AI in Healthcare Solved MCQs

 

1. How is AI used in medical imaging?
A) To detect diseases like cancer using image analysis ✅
B) To replace radiologists entirely
C) To slow down diagnosis processes
D) To eliminate the need for doctors

2. What is the primary benefit of AI in healthcare?
A) Faster and more accurate diagnosis ✅
B) Replacing all doctors
C) Making hospitals more expensive
D) Increasing paperwork for medical staff

3. Which AI technique is commonly used for disease prediction?
A) Machine learning ✅
B) Manual data entry
C) Random guessing
D) Traditional X-ray machines

4. What is Natural Language Processing (NLP) used for in healthcare?
A) Extracting insights from medical records and patient notes ✅
B) Replacing all doctors with chatbots
C) Reducing AI use in hospitals
D) Eliminating patient-doctor communication

5. How does AI assist in robotic surgeries?
A) By providing precision and reducing human error ✅
B) By completely replacing human surgeons
C) By making surgeries slower
D) By increasing risks in the operating room

6. What is a major ethical concern of AI in healthcare?
A) Patient data privacy and security ✅
B) AI replacing all doctors
C) AI making hospitals expensive
D) AI increasing human errors

7. How can AI help in drug discovery?
A) By identifying potential drug compounds faster ✅
B) By manually testing each compound
C) By replacing all pharmacists
D) By making drug research more expensive

8. Which AI-powered system helps doctors with diagnosis?
A) Clinical Decision Support Systems (CDSS) ✅
B) Manual paper-based records
C) Traditional X-ray machines
D) Non-digital stethoscopes

9. What is one limitation of AI in healthcare?
A) AI systems may misinterpret rare diseases ✅
B) AI is 100% accurate in all cases
C) AI does not require data to function
D) AI does not impact healthcare at all

10. How does AI-powered chatbots help in healthcare?
A) By providing instant medical advice to patients ✅
B) By replacing all human doctors
C) By making hospitals unnecessary
D) By diagnosing complex surgeries

11. What is the role of AI in personalized medicine?
A) AI analyzes patient data to suggest tailored treatments ✅
B) AI prescribes the same treatment for all patients
C) AI removes the need for personalized treatments
D) AI ignores genetic factors in medicine

12. Which AI model is widely used for analyzing medical images?
A) Convolutional Neural Networks (CNNs) ✅
B) Decision trees
C) Linear regression
D) Handwritten reports

13. What is a major benefit of AI in hospital management?
A) Optimizing patient flow and reducing wait times ✅
B) Increasing paperwork for doctors
C) Replacing all hospital staff
D) Slowing down medical procedures

14. How does AI help in remote healthcare (telemedicine)?
A) By analyzing patient symptoms through virtual consultations ✅
B) By replacing all physical hospitals
C) By making healthcare inaccessible
D) By eliminating doctors’ roles

15. What type of AI is used in wearable health devices?
A) Machine learning algorithms for real-time health monitoring ✅
B) Handwritten reports
C) Non-digital thermometers
D) Paper-based patient logs

16. Why is AI useful in detecting rare diseases?
A) AI can analyze large datasets to find rare disease patterns ✅
B) AI ignores rare diseases
C) AI only detects common illnesses
D) AI slows down disease research

17. What is the use of AI in pathology?
A) AI analyzes tissue samples for faster diagnosis ✅
B) AI replaces all pathologists
C) AI slows down lab tests
D) AI removes the need for lab tests

18. How can AI help in predicting patient deterioration?
A) By analyzing real-time patient data for warning signs ✅
B) By ignoring vital signs
C) By increasing hospitalization rates
D) By delaying medical intervention

19. What is AI’s role in vaccine development?
A) AI helps identify potential vaccine candidates quickly ✅
B) AI replaces scientists
C) AI slows down vaccine research
D) AI eliminates the need for clinical trials

20. How does AI reduce medical errors?
A) By providing real-time decision support to doctors ✅
B) By making random decisions
C) By avoiding patient history analysis
D) By increasing human workload

21. Which AI technology is used for speech recognition in healthcare?
A) Natural Language Processing (NLP) ✅
B) X-ray imaging
C) Manual transcription
D) Handwritten doctor notes

22. How does AI contribute to mental health care?
A) AI-powered chatbots provide mental health support ✅
B) AI ignores mental health issues
C) AI replaces psychologists
D) AI slows down therapy sessions

23. What is AI’s impact on radiology?
A) AI helps detect abnormalities in medical scans ✅
B) AI replaces radiologists
C) AI reduces imaging accuracy
D) AI ignores tumor detection

24. What type of AI helps predict disease outbreaks?
A) Predictive analytics using big data ✅
B) Handwritten records
C) Manual calculations
D) Non-digital research papers

25. Why is AI crucial for hospital resource management?
A) AI optimizes bed availability and staff allocation ✅
B) AI increases patient wait times
C) AI eliminates human doctors
D) AI ignores patient needs

