Guide
Choosing an AI tool for medical literature (2026)
Last checked: 20 October 2026. We make MIA. The other tools are described from university library guides and public sources; check each site before relying on this page. None of these tools gives medical advice.
The short answer
Different tools do different literature jobs. Match the job first.
| Your job | Look at | Why |
|---|---|---|
| Screening and extracting data across many papers for a review | Elicit | Built for literature screening, evidence synthesis and structured extraction into tables |
| Scoping a focused question with quick cited summaries | Consensus | Cited literature summaries with a directional evidence meter |
| Point-of-care clinical questions (if you are an eligible US clinician) | OpenEvidence | Cited clinical answers for verified healthcare professionals |
| Medical chronologies for personal-injury law firms | Specialist legal tools (e.g. Supio, EvenUp) | Built around record summaries for claims |
| Testing what one paper, scan or exhibit will bear, for a medico-legal file | MIA | Finding, inference and gap kept apart; conservative by default; two-pass Deep Review |
A common sequence from library guides: Consensus to scope a question, Elicit to run a review, and a clinical tool only if you are eligible. MIA fits at a different point: when one paper has to carry weight in an opinion, and you need to know exactly how much.
What MIA does
- Finding / Inference / Gap. What the paper or image shows; what may reasonably be drawn; what the file does not establish.
- Clinical Conservative by default. Standard of care is distinguished from investigational or speculative claims. Thin evidence is named as thin.
- Research Expansion, labelled. For hypothesis-generating work, always opening with a banner that it is not standard of care.
- Ask, Review, Deep Review. Deep Review runs two independent workings and settles them: agree, contest, or still a gap.
- Imaging and pathology as supplied, in educational pattern-language. Not a radiology report.
- Refusals. No dosing, schedules or implementation parameters. No help obtaining or financing care or trials.
- Federation (FIA Plan). When the medical question becomes a legal one, send a defined brief to LIA and read the reply. Only what you authorise crosses.
Where MIA is not the best choice
- A systematic review across hundreds of papers. Use a screening and extraction tool like Elicit.
- A fast answer at the bedside. Use a point-of-care tool you are eligible for, and your clinical judgment.
- Searching the literature. MIA reads what you put on the desk. It is not a search engine for PubMed.
- A medical chronology for a claims file. Specialist legal tools are built for that.
Where it is
- An expert checking whether a cited paper supports an opinion.
- A lawyer testing an opposing expert's literature.
- A biotech claim in a deck that needs to be kept apart from practice-changing evidence.
- Any file where the overreach must show before cross-examination finds it.
FAQ
What is the best AI for medical research? It depends on the task. Elicit for reviews, Consensus for quick cited summaries, OpenEvidence for eligible clinicians at the point of care, and MIA for testing what a specific paper or exhibit will bear in a medico-legal file.
Is there AI software for writing medico-legal reports? MIA does not write the report or replace the expert. It helps the expert and the instructing lawyer test the literature and exhibits an opinion relies on, with finding, inference and gap kept apart.
Can AI summarise a research paper accurately? It can summarise, but summaries tend to overreach: an association read as a cause, a subgroup read as everyone. Use a tool that separates what the paper shows from what is inferred, and read the methods yourself.
Is MIA medical advice? No. MIA is educational and not a clinician. Human judgment remains the authority.