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MCQs with answers on the topic “Artificial Intelligence in Healthcare: Opportunities and Ethical Issues”

  • Posted by ScientiaTutorials.in
  • Date 06/12/2024
  • Categories Science and Technology
  • Tags CBSE Study Materials, Important topics for IAS, MCQs for competitive exams, Mcqs for entrance exams, MCQs with answer for CBSE, Private tutors in Guwahati, Science and Technology for TNPSC, Science topics for competitive exams

1. What is the primary purpose of Artificial Intelligence (AI) in healthcare?

A) To replace doctors
B) To enhance the decision-making process
C) To conduct surgeries
D) To manage hospital operations

Answer: B) To enhance the decision-making process


2. Which of the following is a major advantage of AI in healthcare?

A) High cost of implementation
B) Reducing human error
C) Complete replacement of healthcare professionals
D) Lack of necessary data

Answer: B) Reducing human error


3. What is a common use of AI in diagnostic healthcare?

A) To develop vaccines
B) To predict patient behavior
C) To assist in image recognition for detecting diseases
D) To conduct surgeries autonomously

Answer: C) To assist in image recognition for detecting diseases


4. Which technology does AI rely on for processing large amounts of medical data?

A) Blockchain
B) Quantum computing
C) Machine learning and deep learning
D) 5G networks

Answer: C) Machine learning and deep learning


5. Which of the following is a key ethical issue related to AI in healthcare?

A) Over-reliance on technology
B) Improved diagnosis
C) Reduced patient costs
D) Enhanced medical research

Answer: A) Over-reliance on technology


6. In AI-powered healthcare systems, which of the following is most crucial for ethical use?

A) Medical insurance policies
B) Transparency and accountability
C) Physician replacement
D) Financial incentives for hospitals

Answer: B) Transparency and accountability


7. Which AI application in healthcare assists in drug discovery and development?

A) Virtual assistants
B) Predictive analytics
C) Robotics in surgery
D) Natural language processing (NLP)

Answer: B) Predictive analytics


8. What major challenge does AI face in diagnosing rare diseases?

A) Lack of skilled professionals
B) Limited data for training algorithms
C) High cost of AI systems
D) Lack of AI models for common diseases

Answer: B) Limited data for training algorithms


9. Which regulatory issue is a major concern for AI in healthcare?

A) Lack of proper funding
B) Absence of government monitoring
C) Inconsistent healthcare data standards
D) Lack of medical professionals’ involvement

Answer: C) Inconsistent healthcare data standards


10. AI can improve patient care by:

A) Replacing doctors in all procedures
B) Providing faster diagnostic tools
C) Reducing the need for human intervention
D) Increasing patient waiting times

Answer: B) Providing faster diagnostic tools


11. How can AI help in personalized healthcare?

A) By providing generalized treatments
B) By predicting health risks based on genetic and environmental factors
C) By eliminating the need for doctors
D) By reducing medical research funding

Answer: B) By predicting health risks based on genetic and environmental factors


12. Which of the following is a major concern in using AI for patient privacy?

A) High accuracy in predictions
B) Data breaches and unauthorized access to personal health data
C) Reducing human error in healthcare
D) Increased patient satisfaction

Answer: B) Data breaches and unauthorized access to personal health data


13. Which AI technique is commonly used for analyzing medical images, such as X-rays and MRIs?

A) Deep learning
B) Blockchain technology
C) Augmented reality
D) Voice recognition

Answer: A) Deep learning


14. Which of the following is an ethical issue concerning the use of AI in healthcare data collection?

A) Transparency in algorithm decisions
B) Cost reduction in medical procedures
C) Shortening patient waiting time
D) Increasing healthcare workers’ wages

Answer: A) Transparency in algorithm decisions


15. In AI, what does “machine learning” primarily refer to in healthcare?

A) Machine-designed surgery tools
B) Machines improving based on experience/data
C) Using robots for treatment
D) Collecting data for privacy violations

