CT-AI · Question #122
A system is to be developed to detect lung cancer using X-ray images. Which statement BEST describes the difference between a conventional system and an AI system with supervised machine learning?
The correct answer is C. An AI system independently determines patterns in X-rays during training; a conventional system. The syllabus explains the fundamental distinction between conventional systems and AI-based systems using supervised machine learningin Section1.3 - AI-Based and Conventional Systems. A conventional system relies on human-programmed logic--such as branches, conditions, and…
Question
A system is to be developed to detect lung cancer using X-ray images. Which statement BEST describes the difference between a conventional system and an AI system with supervised machine learning?
Options
- AThe results of analyzing an X-ray for lung cancer using an AI system are more understandable
- BThe X-ray images that an AI system can analyze must be structurally different from X-ray images
- CAn AI system independently determines patterns in X-rays during training; a conventional system
- DThe implementation of an AI system consists mainly of training data, whereas that of a
How the community answered
(44 responses)- A9% (4)
- B16% (7)
- C73% (32)
- D2% (1)
Explanation
The syllabus explains the fundamental distinction between conventional systems and AI-based systems using supervised machine learningin Section1.3 - AI-Based and Conventional Systems. A conventional system relies on human-programmed logic--such as branches, conditions, and explicit rules--to interpret input data. The system behaves exactly as specified by its developers. In contrast, AI systems using supervised learning automatically learn patterns from labeled data. The syllabus states that"patterns in data are used by the system to determine how it should react in the future... The AI determines on its own what patterns or features in the data can be used". This aligns directly with Option C: an AI system identifies relevant diagnostic patterns in X-ray images during training, whereas a conventional system requires human experts to explicitly program those patterns.
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