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Artificial Intelligence (AI) for Personalized Medicine

a. If you were planning to do an experimental design for your topic (Artificial Intelligence (AI) for Personalized Medicine), which design option would you choose? Be sure to identify and explain the design you chose and why.

b. Next, be as specific as you can about how you would apply that design to your topic.

c. Lastly, for the design that you chose, what potential threats to validity must be guarded against?

Answer :

a. Selection of Experimental Design: RCTs offer robust control over variables, making them ideal for researching AI in personalized medicine.

b. Application of the Design: Patients would be randomly assigned to receive either traditional or AI-generated personalized treatment plans, with outcomes compared between groups.

c. Potential Threats to Validity: Threats include selection bias in randomization, the need for blinding to minimize bias, and monitoring attrition rates to maintain validity and reliability.

The randomized controlled trial (RCT) design is ideal for researching AI in personalized medicine due to its robust control over variables.

a- Selection of Experimental Design: For researching Artificial Intelligence (AI) for Personalized Medicine, I would choose the randomized controlled trial (RCT) design. RCTs offer a high level of control over variables and can provide robust and unbiased results. This design can help ensure that the efficacy of AI-driven personalized treatment plans can be accurately tested against traditional methods.


b- Application of the Design: To apply this design, I would select a sample of patients who require treatment plans and randomly assign them into two groups. One group would receive traditional treatment plans while the other group would receive AI-generated personalized treatment plans based on genetic testing and public data. Outcomes such as recovery rates, patient satisfaction, and cost-effectiveness would be measured and compared between the two groups.


c- Potential Threats to Validity: In this RCT design, potential threats to validity include:

  • Selection Bias: Ensuring that the randomization process is truly random and that the groups are comparable at baseline.
  • Blinding: To minimize bias, both patients and healthcare providers should be blinded to the treatment assignments. This can be challenging but is crucial for avoiding placebo effects and unconscious bias.
  • Attrition: Monitoring and minimizing the dropout rates in both groups to ensure the validity and reliability of the final results.

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