AI can make more accurate diagnoses and prescriptions by quickly analyzing a patient's medical record and relating it to large databases with laboratory, genetic, and demographic information.

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Answer

Pro: Using predictive models, AI can use this data to successfully diagnose patients with certain ailments before they even begin showing symptoms.

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Con: Medical AI systems are liable to draw incorrect conclusions from raw data it receives, as it often does not take into consideration the assumptions that clinicians use.

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Pro: Some ailments, like asthma, have several potential treatments, but it may be difficult for doctors to identify which will work best for a specific patient.

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Pro: AI systems have a signficantly higher probability of correctly diagnosing patients compared to human doctors.

Should human doctors be replaced by automated ones?

AI can make more accurate diagnoses and prescriptions by quickly analyzing a patient's medical record and relating it to large databases with laboratory, genetic, and demographic information.

Pros

Cons

Using predictive models, AI can use this data to successfully diagnose patients with certain ailments before they even begin showing symptoms.

Some ailments, like asthma, have several potential treatments, but it may be difficult for doctors to identify which will work best for a specific patient.

AI systems have a signficantly higher probability of correctly diagnosing patients compared to human doctors.

Medical AI systems are liable to draw incorrect conclusions from raw data it receives, as it often does not take into consideration the assumptions that clinicians use.

Selected claim, supporting its parent

AI can make more accurate diagnoses and prescriptions by quickly analyzing a patient's medical record and relating it to large databases with laboratory, genetic, and demographic information.

Pro claim 1, children below

Using predictive models, AI can use this data to successfully diagnose patients with certain ailments before they even begin showing symptoms.

Pro claim 2

Some ailments, like asthma, have several potential treatments, but it may be difficult for doctors to identify which will work best for a specific patient.

Pro claim 3

AI systems have a signficantly higher probability of correctly diagnosing patients compared to human doctors.

Con claim 1

Medical AI systems are liable to draw incorrect conclusions from raw data it receives, as it often does not take into consideration the assumptions that clinicians use.