26. What is a challenge of AI-driven diagnostics?
A) AI may produce biased results if trained on unbalanced data ✅
B) AI always makes perfect diagnoses
C) AI does not require training data
D) AI never makes errors

27. How does AI improve prosthetics?
A) AI enables smart prosthetics with real-time control ✅
B) AI replaces physical therapy
C) AI eliminates prosthetic needs
D) AI slows down limb recovery

28. What is AI’s role in genomics?
A) AI helps analyze genetic data for disease risks ✅
B) AI ignores genetic factors
C) AI makes genetic studies slower
D) AI replaces DNA research

29. How does AI support medical research?
A) By analyzing large datasets for meaningful insights ✅
B) By replacing all human researchers
C) By making research slower
D) By reducing medical discoveries

30. How does AI improve patient engagement?
A) AI-powered tools help patients manage their health proactively ✅
B) AI discourages self-care
C) AI eliminates doctor-patient interaction
D) AI ignores patient feedback

31. What is a concern with AI-powered electronic health records (EHR)?
A) Data privacy and security risks ✅
B) AI improving medical record accuracy
C) AI eliminating paperwork
D) AI making patient data inaccessible

32. How does AI detect fraudulent medical claims?
A) By analyzing patterns in insurance claims data ✅
B) By ignoring fraud detection
C) By increasing healthcare costs
D) By slowing down claim processing

33. How does AI help in rehabilitation therapy?
A) AI-driven robotics assist in patient recovery ✅
B) AI eliminates therapy sessions
C) AI slows down recovery
D) AI ignores patient progress

34. How does AI assist in prenatal care?
A) AI analyzes fetal health data for risk prediction ✅
B) AI ignores pregnancy health
C) AI replaces gynecologists
D) AI eliminates prenatal screenings

35. How does AI improve ICU patient monitoring?
A) AI analyzes real-time patient data to detect critical changes ✅
B) AI replaces ICU doctors
C) AI increases patient risk
D) AI slows down emergency responses

36. What is AI’s role in detecting Alzheimer’s disease?
A) AI analyzes brain scans and cognitive patterns ✅
B) AI replaces neurologists
C) AI ignores early symptoms
D) AI increases misdiagnosis rates

37. How does AI improve medical supply chain management?
A) AI predicts demand and optimizes inventory ✅
B) AI increases waste
C) AI eliminates the need for medical logistics
D) AI slows down hospital supply deliveries

38. What is a major challenge of AI-powered diagnosis?
A) AI may lack transparency in decision-making ✅
B) AI always provides 100% accurate results
C) AI eliminates medical errors completely
D) AI does not need medical training data

39. How does AI help in detecting skin cancer?
A) AI analyzes images of skin lesions for early detection ✅
B) AI replaces dermatologists
C) AI slows down skin cancer diagnosis
D) AI ignores common skin diseases

40. How does AI-powered virtual nursing assistants help patients?
A) By providing 24/7 health monitoring and advice ✅
B) By replacing all nurses
C) By ignoring patient symptoms
D) By delaying medical attention

41. What AI technique is used for predicting patient readmission?
A) Predictive analytics using machine learning ✅
B) Handwritten notes
C) Manual tracking
D) Guesswork by hospital staff

42. How does AI support early stroke detection?
A) AI analyzes brain scans for stroke indicators ✅
B) AI ignores stroke symptoms
C) AI replaces emergency doctors
D) AI slows down treatment decisions

43. What is a key application of AI in pediatrics?
A) AI helps detect congenital diseases in newborns ✅
B) AI replaces pediatricians
C) AI ignores child health issues
D) AI eliminates vaccinations

44. How does AI improve emergency room efficiency?
A) AI triages patients based on severity levels ✅
B) AI ignores patient symptoms
C) AI eliminates emergency medical care
D) AI replaces ambulance services

45. What is AI’s role in elderly care?
A) AI-powered monitoring devices track seniors’ health ✅
B) AI ignores aging-related diseases
C) AI replaces human caregivers
D) AI eliminates senior healthcare programs

46. How does AI help in detecting diabetic retinopathy?
A) AI analyzes retinal images for early signs ✅
B) AI replaces ophthalmologists
C) AI ignores eye diseases
D) AI slows down diabetes diagnosis

47. What is AI’s impact on radiation therapy for cancer patients?
A) AI helps personalize radiation doses based on patient needs ✅
B) AI replaces oncologists
C) AI increases radiation exposure
D) AI ignores tumor size

48. How does AI contribute to public health monitoring?
A) AI analyzes disease trends for outbreak prediction ✅
B) AI replaces government health officials
C) AI eliminates the need for disease control
D) AI ignores pandemic risks

49. Why is AI important for rare disease diagnosis?
A) AI can detect patterns in large datasets that humans may miss ✅
B) AI replaces rare disease specialists
C) AI ignores uncommon medical conditions
D) AI makes rare disease diagnosis slower

50. How does AI help in reducing hospital-acquired infections?
A) AI predicts infection risks and suggests prevention strategies ✅
B) AI ignores hygiene protocols
C) AI eliminates patient monitoring
D) AI slows down infection control efforts