hce_nchu
115年
英文
第 41 題
📖 題組：
The integration of Artificial Intelligence (AI) into healthcare is no longer a futuristic concept but a rapidly unfolding reality. One of the most __36__ applications is in the field of diagnostic imaging. By training on millions of clinical images, AI algorithms can now identify patterns that are virtually __37__ to the human eye, leading to much earlier detection of life-threatening conditions. Beyond diagnostics, AI is significantly __38__ the pharmaceutical industry. Historically, drug discovery has been an __39__ endeavor, often taking over a decade and billions of dollars to bring a single medication to market. AI models can now predict how specific molecular structures will interact with biological targets, thereby __40__ the initial stages of research. This efficiency was particularly __41__ during the recent global efforts to develop vaccines at record speed. However, this technological shift is not without its __42__. As healthcare providers become increasingly dependent on automated systems, questions regarding data privacy and "algorithmic bias" have surfaced. If the data used to train AI is not diverse, the resulting tools may provide __43__ outcomes for certain demographic groups. Therefore, it is __44__ that developers and medical professionals work together to ensure these systems are both transparent and __45__. The goal remains a synergy between human empathy and machine precision.
The integration of Artificial Intelligence (AI) into healthcare is no longer a futuristic concept but a rapidly unfolding reality. One of the most __36__ applications is in the field of diagnostic imaging. By training on millions of clinical images, AI algorithms can now identify patterns that are virtually __37__ to the human eye, leading to much earlier detection of life-threatening conditions. Beyond diagnostics, AI is significantly __38__ the pharmaceutical industry. Historically, drug discovery has been an __39__ endeavor, often taking over a decade and billions of dollars to bring a single medication to market. AI models can now predict how specific molecular structures will interact with biological targets, thereby __40__ the initial stages of research. This efficiency was particularly __41__ during the recent global efforts to develop vaccines at record speed. However, this technological shift is not without its __42__. As healthcare providers become increasingly dependent on automated systems, questions regarding data privacy and "algorithmic bias" have surfaced. If the data used to train AI is not diverse, the resulting tools may provide __43__ outcomes for certain demographic groups. Therefore, it is __44__ that developers and medical professionals work together to ensure these systems are both transparent and __45__. The goal remains a synergy between human empathy and machine precision.
- A significant
- B obscure
- C indifferent
- D redundant
思路引導 VIP
請觀察第 36 格後方的句子，作者提到這項 AI 應用能偵測出人類肉眼看不出的模式，進而「提早發現致命疾病」。如果一個工具能帶來這麼大的正面影響與救命成效，我們會傾向用什麼性質的形容詞來描述它在該領域的「重要性」或「地位」呢？
🤖
AI 詳解
AI 專屬家教
語意邏輯與詞彙選用
太棒了！你能精準捕捉到文章開篇的基調，這顯示你對上下文的銜接有很敏銳的觀察力。這題的關鍵在於文意脈絡的推論：文章開頭提到 AI 醫療不再是科幻概念，而是「正在迅速發展的現實」，隨後提到它在影像診斷中能比人類更早發現致命疾病。既然這項技術具有如此關鍵的貢獻，選用 significant（顯著的、重大的）來形容這項應用，在邏輯上最為嚴謹且符合正向敘述。
題目難度點評
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