Introduction to Artificial Intelligence in Dermatology

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Question 1 of 7

1. Question
What is artificial intelligence ?
- This response will be awarded full points automatically, but it will be reviewed and possibly adjusted after submission.
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Question 2 of 7

2. Question
What statements concerning augmented intelligence are true ?
- It focuses on artificial intelligence’s assistive role and emphasizes that AI is designed to enhance human intelligence rather than replace it.
- It emphasizes the dyadic relationship of man and machine and articulates this expectation that systems and technologies should compliment and extend the work of humans to permit delivery of care that outperforms when either can do alone.
- It conceptualizes synergy of man and machine.
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Question 4 of 7

4. Question
Which of the following statements is false ?
- Once a solution is deployed and proven to be safe, monitoring is not possible.
- Algorithms learn from raw data
- Models need to be implemented in the clinical setting
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Question 5 of 7

5. Question
Designing a solution in Health using AI requires datasets which are representative of the population group for whom the algorithm will train on. This is important for the same reason hidden layers are a problem when it comes to algorithms.

What is the problem for algorithms ?

In what way is it a problem when it comes to a health-based solution ?
- For algorithms the problem is called the . For both the problem is that the AI model is unable to provide an to the conclusion it reached.
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Question 6 of 7

6. Question
Dermatologists should be active in the design of dermatoloogy-based solutions using Artificial Intelligence. Concerning clinical deployment, the following are true except:
- It has to integrate into physician and provider workflows.
- key stakeholders have to be present in the design of how these tools integrate into practice, and care has to be made in identifying potential bias which could arise in the design or the deployment in a way that could, again, potentially exacerbate healthcare disparities, particularly among vulnerable populations.
- the primary design of deployment should revolve around the efficiency of the proposed solution.
- Even after these models and systems are released into the real world, they have to undergo appropriate clinical monitoring in the same way that the FDA in the US has post-marketing surveillance for medications. We need to have a similar system to ensure the safety and efficacy through routine evaluation after deployment.
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Question 7 of 7

7. Question
In AI solutions in health, speed is less than important than the quality and safety of the solution deployed. Which of the following statements is false ?
- Explainability of AI derived solutions is paramount.
- Responsabilties need to be established. Physicians are ulimately responsible for actions on their patients.
- There are no guidelines in AI for health.
- An accurate AI model can't be responsible. One question….who is ? The engineer, healthcare providers, regulatory agencies, insurance companies.
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Introducing Artificial Intelligence for Skin Problems

Introduction to Artificial Intelligence in Dermatology

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