@article {Coalter:2023:1525-4011:53,
title = "System Pro",
journal = "The Charleston Advisor",
parent_itemid = "infobike://annurev/tca",
publishercode ="annurev",
year = "2023",
volume = "25",
number = "2",
publication date ="2023-10-01T00:00:00",
pages = "53-59",
itemtype = "ARTICLE",
issn = "1525-4011",
eissn = "1525-4003",
url = "https://annurev.publisher.ingentaconnect.com/content/annurev/tca/2023/00000025/00000002/art00012",
doi = "doi:10.5260/chara.25.2.05",
author = "Coalter, Jodi",
abstract = "System Pro is an artificial intelligence (AI)-driven tool that analyzes search results from PubMed, producing a map of evidence-based relationships of health and life science topics. This Web-based tool also extracts data, summarizes abstracts, and provides citations to claims stated
in their summary synthesis. This summary helps students and researchers contextualize the literature. While still very much in development, the tool can help researchers expedite the search and literature review process while still aiming for content accuracy and trustworthiness. The mapping
feature also allows for the exploration of interrelated topics to increase interdisciplinary research, discoverability, and identification of literature gaps. As a more refined, research-oriented version of ChatGPT, Bing, or Bard, System Pro can help harness AI for research purposes.",
}