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- Directions for Question :<span
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- #Common Admission Test
Directions for Question : Read the passage given below and answer the questions with the most appropriate choice.
The advent of artificial intelligence (AI) has revolutionised various industries, including healthcare. AI applications in healthcare range from streamlining administrative tasks to making more accurate diagnoses. One of the most promising areas of AI in healthcare is the development of predictive models for patient outcomes. By analysing vast amounts of patient data, AI algorithms can identify patterns and make predictions about a patient's health trajectory.
However, the integration of AI into healthcare is not without its challenges. One of the primary concerns is data privacy and security. With the sensitive nature of medical information, it is crucial to ensure that patient data is protected from unauthorised access. Additionally, there is a need for rigorous testing and validation of AI algorithms to ensure their accuracy and reliability.
Despite these challenges, the potential benefits of AI in healthcare are immense. It can lead to more personalised treatment plans, improved patient outcomes, and increased efficiency in healthcare delivery. As AI continues to advance, it has the potential to transform the way healthcare is practised and revolutionise patient care on a global scale.
Question:
How does AI contribute to making more accurate diagnoses in healthcare?
By streamlining administrative tasks
By analyzing patient data to identify patterns and make predictions
By reducing the need for rigorous testing
By minimizing the importance of data privacy
Answers (1)
The passage explains that AI contributes to making more accurate diagnoses in healthcare by analysing patient data to identify patterns and make predictions about a patient's health trajectory. This means that AI uses data analysis to improve the accuracy of diagnoses.
