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What is the impact of AI on decision-making and error reduction in Healthcare?

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What is the impact of AI on decision-making and error reduction in Healthcare?

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Challenges and Risks of AI and how it affects us.

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Challenges and Risks of AI and how it affects us.

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AI can identify diseases more quickly and often earlier than humans.

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• AI can aid in precision tasks and support surgical procedures.

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• AI helps to Reduce healthcare workers’ paperwork, allowing more time with patients.

• Lancet: “AI advancements will help ease the workload on health care workers and give more face time with patients.”

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Help people understand how AI makes decisions and stop it from making up incorrect information

“To make the most of AI in healthcare, professionals need to make its decision-making clearer and ensure it’s accurate and reliable.”

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Reducing risks and not completely relying on AI in the healthcare field.  

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Reducing risks and not completely relying on AI in the healthcare field.  

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Ensure AI safety and reliability while improving its strengths in diagnostics and administrative tasks.

“Finding the right balance between using AI’s benefits and keeping it safe will be crucial for better patient care."

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• Difficulty in understanding how AI makes decisions:

• “One of the biggest criticisms concerning the integration of AI, particularly DL [deep learning], to medicine is the idea that AI is a ‘black box’” (Coryander 557).

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It lacks Transparency (It can be wrong sometimes)

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It lacks Transparency (It can be wrong sometimes)

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• Potential for Mistakes and False Information

• Generating incorrect data or forming information that does not exist

• Lancet: “Large language models can make mistakes easily missed by humans or hallucinate non-existent sources.”

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• Errors in diagnosis or treatment plans could lead to harmful consequences which could lead to someone losing their life