构清晰，句子规整，考察重点是医学与科技话题中的常见表达。

重要关键词的译法我已经帮你汇总好了，考前过一遍，考场心不慌。

人工智能 artificial intelligence (AI)
前所未有的速度 at an unprecedented pace
辅助影像诊断 assisting in imaging diagnosis
个性化治疗方案 personalized treatment plans
减轻负担 alleviate/reduce the workload/burden
人文关怀 humanistic care / patient empathy
病理切片分析 pathological slide analysis
药物研发 drug research and development (R&D)
攻克疑难病症 conquer/tackle difficult and rare diseases
伦理层面的担忧 ethical concerns
临床技能退化 degradation of clinical skills
数据隐私与安全 data privacy and security
责任界定 accountability / question of accountability
不容忽视的风险 risks that cannot be ignored
寻求平衡 strike a balance between …
伦理规范 ethical standards / ethical regulation

参考译文

Recent years have witnessed the rapid advancement of AI applications in healthcare at an unprecedented pace. By assisting in imaging diagnosis and personalizing treatment plans, AI has shown immense promise in revolutionizing the quality and efficiency of medical services. Proponents believe that AI can alleviate doctors’ administrative burdens, allowing them to focus more on complex decision-making and patient empathy. For example, in analyzing pathology slides, AI algorithms can accomplish in seconds what might take a physician hours, achieving high accuracy. In drug R&D, AI is accelerating the screening of compounds and clinical trials, offering new hope for tackling challenging diseases.

Yet, the rapid integration of AI also brings significant ethical and societal concerns. Critics warn that over-reliance on algorithms may erode essential clinical skills. Moreover, data privacy and security have become pressing issues—how do we safeguard patient information from misuse during collection and application? Another major challenge is accountability: when an AI-assisted diagnosis results in a medical error, who bears responsibility—the algorithm’s developer or the clinician?

In conclusion, AI’s impact on healthcare is a double-edged sword, presenting both unprecedented opportunities and substantial risks. Moving forward, we must strike a careful balance between fostering innovation and upholding ethical standards, ensuring that technology remains a true servant to human health.

翻译预测不是为了猜题，而是练兵。翻译几乎不可能遇到一模一样的文本，但是练过这一篇，相关话题的词汇、句式、逻辑你就有了底。

评论区留下你的目标分数，愿你一定能实现！加油上岸！💪💪

近四年医学考博翻译题汇总：▼