| 1 |
According to the article, which factor most strongly motivates the increasing use of artificial intelligence in mental health care?
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2. Shortage of trained mental health professionals and unequal access to care |
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In the first paragraph, there is text that reads 'Key barriers include a severe shortage of trained mental health professional, persistent stigma surrounding mental illness, and lack of coordinated and continuous care delivery system.', which matches with the choice given above.
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| 2 |
Which application of AI in mental health is primarily described as using passive data from smartphones and wearable devices?
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3. Computer-assisted diagnosis using imaging |
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| 3 |
What is a major methodological limitation of many AI-based mental health studies identified by the authors?
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3. 3. Small, homogeneous datasets that limit generalizability of qualitative research methods |
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The article had mentioned one of the key limitations are that the AI models are trained on specific datasets, which might limit their effectiveness across different cultures or groups.
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| 4 |
Why is data privacy a particularly critical concern in AI-driven mental health applications?
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3. Mental health data are highly sensitive and risk misuse or stigma |
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It is mentioned in the 'data privacy' section that "Unlike general medical data, mental health information often includes intimate personal disclosures, therapy notes, emotional histories, and behavioral patterns. When such sensitive data is compromised, it can lead to significant emotional harm, social stigma, and legal consequences', which matches the choice selected above
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| 5 |
According to the article, how should AI systems ideally function within mental health care?
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3. As supportive tools that augment clinical decision-making |
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Plans of hybrid models called 'human-in-the-loop' have been made, which combines AI's abilities to store information, learn, and process quickly with human decision making, rather than replacing clinicians themselves
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| 6 |
What is the primary source of algorithmic bias in AI mental health tools discussed in the article?
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3. Biased or unrepresentative training data |
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| 7 |
Which future direction is most strongly recommended by the authors for advancing AI in mental health?
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2. Increasing transparency and explainability of AI models |
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The authors mentioned that to advance the field, development of models that are transparent and explainable is essential to building trust with both clinicians and patients
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| 8 |
Why do the authors caution against overinterpreting AI-based mental health predictions as definitive diagnoses?
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3. Predictions may not capture clinical context and individual variability |
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| 9 |
How might AI unintentionally widen mental health disparities, according to the article?
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5. By improving early detection |
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Huge language models can analyze facial expressions, voice, and alarming words that could lead to severe mental health concerns earlier than traditional methods.
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| 10 |
Which statement best reflects the authors’ overall conclusion regarding AI in mental health?
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3. AI offers significant potential but requires careful, ethical integration |
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| 11 |
What is the primary function of mRNA in respiratory virus mRNA vaccines?
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4. To suppress the immune system |
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| 12 |
Why is antigen design a critical step in mRNA vaccine development?
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2. It affects the immune system’s ability to recognize and respond to the virus |
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| 13 |
Why are lipid nanoparticles essential in mRNA vaccine formulations?
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2. They prevent viral replication |
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| 14 |
Which immune response is directly activated when host cells express antigens encoded by mRNA vaccines?
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3. Adaptive immunity involving T and B cells |
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| 15 |
What is a key objective of clinical studies for respiratory virus mRNA vaccines?
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2. To confirm immunogenicity and safety in humans |
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| 16 |
Which challenge related to mRNA vaccines is highlighted in the article?
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2. Instability of mRNA requiring strict storage conditions |
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| 17 |
Compared with traditional vaccines, what advantage of mRNA vaccines is emphasized?
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3. Rapid design and manufacturing flexibility |
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| 18 |
Why is long-term safety monitoring important for mRNA vaccines, according to the article?
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3. Vaccines suppress immune memory |
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| 19 |
What future challenge in respiratory virus mRNA vaccine development is emphasized by the authors?
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2. Addressing viral variants and immune escape |
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| 20 |
Which statement best summarizes the authors’ perspective on respiratory virus mRNA vaccines?
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1. They are a temporary solution with limited future use |
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