#LiteratureReviews Made Easy: Is #AI the Key? #artificialintelligence | OOLS | JJB and Dr. Gopinath

#LiteratureReviews Made Easy: Is #AI the Key? #artificialintelligence | OOLS | JJB and Dr. Gopinath

by Janarthanam Jothi Balaji and Dr. Gopinath Madheswaran

Humanities, Social Sciences & Thought AI — News & Applications UYComputer scienceUYQArtificial intelligence (AI)
🎙 Janarthanam Jothi Balaji and Dr. Gopinath Madheswaran 👥 6K 📅 December 2, 2025 ⏱ 66 min 👁 35 📄 tutorial 🧭 2026-08-16
Available in: English (current) Français

Keywords

AIliterature reviewoptometryresearchElicit

Summary

This session, part of the Online Optom Learning Series, aims to demonstrate how artificial intelligence can assist in conducting literature reviews, particularly in the field of optometry. The speakers, Janarthanam Jothi Balaji and Dr. Gopinath Madheswaran, begin by outlining the traditional methods of literature review, including formulating a research question, using databases like PubMed and Google Scholar, and employing Boolean operators and filters. They highlight challenges such as information overload, time consumption, and potential biases. The session then transitions to exploring AI-powered tools, with a live demonstration of Elicit, which can find papers, summarize findings, and extract data. The speakers emphasize that AI should serve as an assistant, not replace human judgment, and that researchers must maintain critical thinking. They also discuss the importance of ethical considerations and the need to verify AI-generated information. The session includes audience polls and interactive discussions, concluding with a Q&A segment. Overall, the video provides a practical overview of integrating AI into literature review processes, with a focus on enhancing efficiency while preserving research integrity.

171 words

Critical Evaluation

Value of the Information & Strength of the Argument

The session offers valuable practical insights into using AI for literature reviews, with a clear demonstration of Elicit’s capabilities. The argumentation is solid, emphasizing that AI enhances rather than replaces human judgment, and highlighting the need for critical evaluation. The speakers effectively address common challenges and provide actionable tips. However, the argumentation could be strengthened by including more diverse examples and discussing potential limitations of AI tools in greater depth.

Scientific Rigor, Source Quality, Title Accuracy

The session demonstrates a reasonable level of scientific rigor, with speakers emphasizing the importance of using reliable databases and maintaining ethical standards. However, specific sources are not cited within the video, and the demonstrations rely on a single example. The title accurately reflects the content, which focuses on using AI to simplify literature reviews. The session does not include a formal review of literature or meta-analysis, but it provides a practical tutorial that is relevant for researchers.

162 words

Title / Content Match

The title accurately reflects the content, which focuses on using AI to simplify literature reviews.

Quality & Reliability

7/10

The session provides practical guidance on using AI tools for literature review, with live demonstrations and emphasis on critical thinking. However, it lacks formal citations and rigorous validation of claims, and the demonstrations are based on a single example.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • Nerdy Optometrist — Mentioned as media partner and podcast resource.
  • OOLS Website — Official website of the Online Optom Learning Series.
  • S.K. Optics Website — Organization managing OOLS.

Concurring Sources

  • Elicit — AI tool demonstrated in the session for literature review.
  • PubMed — Database used in traditional literature search.

Contribution & Novelties

The session provides a practical, step-by-step guide on integrating AI tools into literature review processes, specifically within the optometry field. It offers a live demonstration of Elicit, showcasing how AI can streamline paper discovery, summarization, and data extraction. The emphasis on maintaining human oversight and critical thinking is a valuable contribution to the discourse on AI in research.

Pour aller plus loin :

  • Elicit — AI research assistant for literature review.
  • PRISMA guidelines — Standard for systematic reviews.
  • PubMed — Major biomedical database.

83 words

Radar Profile

The radar profile shows a balanced performance across all dimensions, with slightly higher scores in information quantity and quality, reflecting the session's practical content. The technical level is moderate, suitable for a broad audience, while reliability is adequate, though not heavily supported by formal citations.

Reliability 6/10

💬 Sur les 0 commentaires analysés, aucune tendance n'est disponible.