AI in Radiology: Challenges and Opportunities

AI in Radiology: Challenges and Opportunities

Assessment

Interactive Video

•

Computers

•

11th - 12th Grade

•

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of convolutional neural networks in radiology?

To replace radiologists entirely

To perform surgeries

To manage hospital administration

To recognize patterns in medical images

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why can't AI currently replace radiologists?

AI lacks the ability to perform surgeries

AI cannot interpret images as fast as humans

AI is too expensive to implement

AI lacks clinical reasoning and context integration

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant challenge in implementing AI in hospitals?

Lack of interest from medical professionals

High cost of AI technology

AI's inability to process large datasets

Legal and ethical issues

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a limitation of generalized AI models like ChatGPT in radiology?

They have limited diagnostic accuracy

They are too slow to be practical

They are not user-friendly

They require too much data storage

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do radiologists contribute beyond generating reports?

By communicating with other physicians and patients

By managing hospital finances

By developing AI models

By performing surgeries

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What legal challenge arises with AI making diagnostic errors?

AI systems not being user-friendly

AI systems being too expensive

Determining who is responsible for the error

AI systems being too slow

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can AI assist radiologists in their work?

By managing hospital staff

By performing surgeries

By improving efficiency and workflow

By replacing them entirely

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