BCS Exam AIF Topic 15 Question 33 Discussion

Actual exam question for BCS's AIF exam

Question #: 33
Topic #: 15

[All AIF Questions]

Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?

AAutonomous wheelchairs.

BAutomated blood sampling.

CAutonomous vehicles.

DDiagnostic image analysis

Show Suggested Answer

Suggested Answer: D

Healthcare can benefit from AI, and in particular Machine Learning, in a number of ways. One example is diagnostic image analysis, which can help to automatically identify and classify abnormalities in medical images such as X-rays, CT scans, and MRI scans. Machine Learning algorithms can be used to detect patterns in the data which can be used to accurately diagnose diseases and illnesses.

References: [1]https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf[2]https://www.apmg-international.com/en/qualifications-and-certifications/bc-foundation-certificate-in-artificial-intelligence/[3]https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial-intelligence/[4]https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859976/

by Caprice at Apr 08, 2024, 01:57 PM

Limited Time Offer

25%

Off

Get Premium AIF Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Wilford

5 months ago

I agree, Eve. Automated blood sampling could save time and resources in healthcare settings.

upvoted 0 times

...

Youlanda

5 months ago

I believe B) Automated blood sampling could also be a valuable application of Machine Learning in healthcare, reducing human error and improving efficiency.

upvoted 0 times

...

Emile

5 months ago

That's an interesting point, Carol. Autonomous wheelchairs could definitely improve the quality of life for some patients.

upvoted 0 times

...

Long

5 months ago

I think A) Autonomous wheelchairs could also be a benefit in healthcare, especially for patients with mobility issues.

upvoted 0 times

...

Leota

5 months ago

I agree with you, Diagnostic image analysis can improve accuracy and efficiency in healthcare.

upvoted 0 times

...

Hoa

5 months ago

I think healthcare can benefit from Machine Learning. An example could be D) Diagnostic image analysis.

upvoted 0 times

...

Brittney

6 months ago

That's true, autonomous wheelchairs can improve mobility for patients.

upvoted 0 times

...

Mozell

6 months ago

I feel like A) Autonomous wheelchairs could also be really beneficial for healthcare.

upvoted 0 times

...

Tu

6 months ago

I agree with Brittney, diagnostic image analysis can help in early detection of diseases.

upvoted 0 times

...

Brittney

7 months ago

I think D) Diagnostic image analysis can benefit healthcare the most.

upvoted 0 times

...

Rocco

7 months ago

Absolutely. Diagnostic image analysis is already making a big difference in areas like cancer detection and brain injury assessment. It's a total game-changer for healthcare.

upvoted 0 times

...

Erasmo

7 months ago

Haha, right? That's a pretty weird option. Although, I guess you could have self-driving ambulances or something. But still, not as impactful as AI-powered diagnostics in my opinion.

upvoted 0 times

...

Karol

7 months ago

You guys make a good point. I was also leaning towards D, but I'm curious what the other options are about. Autonomous vehicles in healthcare? What, are they going to drive the patients around themselves?

upvoted 0 times

...

Louis

7 months ago

Yeah, I was thinking the same thing. Autonomous wheelchairs and vehicles are cool, but they're not really 'healthcare' applications. Automated blood sampling is neat, but I think diagnostic image analysis is a more prominent example of how AI is improving healthcare.

upvoted 0 times

...

Zona

7 months ago

I agree, D) Diagnostic image analysis seems like the best option. AI-powered image analysis can detect patterns and anomalies that even the most experienced radiologists might miss.

upvoted 0 times

...

Kara

8 months ago

Hmm, this is an interesting question. I'm pretty sure the answer is D) Diagnostic image analysis. Machine learning has been really effective in analyzing medical images like X-rays and CT scans to help with diagnosis.

upvoted 0 times

Bonita

6 months ago

I agree, it has improved the accuracy and speed of diagnosing various conditions.

upvoted 0 times

...

Lashaunda

6 months ago

I think you're right, D) Diagnostic image analysis is a great example of how AI can help in healthcare.

upvoted 0 times

...