EigoPro 準2級プラス 読解 — Can Computers Help Doctors?

Can Computers Help Doctors? Imagine visiting a hospital where a computer studies your test results in seconds and points out a problem the doctor might have missed. This is no longer science fiction. Artificial intelligence, or AI, is quietly changing the way medicine is practiced around the world. How AI Helps One of AI's greatest strengths is its ability to find patterns in huge amounts of data. For example, an AI system can examine thousands of X-ray images and learn to spot the early signs of disease — sometimes more accurately than the human eye. Because it never grows tired, AI can also work through the night, helping doctors who must make decisions quickly. In some hospitals, AI already helps to plan treatments and predict which patients may need extra care. The Limits Still, AI is far from perfect. It can only learn from the data it is given, so if that data contains mistakes, the AI's advice may be wrong too. More importantly, AI cannot understand a patient's fears, hopes, or personal circumstances. A machine may calculate the best treatment on paper, but it cannot hold a frightened patient's hand or explain bad news with kindness. Working Together For these reasons, most experts believe the future of medicine is not "doctors versus computers," but "doctors with computers." AI can handle the heavy work of analyzing data, freeing doctors to spend more time with their patients. The final decision, however, should always remain in human hands. A Careful Path Forward As hospitals adopt these powerful tools, they must also protect patients' private information and make sure the technology is used fairly. Used wisely, AI could help millions of people live longer, healthier lives. As one doctor said, "Technology should serve patients, never replace the human touch."

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この単元の問題を3問、解説つきで公開しています

準2級プラス · 読解 · 全5問

問 1

What is described as one of AI's greatest strengths?

  • Its ability to replace doctors completely.
  • Its ability to feel a patient's emotions.
  • Its ability to grow tired like humans.
  • Its ability to find patterns in huge amounts of data.
Phrase

find patterns in huge data

膨大なデータからパターンを見つける

準2級プラス読解技術社会記事AIの強み
⚡ひとことで

「Its ability to find patterns in huge amounts of data.」を表す読解フレーズ。AIの長所の文脈で頻出。

選択肢の解説Choice Analysis

「Its ability to find patterns in huge amounts of data.」

正解

How AI Helps "One of AI's greatest strengths is its ability to find patterns in huge amounts of data" より、AIの強み = 膨大なデータからパターンを見つける能力。the ability to + 動詞 = 「〜する能力」、huge amounts of ~ = 「膨大な量の〜」。

  • 「Its ability to feel and share a patient's emotions.」

    = 患者の感情を感じる能力 ━ 本文 "cannot understand a patient's fears" ━ 感情は扱えない。

  • 「Its ability to replace human doctors completely.」

    = 医師を完全に置き換える能力 ━ "final decision in human hands" ━ 置換ではない。

  • 「Its ability to grow tired in the way that humans do.」

    = 人間のように疲れる能力 ━ "never grows tired" ━ 疲れない。

▦Collocation
パターン意味例
the ability to + 動詞〜する能力its ability to find patterns
find patternsパターンを見つけるfind patterns in data
huge amounts of ~膨大な量の〜huge amounts of data
spot the signs of ~〜の兆候を見つけるspot the early signs of disease
never grow tired決して疲れないit never grows tired
❝例文

  • AI can find patterns in huge data.

    AIは膨大なデータからパターンを見つける。

  • It can spot early signs of disease.

    病気の初期兆候を発見できる。

  • Because it never grows tired, it works at night.

    疲れないので夜も働ける。

💡Tip · 覚えるコツ

強み設問の鉄則 ―― "One of X's greatest strengths is ..." の 直後が長所。the ability to + 動詞 = 「〜する能力」は準2級プラス必須。誤答は『感情を感じる』『疲れる』などAIにできないこと (本文で否定) で誘導。

問 2

How can AI sometimes do better than the human eye?

