Site icon IELTS.NET

How AI is Transforming Personalized Healthcare: An IELTS Reading Practice

AI Analyzing Mammograms

AI Analyzing Mammograms

The IELTS Reading test assesses your ability to understand and interpret written English in various contexts. Topics related to science and technology, health, and societal changes often feature due to their relevance and impact. Given the groundbreaking advancements in Artificial Intelligence (AI) and its integration into personalized healthcare, this subject has garnered significant attention and could potentially appear in future IELTS exams. This article provides an in-depth reading practice on the transformative role of AI in personalized healthcare, reflecting the IELTS Reading test format.

Reading Passage

AI’s Role in Revolutionizing Personalized Healthcare

In the ever-evolving field of healthcare, Artificial Intelligence (AI) stands out as a transformative force. Personalized healthcare, an innovative approach tailored to individual patient needs, is increasingly leveraging AI to advance its capabilities. This integration is not just promising; it is already demonstrating tangible benefits in various areas such as diagnostics, treatment plans, and patient management.

AI algorithms analyze vast amounts of medical data to identify patterns that may be overlooked by human eyes. This capability enhances the precision of diagnostics, leading to early detection of diseases like cancer, often at stages where they are more treatable. For instance, AI programs have been developed that can analyze mammograms with higher accuracy than radiologists.

AI Analyzing Mammograms

Moreover, AI personalizes treatment plans by considering an individual’s genetic information, lifestyle, and other unique factors. This method, known as precision medicine, aims to tailor treatments to patients’ specific genetic makeups, which can significantly improve their effectiveness. For example, AI-based systems are starting to determine the best drug combinations for cancer patients based on their genetic profiles.

Patient management is another area where AI is making strides. AI-powered applications monitor patients’ health in real-time, providing alerts and recommendations based on continuous data collection. This ensures timely interventions and reduces hospital readmissions. Thus, AI not only supports healthcare providers but also empowers patients to take proactive steps in managing their health.

However, the widespread implementation of AI in personalized healthcare is not without challenges. Data privacy concerns, the need for intensive computational resources, and the requirement for highly specialized knowledge to develop and maintain AI systems are significant hurdles. Addressing these challenges requires collaborative efforts from technologists, healthcare professionals, and policymakers to create robust frameworks that ensure the ethical and effective use of AI.

In conclusion, AI’s integration into personalized healthcare is revolutionizing the medical landscape. By enhancing diagnostic accuracy, personalizing treatment plans, and improving patient management, AI holds the promise of a future where healthcare is more efficient, effective, and patient-centered.

Questions

1. Identifying Information (True/False/Not Given)

  1. AI algorithms can analyze vast amounts of medical data to find unnoticed patterns.
  2. AI personalizes treatment plans without considering an individual’s genetic information.
  3. AI programs have been developed to analyze mammograms less accurately than radiologists.

2. Multiple Choice

  1. What is one of the major benefits of AI in diagnostics?
    • A. It reduces the cost of medical tests.
    • B. It delays the detection of diseases like cancer.
    • C. It identifies patterns in data that may be overlooked by humans.
    • D. It eliminates the need for radiologists.

3. Matching Sentence Endings

  1. AI-powered applications monitor patients’ health
    • A. by replacing human doctors.
    • B. with the help of radiologists.
    • C. in real-time, providing alerts based on data.
    • D. without any data collection.

4. Short-answer Questions

  1. What is another term for the method that uses AI to tailor treatments to patients’ genetic makeups?
  2. What are the main challenges hindering the widespread implementation of AI in healthcare?

Answer Keys and Explanations

True/False/Not Given

  1. True – The passage states that AI algorithms analyze vast amounts of medical data to identify patterns often overlooked by human eyes.
  2. False – The passage clearly mentions that AI personalizes treatment plans by considering an individual’s genetic information, among other factors.
  3. False – The passage indicates that AI programs can analyze mammograms with higher accuracy than radiologists.

Multiple Choice

  1. C – AI’s major benefit in diagnostics mentioned in the passage is its ability to identify patterns in data that may be overlooked by humans.

Matching Sentence Endings

  1. C – The passage discusses AI-powered applications monitoring patients’ health in real-time and providing alerts based on continuous data collection.

Short-answer Questions

  1. Precision medicine – The method that uses AI to tailor treatments to patients’ genetic makeups is referred to as precision medicine in the passage.
  2. Data privacy concerns, intensive computational resources, and specialized knowledge – The main challenges mentioned include data privacy concerns, the need for intensive computational resources, and the requirement for specialized knowledge.

Common Challenges in Reading Comprehension

Many students encounter difficulties with reading comprehension in IELTS due to the dense nature of the texts and the variety of questions. Common mistakes include misunderstanding the passage’s main idea, failing to identify key details, and confusing similar yet distinct pieces of information.

Vocabulary List

  1. Algorithm (noun) /ˈælɡəˌrɪðəm/: a process or set of rules to be followed in calculations or other problem-solving operations.
  2. Diagnostics (noun) /ˌdaɪəɡˈnɒstɪks/: techniques and tools used to determine the nature of a disease or disorder.
  3. Precision Medicine (noun) /prɪˈsɪʒən ˈmɛdɪsɪn/: a medical model that proposes the customization of healthcare, with medical decisions tailored to the individual patient.
  4. Real-time (adj) /ˈrɪəl ˈtaɪm/: the actual time during which a process or event occurs.

Grammar Focus

Passive Voice

The passage uses passive voice to emphasize actions rather than the doer, such as “AI algorithms analyze vast amounts of medical data.” The structure typically follows “subject + form of ‘to be’ + past participle.”

Example: “AI programs have been developed” (subject + form of “to be” + past participle).

Tips for a High Reading Score

  1. Skim and Scan: Quickly skim the passage to grasp the main idea and scan for specific information when answering questions.
  2. Highlight Keywords: Identify and highlight keywords or phrases during the initial read to make it easier to locate answers later.
  3. Practice Regularly: Consistent and varied reading practice enhances comprehension skills and familiarity with different text types.
  4. Understand Question Types: Familiarize yourself with different IELTS question types to develop effective strategies for each.
Exit mobile version