The goal of AIscreenR is to use AI tools to support screening processes (including title and abstract screening) in systematic reviews and related literature reviews. At the current stage, the main aim of the `AIscreenR` package is to test and use OpenAI's GPT API models as second screeners of titles and abstracts or alternatively to reduce the number of references needed to be screened by humans. The package allows user to utilize OpenAI's GPT API models from the [https://api.openai.com/v1/chat/completions](https://platform.openai.com/docs/models/model-endpoint-compatibility) endpoint. In future developments, we may add further LLMs, such as API models from Claude 2. For now, we invite other researchers to test this software, so that we, as a review community, can get a better understanding of the performance of OpenAI's GPT API models for title and abstract screening in high-quality reviews.
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