Telemedicine, Telehealth; Augmented Intelligence and AI

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Question 1 of 18

1. Question
Telemedicine has in fact been with use for quite a while. The following innovations have contributed to its increased use except:
- Digital Cameras
- Smartphones
- Wired-Internet
- Tablet computers
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Question 2 of 18

2. Question
Which of the following statements concerning Education in Teledermatology is true ?
- Teledermatology has been boosted by the Covid pandemic.
- Education will be useful to address benefits and flaws in Telemedecine for Dermatology
- It is by using Teledermatology and being passionate about it that items to educate will be identified and shared.
- Scientific publications and presentations about Teledermatology is the most effective way to transmit practical knowledge.
- All of the above is correct.
- All of the above except the fourth statement.
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Question 3 of 18

3. Question
All the following statements about Telemedicine are correct except:
- Telemedicine has increased in importantce thanks to digitization and the 2020 pandemic.
- The biggest contribution of telemedicine is its ability to triage the more urgent from the less urgent situations.
- Telemedicine allow consultations to be at a distance and is convenient.
- Telemedicine is a recent addition to the practice of medicine.
- Telemedicine is quite effective in Dermatology (Teledermatology).
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Question 4 of 18

4. Question
Concerning the need to educate doctors on Artificial Intelligence, which statements are correct ?
- Concrete knowledge about AI is still lagging behind Conceptual knowledge.
- The is fear of Artificial Intelligence in terms of professional reputation and capacity to earn income.
- The word "Artificial Intelligence" is unemotional and accurate.
- The arguments laid by the majority of physicians when talking about AI are purely objective.
- Many physicians do not know that most AI solutions in health are embedded in the clinical setting (as of 2020)
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Question 5 of 18

5. Question
Teledermatology and Artificial intelligence can change the practice of Dermatology. Which of the following statements is false ?
- Teledermatology is a useful triaging tool.
- Artificial Intelligence sounds doctors than Augmented Intelligence
- AI (or AuI) could facilitate the triaging done by Teledermatology.
- All the statements are false except the first on.
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Question 6 of 18

6. Question
During the 1st wave of the 2020 pandemic, what was, on average, the percentage drop in the amount of medical consultations ? (US)
- -15%
- -30%
- -45%
- -60%
- -75%
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Question 7 of 18

7. Question
Patients Health Solutions using AI have the following issues and benefits except:
- Increases diagnostic accuracy
- Increases diagnostic speed
- Increases healthcare access
- Increases privacy problems
- Is somewhat dehumanizing
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Question 8 of 18

8. Question
What is false about the concept of Augmented Intelligence ?
- It can be defined as artificial intelligence (AI) that assists and enhances the human ability.
- The objective of AuI is to partner with humans and machines to amplify workforce capacity
- The objectives of AuI interventions is to reinforce the patient and provider relationship.
- AuI addresses concerns about accuracy and liability.
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Question 9 of 18

9. Question
Measuring results using Artificial Intelligence, more specifically using Machine Learning uses the term”Ground Truth”. Select whether the following statements are true or false.
- Ground truth is useful in assessing if an algorithm is performing well.
- Ground truth is useful in supervised learning in health.
- Gold Standard is a measurement of a solution used in health, taking into account compromises for a real patient.
- "Gold standard" and "Ground truth" are comparable.
- Gold standard takes into account the real setting, although Ground truth is also useful in measurement of how a model performs once it collects data in. a clinical setting.
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Question 10 of 18

10. Question
Validation of a solution using AI requires the creation of a model and its efficacy in the real-world setting. What is untrue of the datasets used to create a model ?
- There are three types of datasets on which a model learns.
- Validation of a solution in the real world relies mainly on the Test set.
- Validation sets are usually a subset of the dataset.
- Training sets are the main type of dataset to train an algorithm.
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Question 11 of 18

11. Question
What statement(s) concerning XAI is(are) false ?
- It refers to explainable AI.
- It is limited to AI solutions in Health.
- It applies to them development of algorithms which is often a "black box".
- XAI is important where it is important to understand the reason why decisions are made…a matter of building trust.
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Question 12 of 18

12. Question
Which of the following statements is true ?
- Deployment of a solution to the real world from an AI model is often costly and time consuming.
- Slowness of implementing solutions can be explained by a perceived threat of AI, instead of a tool to support the clinician.
- Most of what has been done in AI until now is technical focusing on: data selection and management; model training and tuning; model validation.
- All of the above
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Question 13 of 18

13. Question
When thinking about benefits to policy makers it is often useful to think with it in mind about the “value equation of healthcare”. According to it please state which statements are true or false:
- It is proportional to quality.
- It is inversely proportional to the cost.
- It is proportional to the level of service.
- All the statements are true.
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Question 14 of 18

14. Question
To create a health solution using AI there are complex mechanisms to create a model but even more complex ones when solution need to be implemented in the real world. There are challenges, and governance and regulation are clearly needed to move forward. As part of the challenges, please state whether the following is/are true:
- Data sharing is mainly siloed.
- Data needs to be representative, especially when explainability is sought.
- There are no guidelines for monitoring of AI solutions implemented in the clinical trial setting.
- Algorithms can be trained when the model is deployed.
- All the above except the third statement.
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Question 15 of 18

15. Question
When building a solution using AI, stakeholders should all be involved in the development of the solution, from the users of the solution to the technical team developing it. Which following answer best describes the questions to be considered ?
- What is the clinical need ?
- How is this intervention adopted, and how can we adapt it to the setting that we’re going to utilize it in ?
- How can it be integrated it into HCP (healthcare provider) workflows ?
- How can we build trust that this is an effective and safe solution or support ?
- All of the above statements.
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Question 16 of 18

16. Question
Telehealth and Telemedicine ? How are they similar, how to they differ.

Please indicate whether the statements are true ?
- They both refer to refers to a broader scope of remote health care services than telemedicine.
- Telemedicine refers more specifically to clinical services provided at a distance.
- Telehealth and AI in Health have a lot in parallel when it comes to digitalization of health.
- Telehealth and Telemdecine services were around 6% lower before the second wave of the 2020 pandemic before the second wave (US).
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Question 17 of 18

17. Question
In health which of the following has not been researched in Telehealth (as of 2020) ?
- "Increasing access and appropriateness."
- "Measuring expenditures"
- "Measuring outcomes."
- "Develop technology and innovation."
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Question 18 of 18

18. Question
How will Ai carve its space in the future of Healthcare ?
- AI in health interventions should bring meaningful solutions.
- AI in health interventions should be equitable.
- AI in health interventions should be actionable.
- All of the above statements are correct (please go back to the article if you wish to read it again).
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Telemedicine, Telehealth; Augmented Intelligence and AI

Telemedicine, Telehealth; Augmented Intelligence and AI

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