How to Use Perplexity AI for Biomedical Literature Reviews

Why Perplexity Changed My Research Workflow

Literature reviews used to take me hours. I'd search PubMed, find 50 potentially relevant papers, download them all, and spend an afternoon trying to figure out which ones were actually useful. By the time I'd read enough to understand the landscape of a topic, I'd lost half a day.

Perplexity AI changed this. Not by replacing the reading — that's still essential — but by dramatically accelerating the discovery and orientation phase.

What Perplexity Actually Does

Perplexity is an AI-powered search engine that retrieves current information from the web and academic sources, then synthesises it into a coherent response with citations. Unlike ChatGPT, which generates text based on training data, Perplexity is retrieving and summarising real, current sources.

The Academic mode is specifically designed for research: it prioritises peer-reviewed sources and provides direct links to papers.

My Exact Workflow

Step 1: Orient with a broad question. I start with a question like "What is the current evidence on gut microbiome and mental health?" This gives me an overview of the field — the key findings, the major debates, the most cited researchers.

Step 2: Identify the key papers. Perplexity will cite specific papers in its response. I note these and check them on PubMed to verify they're real and accurately represented. (Important: always verify. Perplexity occasionally misattributes findings.)

Step 3: Narrow with specific questions. Once I have the landscape, I ask more specific questions: "What do randomised controlled trials show about probiotic supplementation and depression?" This helps me find the highest-quality evidence on specific aspects of the topic.

Step 4: Use the citations to find more papers. The papers Perplexity cites will have their own reference lists. I use these to find additional relevant studies — the "snowballing" technique that librarians recommend for systematic reviews.

Step 5: Read the primary sources. This is non-negotiable. Perplexity gives you an orientation; the papers give you the actual evidence. I read every paper I cite.

The Limitations You Must Understand

Perplexity is not infallible. It occasionally misrepresents findings, conflates different studies, or presents preliminary evidence as more established than it is. It can also miss important papers, particularly older foundational studies.

For any claim you plan to use in an essay or report, always verify against the primary source. Perplexity is a discovery tool, not a citation source.

The Ethical Dimension

Using AI for literature discovery is not academically dishonest — it's efficient. The key is that you're using it to find sources to read and evaluate yourself, not to generate content you'll pass off as your own analysis. The thinking, the synthesis, and the writing must be yours.