作文预测｜来了来了！人工智能主题作文实用语料来了！

小白老师说：“人工智能”从全球来看都是热点中的热点，人工智能与医学的交互也备受瞩目。针对医学考博的特点，前两天为大家预测了“人工智与医疗”的作文一篇，很多同学留言求指导。今天为大家做关键点拨，并提供中英文对照实用语料。

错过之前“人工智能”作文题目的同学点这里👇：‍‍‍‍‍

这个作文题绝对是热点，每个考生都应该动笔写一下！

关键词破解

人工智能 artificial intelligence（AI）
算法 algorithm [ˈælɡərɪðəm]
云计算 cloud computing
机器学习 machine learning
医疗行业 medical industry / healthcare industry
医疗保健（领域）healthcare；medical field

大家注意：在写作中，第一次提到“人工智能”的时候要拼写完整，即写成“artificial intelligence”，后文再次提到的时候可以用 “AI”。

实用语料

下面，小白老师就“人工智能与医疗行业”这个主题，从“定义”、“现状”、“优势”、“劣势”、“发展前景”这五个方面，为大家总结了地道实用的万能句，并对亮点表达和精彩句式做了标注。‍‍

定义

Artificial intelligence is defined as an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills in different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering.

人工智能被定义为一个智能系统，它在生物学、计算机科学、数学、语言学、心理学和工程学等不同学科中应用各种基于人类智能的功能，如推理、学习和解决问题的技能。

现状

Artificial intelligence is barging its way into medical industry.

人工智能正在闯入医疗行业。

Artificial intelligence has transformed industries around the world and has the potential to radically alter the field of healthcare.

人工智能已经改变了全世界的各行各业行业，并且有可能从根本上改变医疗行业。

The healthcare industry is being steadily transformed by artificial intelligence and machine learning.

医疗行业正在通过人工智能和机器学习稳步转型。

优势

Artificial intelligence has already outperformed human being in many tasks.

人工智能在许多任务上已经超过了人类。

Experts reckon that just applying AI to healthcare could create great economic value, including both profits and efficiencies.

专家们认为，将人工智能应用于医疗保健可以创造巨大的经济价值，包括利润和效率。

Machine learning can detect diseases at early stages and provide exact predictions about the effect of specific treatments. Using an algorithmic approach, AI can make valuable decisions and predictions that are improved with experience.

机器学习可以在早期检测疾病，并提供特定治疗效果的准确预测。人工智能可以利用算法做出有价值的决策和预测，这些决策和预测会随着经验而改进。

劣势

Many fret that AI could destroy jobs faster than it creates them.

许多人担心人工智能摧毁工作岗位的速度比创造工作岗位的速度快。

However, using AI in a healthcare setting poses a unique set of ethical and logistical challenges.

然而，在医疗环境中使用人工智能会带来一系列独特的伦理道德以及组织管理上的挑战。

Technical flaws can also cause AI to undervalue certain diagnostic factors.

技术缺陷也可能导致人工智能低估某些诊断因素。

发展前景

With the pace of technology innovation ever increasing, it is important to be aware of the upcoming disruptions and not just blindly enjoy the benefits that AI brings.

随着技术创新的步伐不断加快，重要的是要意识到即将到来的干扰，而不是盲目地享受人工智能带来的好处。

Perhaps most challenging of all is the prospect of regulating AI-based technologies, which still represent uncharted regulatory territory in many cases.

也许最具挑战性的是未来如何监管基于人工智能的技术，在许多情况下，这些技术仍然代表着未知的监管领域。