The list of popular AI-based tools is divided into subcategories
Step | AI tool | Function | Reference(s) |
---|---|---|---|
Articles collecting | Semantic Scholar | Identifying the proper papers, extracting meaning, checking highly influential citations, and recommending the latest documents that may be of interest | [29, 30] |
Scite.ai | Identifying the most significant papers and demonstrating the connections between them | [30, 31] | |
PICO Portal | Identifying the most relevant papers meeting specific PICO criteria | [35] | |
Literature analyzing | Genei | Condensing research papers, extracting the essential information | [37] |
ChatPDF | Extracting information from PDF files by answering the posed questions (e.g., primary outcomes from the study, conclusions, limitations) | [40, 41] | |
Chatwithpdf | |||
Perplexity AI | Answering the posed questions and providing resources | [30, 42] | |
Elicit | Summarizing papers, finding themes and concepts across papers, extracting data, synthesizing the findings | [43] | |
Writing and refining a manuscript | Grammarly | Context-specific suggestions to help with proper grammar, punctuation, and spelling, style improvements | [48, 49] |
Trinka AI | Checking the word choice, usage, style, and grammar | [30, 48] | |
QuillBot | Paraphrasing, grammar check, ensuring the appropriate vocabulary, tone, and style, text summarizing | [30, 50] | |
Writefull | Text revision, language and tone check, paraphrasing, title and abstract generator | [30, 53] | |
Wordtune | Paraphrasing, eliminating grammar, and spelling errors | [54, 55] | |
Paperpal | Ensuring adherence to stringent quality standards (specialized in academic papers) | [30, 56] | |
Jenni AI | Autocomplete in-text citations, comprehensive prompts generation, paraphrasing, paper refining, plagiarism check | [30] | |
Peer review | Penelope.ai | Paper evaluation, ensuring that manuscripts meet specific criteria, journal requirements | [30, 57] |
Copyleaks | Plagiarism detector across nearly every language, AI-generated content detection | [58] | |
StatReviewer | Identifying methodological and statistical errors | [57] |
AI: artificial intelligence; PICO: P—patients, I—intervention, C—comparison, O—outcomes
The authors used ChatGPT and Grammarly for grammar and style corrections while preparing this work. SciteAI was utilized for the initial article search. MidJourney was used to generate graphics. After using the tool/service, authors reviewed and edited the content as needed and took full responsibility for the publication’s content.
MF: Conceptualization, Investigation, Writing—original draft, Writing—review & editing. MM: Conceptualization, Investigation, Writing—original draft, Writing—review & editing. AL, SM, MW, IA, LS, and MS: Writing—original draft. AZ: Validation, Writing—original draft, Writing—review & editing, Supervision. All authors read and approved the submitted version.
Aleksandra Zielińska is the Editorial Board Member of Exploration of Digital Health Technologies, but she had no involvement in the peer-review of this article and had no access to information regarding its peer-review. The other authors declare that they have no conflicts of interest.
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© The Author(s) 2024.