Answer: B) Machines improving based on experience/data


16. Which of the following would be a primary benefit of AI in telemedicine?

A) Reducing patient-doctor interaction
B) Improving access to medical professionals in remote areas
C) Eliminating the need for health insurance
D) Decreasing the need for mobile health apps

Answer: B) Improving access to medical professionals in remote areas


17. AI-based systems that provide virtual consultations are called:

A) Neural networks
B) Chatbots
C) Predictive tools
D) Virtual assistants

Answer: D) Virtual assistants


18. Which challenge related to AI in healthcare concerns the general public?

A) Fear of technology replacing healthcare professionals
B) High cost of healthcare
C) Over-reliance on human decision-making
D) Lack of technological advancements

Answer: A) Fear of technology replacing healthcare professionals


19. What is an example of a potential bias in AI healthcare algorithms?

A) Diagnosing all patients as healthy
B) AI models favoring data from specific demographics over others
C) Incorrect data handling
D) Human intervention in decision-making

Answer: B) AI models favoring data from specific demographics over others


20. How does AI help in predictive healthcare analytics?

A) By diagnosing diseases after they manifest
B) By predicting outbreaks and future health risks based on historical data
C) By increasing hospital staff
D) By removing the need for early diagnosis

Answer: B) By predicting outbreaks and future health risks based on historical data


21. What is one of the ethical risks in using AI for patient diagnosis?

A) Increased job opportunities for healthcare professionals
B) Reduction in healthcare costs
C) Algorithmic bias leading to unequal treatment
D) Better patient outcomes

Answer: C) Algorithmic bias leading to unequal treatment


22. Which regulatory body is responsible for ensuring the ethical use of AI in healthcare in the United States?

A) European Medicines Agency (EMA)
B) Food and Drug Administration (FDA)
C) World Health Organization (WHO)
D) National Health Service (NHS)

Answer: B) Food and Drug Administration (FDA)


23. Which of the following AI applications in healthcare enhances drug delivery methods?

A) Predictive modeling
B) Robotics for surgery
C) AI-driven personalized medication
D) Blockchain-based drug tracking

Answer: C) AI-driven personalized medication


24. Which of the following is NOT an ethical issue surrounding the implementation of AI in healthcare?

A) Data privacy concerns
B) Potential for job displacement
C) AI making decisions without human supervision
D) Improved access to healthcare in rural areas

Answer: D) Improved access to healthcare in rural areas


25. AI-based diagnostic systems in healthcare often use data from:

A) Human physicians only
B) Open-source databases and imaging tools
C) Non-healthcare-related industries
D) Patient surveys and feedback

Answer: B) Open-source databases and imaging tools


26. Which AI technology can be used for detecting early signs of diseases like cancer?

A) Facial recognition
B) Deep learning for medical imaging analysis
C) Voice assistants
D) Blockchain algorithms

Answer: B) Deep learning for medical imaging analysis


27. What is the main concern about AI replacing human doctors in healthcare?

A) AI will reduce healthcare costs
B) Loss of human empathy and personalized care
C) AI will improve diagnosis speed
D) AI will eliminate healthcare errors

Answer: B) Loss of human empathy and personalized care


28. AI-driven predictive healthcare analytics primarily depends on:

A) Blockchain technology
B) Real-time data from wearable devices
C) Paper-based records
D) Health insurance models

Answer: B) Real-time data from wearable devices


29. Which of the following is NOT an ethical principle for the use of AI in healthcare?

A) Transparency
B) Data privacy
C) Autonomy in decision-making
D) Complete replacement of human staff

Answer: D) Complete replacement of human staff


30. Which of the following is a positive outcome of AI in healthcare?

A) Increased treatment costs
B) Greater accuracy in diagnostics
C) Decreased access to healthcare
D) Overuse of healthcare resources

Answer: B) Greater accuracy in diagnostics

Tag:CBSE Study Materials, Important topics for IAS, MCQs for competitive exams, Mcqs for entrance exams, MCQs with answer for CBSE, Private tutors in Guwahati, Science and Technology for TNPSC, Science topics for competitive exams

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