Write for an Academic Discussion
WritingContribute to an academic discussion with at least 100 words in 10 minutes
13 ਮੁਫ਼ਤ ਟੈਸਟ · ਹਰ ਇੱਕ ਲਗਭਗ 10 ਮਿੰਟ
ਇੱਕ ਟੈਸਟ ਚੁਣੋ (13 ਉਪਲਬਧ)
- 1ਅਭਿਆਸ ਟੈਸਟ 1AI in hospital decisionsਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 2ਅਭਿਆਸ ਟੈਸਟ 2Recording university lecturesਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 3ਅਭਿਆਸ ਟੈਸਟ 3Community service for graduationਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 4ਅਭਿਆਸ ਟੈਸਟ 4Standardized testingਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 5ਅਭਿਆਸ ਟੈਸਟ 5Social media as a news sourceਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 6ਅਭਿਆਸ ਟੈਸਟ 6Required courses outside a student's majorਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 7ਅਭਿਆਸ ਟੈਸਟ 7The right to repair electronic devicesਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 8ਅਭਿਆਸ ਟੈਸਟ 8Banning single-use plastics or improving recyclingਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 9ਅਭਿਆਸ ਟੈਸਟ 9Universal basic incomeਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 10ਅਭਿਆਸ ਟੈਸਟ 10Praising children for effort or for intelligenceਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 11ਅਭਿਆਸ ਟੈਸਟ 11Tall apartment buildings or houses in the suburbsਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 12ਅਭਿਆਸ ਟੈਸਟ 12Taxing sugary drinksਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
- 13ਅਭਿਆਸ ਟੈਸਟ 13Government funding for local newsਸ਼ੁਰੂ ਨਹੀਂ ਕੀਤਾਲਗਭਗ 10 ਮਿੰਟ
ਅਭਿਆਸ ਟੈਸਟ 1 ਦੇ ਸਵਾਲ ਵੇਖੋ
ਇਸ ਟੈਸਟ ਦੇ ਸਾਰੇ ਸਵਾਲ ਇੱਥੇ ਹਨ। ਜਵਾਬ ਦੇਣ ਅਤੇ ਆਪਣੇ ਜਵਾਬ ਜਾਂਚਣ ਲਈ ਪ੍ਰੈਕਟਿਸ ਟੈਸਟ ਸ਼ੁਰੂ ਕਰੋ।
Write at least 100 words.
1. Professor: This week we have been looking at how hospitals are adopting new technology. Many hospitals now use artificial intelligence to read scans, identify patients whose condition may be getting worse, and suggest possible treatments. Supporters say these tools make care faster and more accurate. Critics worry about trusting software with decisions that affect people's lives. Before our next class, I'd like you to post your view: Should hospitals rely on AI to help make decisions about patient care? Why or why not? Kenji: I think they should. Software can compare a scan with millions of earlier cases in seconds, and in some trials it has spotted early signs of disease that doctors missed. This matters most in rural areas, where patients may wait weeks to see a specialist. A system that flags urgent cases could save lives there. Priya: I'm more cautious. An AI system learns from the data it is given, so if certain groups of patients were underrepresented in that data, its suggestions for them may be less accurate. Also, good treatment decisions depend on things a computer can't easily measure, like a patient's wishes or family situation. Write a response to the discussion. Contribute your own idea and respond to the points made.
You have 10 minutes. Your professor is teaching a class on health sciences. Write a post responding to the professor's question. Express and support your opinion and make a contribution to the discussion in your own words. Write at least 100 words.
AI in hospital decision-making
This week we have been looking at how hospitals are adopting new technology. Many hospitals now use artificial intelligence to read scans, identify patients whose condition may be getting worse, and suggest possible treatments. Supporters say these tools make care faster and more accurate. Critics worry about trusting software with decisions that affect people's lives. Before our next class, I'd like you to post your view: Should hospitals rely on AI to help make decisions about patient care? Why or why not?
Kenji
I think they should. Software can compare a scan with millions of earlier cases in seconds, and in some trials it has spotted early signs of disease that doctors missed. This matters most in rural areas, where patients may wait weeks to see a specialist. A system that flags urgent cases could save lives there.
Priya
I'm more cautious. An AI system learns from the data it is given, so if certain groups of patients were underrepresented in that data, its suggestions for them may be less accurate. Also, good treatment decisions depend on things a computer can't easily measure, like a patient's wishes or family situation.
ਇਸ ਟਾਸਕ ਬਾਰੇ
Contribute to an academic discussion with at least 100 words in 10 minutes
Write a response to an academic discussion with your own ideas
