CLINICAL PROBLEM SOLVING IN PHARMACOLOGY: A FOCUS ON DESK RESEARCH AND EVIDENCE-BASED PRESCRIBING
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Abstract
Introduction: Artificial intelligence-based search engines improve access to scientific information through algorithms that prioritize and recommend relevant articles. In health, while these resources promote self-care, little is known about their use by the general public. This study explores how four AI platforms can facilitate public access to scientific literature. Methods: A clinical question on bioequivalence between generic levothyroxine and commercial levothyroxine (Euthyrox) was developed. The platforms selected were Semantic Scholar, Scite.ai, Consensus, and Perplexity AI. Results: Searches were conducted on the four chosen platforms. Semantic Scholar stands out as a database for systematic reviews and meta-analyses; Scite.ai classifies citations according to their placement within the article and type of citation (support, mention, or contrast); Consensus integrates different data modalities and provides a summary of findings; while Perplexity AI offers the option of searching for images and videos. Conclusion: By using AI-based search engines, results equivalent to those obtained in academic search engines can be achieved. Due to their user-friendly and versatile interfaces, users of these platforms increase their confidence by having access to scientific and verified information
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