A hospital implements an AI system to assist doctors in diagnosing diseases based on historical patient data. Which one of the following model types best describes this system?
The best answer is C. Probabilistic.
An AI system that assists doctors in diagnosing diseases based on historical patient data typically relies on probabilistic models. These models analyze patterns in the data and calculate the likelihood of various diagnoses based on probabilities, accounting for uncertainty and variability in patient symptoms and outcomes.
The AI system in the hospital uses historical patient data to assist in diagnosing diseases, which means it is making predictions or conclusions based on input data — this is the core of inference in AI.
Let’s quickly go over the options:
A. Inference: ✅ This is the process where a trained model makes predictions or decisions based on new data. In this case, the AI uses past data to make diagnostic suggestions — a classic use of inference.
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