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醫學 · Health · · 712 words · B1-B2

The Promise and Problems of AI in Healthcare

As technology changes how we treat patients, experts and lawmakers are questioning the risks of using AI in medical decision-making.

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Summary · 摘要

Artificial intelligence is changing how doctors treat patients and how researchers discover new medicines. While AI tools like AlphaFold help scientists understand diseases faster, there are growing concerns about its use in insurance and care decisions. A government program called WISeR is currently facing criticism for using AI to deny medical care to seniors. Lawmakers are now trying to stop this program, arguing that it puts profits before patient health. Experts warn that while AI has great potential, it must be used carefully to avoid bias and unfair treatment.

人工智慧正在改變醫師治療病患的方式,以及研究人員發現新藥物的過程。雖然像 AlphaFold 這樣的人工智慧工具能協助科學家更快地理解疾病,但其在保險與照護決策中的應用正引發越來越多的擔憂。一項名為 WISeR 的政府計畫目前因使用人工智慧拒絕老年人的醫療照護而面臨批評。立法者正試圖終止這項計畫,主張它將利潤置於病患健康之上。專家警告,雖然人工智慧具有巨大潛力,但必須謹慎使用,以避免偏見與不公平的對待。

閱讀模式 ·

Artificial intelligence (AI) is rapidly changing the world of medicine. From helping researchers create new vaccines to monitoring patient health through wearable devices, the technology offers many benefits. However, as AI becomes more common in hospitals and insurance offices, experts and lawmakers are starting to ask difficult questions about its risks. While some believe AI could one day help solve all diseases, others warn that it is already causing problems for patients who need care today.

One major area of concern is the use of AI in insurance and medical approval processes. According to STAT News, a government program called the Wasteful and Inappropriate Service Reduction program, or WISeR, has been using AI to approve or deny medical care for seniors in six U.S. states. The program is designed to target procedures that are often associated with fraud. However, critics argue that the technology is being used as a "denial device" that creates unnecessary delays in treatment. In some cases, patients are waiting longer for the care they need because an AI system decided their request was not necessary.

This situation has led to a strong reaction from lawmakers. A group of Democratic senators and representatives recently introduced resolutions to stop the WISeR program. According to STAT News, Senator Ron Wyden stated that Americans are tired of unfair rules that make healthcare harder to get. Representative Suzan DelBene also criticized the program, calling it a dangerous way to cut costs at the expense of patient health. These lawmakers argue that the program should have been approved by Congress before it started. Furthermore, there are concerns that the companies running these AI systems are paid based on how many procedures they deny, which might encourage them to reject care even when it is needed.

In response to these concerns, the Centers for Medicare and Medicaid Services (CMS) has promised to watch the program closely. CMS administrator Mehmet Oz noted that the agency will check the work of these companies to ensure that their decisions match existing medical standards. He added that any company found to be making too many mistakes will be removed from the program. Despite this, a spokesperson for CMS told STAT News that the agency still considers WISeR an active and useful model for innovation.

Beyond insurance, AI is also playing a significant role in scientific research. The Verge reports that Google DeepMind has developed tools like AlphaFold, which helps scientists understand the structure of proteins. Proteins are the building blocks of life, and understanding them is essential for creating new treatments for diseases like cancer, malaria, and Parkinson’s. By using AI, researchers can finish work that used to take years in just a fraction of the time. This technology was also helpful in speeding up the development of COVID-19 vaccines, which benefited people all over the world.

However, experts warn that we should be careful not to overstate what AI can do. While AI can help researchers find new information, it does not replace the hard work of medical science. The Verge noted that there are still significant challenges to address, including data privacy, algorithmic bias—where the computer system makes unfair decisions based on incomplete data—and ensuring that everyone around the world has equal access to these new medical tools.

Other areas of medicine are also seeing the influence of AI. According to MedPage Today, some experts argue that while AI has a place in general medicine, it could be risky to use in addiction treatment, where human connection and personal understanding are vital. As the technology continues to grow, the challenge for the future will be finding a balance. We must decide how to use the power of AI to improve health outcomes while protecting patients from the risks of automated, profit-driven decision-making. For now, the debate over how much control we should give to machines in the doctor’s office is only just beginning.

選擇題練習 · Quiz

4

  1. 細節 Detail

    1.What is the primary concern regarding the companies that operate the AI systems for the WISeR program?

  2. 推論 Inference

    2.Based on the article, what can be inferred about the government's stance on the WISeR program?

  3. 單字情境 Vocabulary

    3.In the sixth paragraph, what does the author mean by the phrase 'overstate what AI can do'?

  4. 主旨 Main Idea

    4.What is the central message of the article regarding the role of AI in medicine?

請回答全部 4 題後再提交

易誤解詞彙 · Words to watch

這些字字面意思和文中用法不同,或是不常見的詞性/片語。

target verb
To aim an action or a program at a specific group or thing.
針對;鎖定。
💡 常見作名詞(目標),這裡作動詞用。文中:The program is designed to target procedures that are often associated with fraud.
at the expense of idiom
In a way that causes harm to something else.
以犧牲……為代價。
💡 這是一個常見的慣用語,用來表達為了達成某事而犧牲了另一件重要的事物。文中:Representative Suzan DelBene also criticized the program, calling it a dangerous way to cut costs at the expense of patient health.
overstate verb
To describe something as being more important or larger than it really is.
誇大。
💡 由 over(過度)與 state(陳述)組成,容易誤以為是「過度狀態」。文中:However, experts warn that we should be careful not to overstate what AI can do.

原始來源 · Sources

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