EasySeer for health and life-science researchers
Health and life-science researchers can use EasySeer for studies that are analysed with code on data they already hold, for example signal or imaging analysis, and use the sample projects to see how a study is documented.
The problem
Many health studies rely on code-driven analysis of data already collected, but the code, results and write-up are produced by different people at different times.
The sample projects include an ECG arrhythmia detection study. A literature-review project type is shown in the tool as coming soon.
EasySeer is not a clinical or regulatory tool. Ethics approval, data governance and clinical judgement stay with you and your institution.
How EasySeer helps
- Start from your concept and dataset
- Review the scored novelty check
- Run the generated analysis and read every result table
- Draft the manuscript and check each claim against the results
What you get
- Documented analysis steps
- Result tables and graphs saved with file paths
- A draft with an optional AI-use statement
Common questions
Does it do systematic reviews?
A literature-review project type is shown in the tool as coming soon.
Can I use patient data?
Follow your ethics approval and data-protection rules, and read our Privacy Policy before uploading any personal data.
Last updated 2026-11-09. EasySeer is AI. It creates only an initial draft from the novel concept you provide, and it is designed to follow academic ethical guidelines.