  • It can understand a patient's personal hopes.
  • It can explain bad news with kindness.
  • It can comfort patients who are afraid.
  • It can spot the early signs of disease in X-ray images more accurately.
Phrase

spot disease more accurately

より正確に病気を発見

準2級プラス読解技術社会記事AIの具体的優位
⚡ひとことで

「It can spot the early signs of disease in X-ray images more accurately.」を表す読解フレーズ。AIの優位の文脈で頻出。

選択肢の解説Choice Analysis

「It can spot the early signs of disease in X-ray images more accurately.」

正解

How AI Helps "examine thousands of X-ray images and learn to spot the early signs of disease — sometimes more accurately than the human eye" より、人間より優れる点 = X線画像で病気の初期兆候をより正確に発見。more accurately than ~ = 「〜より正確に」(比較級)。

  • 「It can comfort those patients who are frightened of an operation.」

    = 怯える患者を慰める ━ 感情ケアはAIの限界 ━ できない。

  • 「It can explain bad news to a patient's family with real kindness.」

    = 悪い知らせを優しく伝える ━ "cannot explain bad news with kindness" ━ できない。

  • 「It can understand a patient's personal hopes and private worries.」

    = 患者の希望を理解する ━ 個人的事情は理解不可。

▦Collocation
パターン意味例
spot the early signs初期兆候を見つけるspot the early signs of disease
more accurately than ~〜より正確にmore accurately than the human eye
examine ~〜を調べるexamine thousands of X-ray images
work through the night夜通し働くwork through the night
plan treatments治療を計画するplan treatments
❝例文

  • AI spots disease more accurately than the eye.

    AIは人の目より正確に病気を発見。

  • It examines thousands of images.

    何千もの画像を調べる。

  • It can work through the night.

    夜通し働ける。

💡Tip · 覚えるコツ

優位設問の鉄則 ―― "more accurately than the human eye" の 比較対象 (人間の目) に注目。more accurately than ~ は準2級プラス必須。誤答は『慰める』『優しく伝える』など本文がAIの限界として挙げた感情面で誘導。

問 3

Why might AI's advice sometimes be wrong?

  • If the data it learns from contains mistakes.
  • Because AI refuses to study data.
  • Because AI gets tired at night.
  • Because AI feels too much emotion.
Phrase

if the data contains mistakes

データに誤りがあれば

準2級プラス読解技術社会記事AIの限界
⚡ひとことで

「If the data it learns from contains mistakes.」を表す読解フレーズ。AIの助言が誤る理由の文脈で頻出。

選択肢の解説Choice Analysis

「If the data it learns from contains mistakes.」

正解

The Limits "It can only learn from the data it is given, so if that data contains mistakes, the AI's advice may be wrong too" より、助言が誤る理由 = 学習データに誤りがあれば。learn from ~ = 「〜から学ぶ」、contain mistakes = 「誤りを含む」、if ~ が条件。

  • 「Because the AI grows tired late at night.」

    = 夜に疲れるから ━ "never grows tired" ━ 疲れない。

  • 「Because the AI feels far too much emotion.」

    = 感情を持ちすぎるから ━ AIは感情を持たない。

  • 「Because the AI refuses to study any data.」

    = データ学習を拒否するから ━ むしろデータから学ぶ ━ 矛盾。

▦Collocation
パターン意味例
learn from ~〜から学ぶlearn from the data
contain mistakes誤りを含むif that data contains mistakes
the data it is given与えられたデータthe data it is given
be far from perfect完璧にはほど遠いfar from perfect
on paper理論上はthe best treatment on paper
❝例文

  • AI learns only from the data it is given.

    AIは与えられたデータからのみ学ぶ。

  • If the data has mistakes, the advice may be wrong.

    データに誤りがあれば助言も誤りうる。

  • AI is far from perfect.

    AIは完璧にはほど遠い。

💡Tip · 覚えるコツ

限界設問の鉄則 ―― "if that data contains mistakes, the advice may be wrong" の if節が原因。learn from ~ / far from perfect = 「完璧にほど遠い」は準2級プラス必須。誤答は『疲れる』『感情過多』などAIの性質と矛盾する内容で誘導。

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