In this Papers Podcast, Dr. Nicholas Fabiano discusses his JCPP Advances Methodological Review ‘How to optimize the systematic review process using AI tools’ (https://doi.org/10.1002/jcv2.12234). Nicholas is a co-first author of the paper, along with Arnav Gupta and Nishaant Bhambra.
There is an overview of the paper, methodology, key findings, and implications for practice.
Discussion points include:
- Background into what a systematic review refers to.
- What is Artificial Intelligence (AI)?
- How AI is being used in the systematic review process.
- How widely utilised AI is used in research and systematic reviews.
- The advantages of utilising AI, as well as the risks and limitations.
- What a balanced use of AI would look like.
In this series, we speak to authors of papers published in one of ACAMH’s three journals. These are The Journal of Child Psychology and Psychiatry (JCPP); The Child and Adolescent Mental Health (CAMH) journal; and JCPP Advances.
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Nicholas Fabiano is a second-year psychiatry resident at the University of Ottawa. He is in the research stream and has an interest in the overlap between mental and physical health, particularly exploring the impact of lifestyle (exercise, diet, and sleep) on mental health. From a methodological standpoint, he has expertise in systematic and umbrella reviews, with interests in optimization of this process.
Transcript (coming soon)
The post How to Optimize the Systematic Review Process using AI Tools appeared first on ACAMH.
- Source: https://www.acamh.org/podcasts/how-to-optimize-the-systematic-review-process-using-ai-tools/
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