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内容由Audioboom, The Association for Child, and Adolescent Mental Health提供。所有播客内容(包括剧集、图形和播客描述)均由 Audioboom, The Association for Child, and Adolescent Mental Health 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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Artificial Intelligence and its Potential for Supporting Clinical Observations of Child Behaviour

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Manage episode 446185679 series 2086164
内容由Audioboom, The Association for Child, and Adolescent Mental Health提供。所有播客内容(包括剧集、图形和播客描述)均由 Audioboom, The Association for Child, and Adolescent Mental Health 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
https://acamhlearn.org/Learning/Artificial_Intelligence_and_its_Potential_for_Supporting_Clinical_Observations_of_Child_Behaviour/54bf300d-d331-4ebe-8a06-b130497db5f8
How can artificial intelligence be used to support clinical observation of child behaviour? Professor Helen Minnis and Professor Alessandro Vinciarelli discuss their recent CAMH paper on ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’.
Learning Objectives
1. What is currently known about the use of social artificial intelligence (AI) within child and adolescent mental health services.
2. An overview of their recent CAMH paper (https://doi.org/10.1111/camh.12714), including insight into methodology and key findings.
3. Can social AI replicate the kind of implicit feel that clinicians have as a result of their training and experience?
4. The translation of AI into clinical practice.
5. Might policymakers push for the overuse of AI at the expense of clinicians?
6. How social AI might be further developed in the future to support child mental health
  continue reading

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Manage episode 446185679 series 2086164
内容由Audioboom, The Association for Child, and Adolescent Mental Health提供。所有播客内容(包括剧集、图形和播客描述)均由 Audioboom, The Association for Child, and Adolescent Mental Health 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
https://acamhlearn.org/Learning/Artificial_Intelligence_and_its_Potential_for_Supporting_Clinical_Observations_of_Child_Behaviour/54bf300d-d331-4ebe-8a06-b130497db5f8
How can artificial intelligence be used to support clinical observation of child behaviour? Professor Helen Minnis and Professor Alessandro Vinciarelli discuss their recent CAMH paper on ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’.
Learning Objectives
1. What is currently known about the use of social artificial intelligence (AI) within child and adolescent mental health services.
2. An overview of their recent CAMH paper (https://doi.org/10.1111/camh.12714), including insight into methodology and key findings.
3. Can social AI replicate the kind of implicit feel that clinicians have as a result of their training and experience?
4. The translation of AI into clinical practice.
5. Might policymakers push for the overuse of AI at the expense of clinicians?
6. How social AI might be further developed in the future to support child mental health
  continue reading

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