NCA-AIIO exam dumps

NCA-AIIO practice question 30 of 119

NVIDIA-Certified Associate - AI Infrastructure and Operations. Free level, NVIDIA. Free question with the correct answer and a full explanation.

NCA-AIIO Question 30

Select 3

An organization in the healthcare industry wants to improve patient outcomes by leveraging artificial intelligence. Which of the following AI use cases are most relevant to this industry?

  1. A

    Medical imaging analysis to detect anomalies such as tumors

  2. B

    Predictive maintenance for industrial machinery

  3. C

    Drug discovery and development using AI-driven simulations

  4. D

    Personalized treatment plans based on patient data and historical trends

  5. E

    Fraud detection in financial transactions

Show answer and explanation

Correct answers: A, C, D

Explanation

In the healthcare industry, AI is widely used for tasks such as medical imaging analysis, drug discovery, and personalized treatment plans. These use cases address critical challenges in improving patient outcomes and healthcare processes. Predictive maintenance and fraud detection, while important in other industries, are not directly relevant to healthcare's primary objectives.

  • A. Correct.

    Medical imaging analysis is a key AI use case in healthcare. AI can assist in analyzing CT scans, MRIs, and X-rays to detect anomalies such as tumors or other abnormalities with high accuracy.

  • B. Incorrect.

    Predictive maintenance is more relevant to industries like manufacturing and automotive, where equipment failure can be anticipated using AI. It is not a primary use case for healthcare.

  • C. Correct.

    Drug discovery and development is a significant AI use case in the healthcare industry. AI-driven simulations and analysis can accelerate the identification of potential drug candidates and optimize clinical trials.

  • D. Correct.

    Personalized treatment plans are a prominent AI use case in healthcare. By analyzing patient data, AI can help create tailored treatment strategies, improving patient outcomes.

  • E. Incorrect.

    Fraud detection is a common AI use case in the financial sector, focusing on identifying fraudulent transactions. It is not directly applicable to healthcare.

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