Sample PTE Summarize Written Text about Artificial Intelligence in Medical Research

In the PTE Summarize Written Text section of the Speaking & Writing task, you’ll face a challenge of summarizing long texts into one concise sentence. One trending topic that frequently appears is about advanced technologies and how they impact fields like medical research. Today, we’ll dive into a Summarize Written Text example based on the powerful application of Artificial Intelligence (AI) in medical research.

Example Prompt 1: Artificial Intelligence in Medical Research

Artificial intelligence (AI) has significantly revolutionized medical research by improving diagnostic accuracy and enabling predictive analytics. AI algorithms can analyze vast amounts of patient data to detect patterns that might be missed by the human eye. One noteworthy application is AI’s role in cancer diagnosis, where it has been utilized to examine medical imaging with high precision. AI also shows potential in drug discovery, accelerating the process by predicting which compounds are likely to work effectively and safely in clinical trials. The integration of AI in medical research not only reduces human error but also increases efficiency, potentially leading to faster treatment innovations.

Your task: Using the information provided, summarize the text into one concise sentence.

Sample Answer – High Band Score (90-79)

Artificial intelligence has revolutionized medical research by improving diagnostic accuracy, speeding up drug discovery, and increasing efficiency, allowing for faster treatment innovations while reducing human error.

• Content: High relevance to all aspects of the text, covering diagnostics, drug discovery, and AI’s benefits in medical research.
• Form: Only one complete sentence used, adhering to the length limits.
• Grammar: Correct and well-structured.
• Vocabulary: Appropriate use of words like “revolutionized”, “efficiency”, and “innovations”.
• Spelling: No mistakes found.

AI improves diagnostic accuracy and drug discovery in medical research

Sample Answer – Mid Band Score (78-65)

AI has helped medical research by improving diagnostics, increasing accuracy, and helping with drug discovery.

• Content: Covers key points but lacks the depth of explanation in some areas, particularly about reducing human error and increasing efficiency.
• Form: Correct single sentence.
• Grammar: Satisfactory, though simplified compared to the high band score version.
• Vocabulary: Adequately used, though more basic words chosen (“helped medical research” rather than “revolutionized”).
• Spelling: No issues.

Sample Answer – Low Band Score (64-50)

In medical research, AI is used to find patterns and help diagnose diseases.

• Content: While correct, this sentence omits several critical points, such as drug discovery and efficiency improvements.
• Form: Limited, with a very basic structure.
• Grammar: Simple and lacks complexity.
• Vocabulary: Simplistic vocabulary, missing key terminologies such as “diagnostic accuracy” or “human error”.
• Spelling: Correct, but the sentence was weak in other scoring areas.

Example Prompt 2: AI’s Role in Clinical Trials

Artificial intelligence (AI) plays a transformative role in the management and optimization of clinical trials, offering ways to process complex datasets quickly and efficiently. AI tools can help identify which patients are most likely to benefit from new treatments, thus ensuring a targeted and effective approach. By predicting outcomes and monitoring ongoing studies in real time, AI can minimize risks and improve the overall success rates of these trials. From reducing costs to accelerating the timeline of clinical trials, AI significantly aids in improving healthcare outcomes.

Your task: Using the information provided, summarize the text into one concise sentence.

Sample Answer – High Band Score (90-79)

AI is transforming clinical trials by improving patient targeting, reducing costs, accelerating timelines, and enhancing healthcare outcomes through predictive analytics and real-time monitoring.

• Content: Emphasizes all of the important elements, highlighting AI’s transformative nature in clinical trials.
• Form: Single sentence, well-composed.
• Grammar: Perfect, with a strong structure.
• Vocabulary: Advanced and appropriate, featuring terms like “transforming”, “accelerating” and “predictive analytics”.
• Spelling: Flawless.

AI tools help target patients and monitor trials in real-time

Sample Answer – Mid Band Score (78-65)

AI improves clinical trials by helping identify suitable patients and predicting outcomes, which can reduce cost and time.

• Content: Includes the core ideas but leaves out some key details like real-time monitoring and the emphasis on improving healthcare outcomes.
• Form: Adheres to the form requirements with one sentence.
• Grammar: Satisfactory with minor simplifications.
• Vocabulary: Basic, with essential words included but lacking depth.
• Spelling: Correct.

Sample Answer – Low Band Score (64-50)

AI has potential to help in clinical trials by saving time and money.

• Content: The sentence is overly generalized and lacks any mention of patient targeting or predictive analytics, making it too vague.
• Form: Acceptable, as it is only one sentence.
• Grammar: Simple but limiting.
• Vocabulary: Basic, with insufficient explanation of the complex ideas presented in the text.
• Spelling: No mistakes, but falls short in content and vocabulary.

Vocabulary and Grammar Tips

Here are some key vocabulary terms from the sample text that could improve your understanding and writing fluency:

1. Revolutionize /ˌrevəˈluːʃəˌnaɪz/ (verb): To fundamentally change or transform something.

   • AI has revolutionized the way we approach medical research.

2. Diagnostic /daɪəgˈnɒstɪk/ (adjective): Related to the identification of diseases or problems.

   • Advanced diagnostic tools rely heavily on AI.

3. Predictive Analytics /prɪˈdɪktɪv əˈnælɪtɪks/ (noun): The use of historical data to predict future outcomes.

   • Predictive analytics can forecast treatment outcomes with high accuracy.

4. Efficiency /ɪˈfɪʃənsi/ (noun): The ability to accomplish a task with minimal wasted time or resources.

   • AI boosts the efficiency of medical research processes.

5. Compound /ˈkɒmpaʊnd/ (noun): A substance formed from two or more elements.

   • AI helps in predicting the effectiveness of different compounds in drug trials.

6. Clinical Trials /ˈklɪnɪkəl traɪəlz/ (noun): Research studies aimed at testing treatments in patients.

   • AI can expedite clinical trials by streamlining various processes.

7. Outcomes /ˈaʊtˌkʌmz/ (noun): The results or consequences of actions or decisions.

   • The application of AI improves patient outcomes in clinical studies.

8. Error /ˈɛrər/ (noun): A mistake that leads to incorrect results.

   • AI can reduce human error in diagnosing diseases.

9. Optimization /ˌɒptɪmɪˈzeɪʃən/ (noun): The action of making the best use of resources.

   • AI systems are designed for the optimization of data processing.

10. Algorithm /ˈælgərɪðəm/ (noun): A set of rules or procedures for solving a problem.

    • AI algorithms analyze patient data efficiently.

Conclusion

In the Summarize Written Text task in the PTE Speaking & Writing section, practicing with Artificial Intelligence In Medical Research topics prepares you well for actual tests, especially since subjects like medical innovation and AI are common. It’s crucial to focus on mastering the specific requirements: writing one concise sentence that includes the most relevant points. Bear in mind that repeated practice with multiple scenarios can significantly improve your performance.

For more practice examples on AI’s influence across other scientific disciplines, check out this resource on Artificial intelligence in scientific research. We encourage you to leave a comment or question about your preparation experiences!