Introduction India, with its immense human capital and burgeoning economy, is at a pivotal juncture…
MCQs with answers on the topic “Artificial Intelligence in Healthcare: Opportunities and Ethical Issues”
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
