BCS Exam AIF Topic 15 Question 33 Discussion

Actual exam question for BCS's BCS Foundation Certificate In Artificial Intelligence exam

Question #: 33
Topic #: 15

[All BCS Foundation Certificate In Artificial Intelligence 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

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Rocco

9 days 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.

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Erasmo

11 days 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.

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Karol

12 days 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?

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Louis

13 days 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.

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Zona

15 days 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.

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Kara

16 days 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.

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