PTE Summarize Written Text Practice: AI’s Role in Healthcare Diagnostics

The Summarize Written Text task in the PTE Speaking & Writing section is a challenging but essential part of the test. It requires candidates to distill the main points of a given text into one sentence between 5 and 75 words. In particular, topics related to healthcare and technology, including AI’s role in healthcare diagnostics, are frequently addressed.

In this article, we’ll provide practice text samples, answer guides, and insights, all tailored for the Summarize Written Text task. These exercises will help you familiarize yourself with relevant vocabulary, improve your summary skills, and understand how AI is transforming healthcare diagnostics.

AI’s Role in Healthcare Diagnostics Summarize Written Text Sample 1

Prompt:

Artificial Intelligence (AI) is becoming increasingly significant in healthcare diagnostics, empowering medical professionals to detect diseases faster and more accurately than ever before. By analyzing vast amounts of medical data, AI systems can identify patterns that may be overlooked by human doctors. One example is AI’s role in diagnosing certain cancers from medical images, which has proven to be highly efficient and sometimes even more accurate than traditional methods. Additionally, AI is being used to predict patient outcomes based on historical data, assisting in creating personalized treatment plans. As healthcare continues to evolve, AI’s potential in diagnostics is expected to broaden and enhance patient care.

Task:
Write a one-sentence summary of the text written above.

Sample Responses

Band 90 Response

Artificial Intelligence is revolutionizing healthcare diagnostics by identifying patterns that may be overlooked by medical professionals, diagnosing diseases such as cancers with greater accuracy, and assisting in personalized treatment planning through data analysis.

Evaluation

• Content: The response accurately captures the entire scope of AI’s role in healthcare diagnostics, from pattern recognition and cancer diagnosis to personalized treatment.
• Form: The summary uses one sentence within the word limit.
• Grammar: The sentence is grammatically correct with appropriate use of conjunctions and clauses.
• Vocabulary: Advanced vocabulary such as “revolutionizing” and “diagnosing” is employed effectively.
• Spelling: No spelling errors are present.

AI assisting in healthcare diagnostics and cancer detection

Band 75 Response

AI is helping doctors to detect diseases like cancers early, predict patient outcomes, and assist in creating personalized treatment by analyzing medical data.

Evaluation

• Content: The key points about AI’s use in cancer detection and predicting outcomes are covered, but the broader context of diagnostics modernization is slightly less emphasized.
• Form: It follows the one-sentence format and is within the word limit.
• Grammar: Appropriate grammar is used, though the sentence structure is simpler compared to the Band 90 response.
• Vocabulary: Words like “detecting diseases” and “predicting outcomes” are correctly utilized, but less sophisticated.
• Spelling: No errors.

Band 65 Response

Artificial Intelligence is used to help doctors find diseases earlier and make better treatment plans.

Evaluation

• Content: The summary provides a basic understanding but lacks the detailed examples of specific diseases like cancer or concepts like personalized treatment.
• Form: The sentence is brief and to the point, within the limit.
• Grammar: Simple yet correct sentence structure.
• Vocabulary: Use of simple terms like “find” and “help” weakens the technical tone.
• Spelling: No errors.

AI’s Role in Healthcare Diagnostics Summarize Written Text Sample 2

Prompt:

The integration of AI into healthcare diagnostics is transforming patient care by reducing human error and speeding up the diagnosis process. AI-powered systems can examine lab results, radiology scans, and patient history to detect early signs of chronic illnesses, predict future health risks, and recommend preventive measures. For example, AI tools in radiology have identified abnormalities in medical images that were missed by radiologists. As AI capabilities expand, there is growing trust in these systems, and they are becoming indispensable in helping doctors provide accurate, timely diagnoses while enhancing overall patient outcomes.

Task:
Write a one-sentence summary of the text written above.

Sample Responses

Band 90 Response

AI is fundamentally transforming healthcare diagnostics by reducing human error, speeding up diagnoses, identifying early signs of chronic illnesses, and becoming indispensable in improving patient outcomes.

Evaluation

• Content: The response encapsulates core concepts, including human error reduction, speeding up processes, early illness detection, and enhancement of diagnoses.
• Form: It meets the sentence and word limits.
• Grammar: Advanced use of clauses and phrases.
• Vocabulary: Sophisticated terms such as “transforming,” “reducing human error,” and “speeding up diagnoses” are used effectively.
• Spelling: No misspelling issues.

Band 75 Response

AI is increasingly helping doctors reduce mistakes in healthcare diagnostics, quickly find diseases, and improve patients’ health outcomes.

Evaluation

• Content: Covers the primary objective but omits the specifics of lab results or radiology scans.
• Form: Sentence length and structure align with the task requirements.
• Grammar: There is appropriate use of verb forms and composition.
• Vocabulary: Basic, yet effective word choices. Slightly more common or general vocabulary.
• Spelling: No mistakes found.

AI analyzing radiology scans for errors and chronic illness signs

Band 65 Response

AI is used by doctors to reduce errors and find diseases faster.

Evaluation

• Content: Simplifies and omits key aspects like early detection, preventive recommendations, and diagnosed conditions.
• Form: The sentence is concise with no structural problems.
• Grammar: Straightforward with no grammar mistakes.
• Vocabulary: Basic words like “reduce” and “find” limit it from scoring higher.
• Spelling: No errors.

Vocabulary and Grammar Review

Below are 10 important words from these texts which could be useful in your writing for the PTE exam:

1. Empower (/ɪmˈpaʊər/) – To give authority or power.
   Example: AI systems empower doctors to make faster diagnostics.

2. Predict (/prɪˈdɪkt/) – To say what will happen in the future based on current information.
   Example: AI can predict patient outcomes by analyzing data.

3. Personalized (/ˈpɜːrsəˌnaɪzd/) – Tailored to the individual.
   Example: AI helps create personalized treatment plans.

4. Vast (/væst/) – Enormous, very large.
   Example: AI can process vast amounts of medical data.

5. Chronic (/ˈkrɒnɪk/) – Persistent or long-lasting (typically referring to diseases).
   Example: Chronic illnesses can be detected early using AI diagnostics.

6. Radiology (/reɪdiˈɒlədʒi/) – The branch of medicine dealing with imaging.
   Example: AI in radiology is identifying abnormalities missed by humans.

7. Outcome (/ˈaʊtˌkʌm/) – The result or consequence of something.
   Example: AI improves patient treatment outcomes.

8. Abnormality (/ˌæbnɔːˈmæləti/) – Something unusual or unexpected.
   Example: AI detected an abnormality in the patient’s scan.

9. Timely (/ˈtaɪmli/) – Happening at the right time.
   Example: AI provides timely diagnostic support.

10. Indispensable (/ˌɪndɪˈspɛnsəbəl/) – Absolutely necessary or essential.
    Example: AI has become indispensable in modern healthcare systems.

Conclusion

By practicing Summarize Written Text tasks focusing on AI’s role in healthcare diagnostics, you can enhance your performance in the PTE exam. This topic not only tests summarization skills but also familiarizes you with essential concepts shaping modern healthcare. Keep practicing similar topics and challenge yourself to craft concise, accurate summaries within the word limit. For further exploration about AI’s impact in healthcare, visit our article about AI’s Role in Personalized Healthcare.