Health research
Health research, checked at every step
You lead the research, so you're the CEO. StellarFirm gives you AI Agents, Agentic Assistants for your work. The Radiology AI researcher writes the plan to evaluate an imaging tool and the reader study. The Imaging and radiomics scientist checks de-identified images and masks and writes the feature plan. The Pathology researcher checks de-identified whole slide images and designs the evaluation of computational pathology models. The Epidemiologist designs the study and checks the causal claim. The Regulatory science researcher reads the public record of devices and trials. This is research and quality improvement. It is never a diagnosis or a patient's care, and a radiologist, a pathologist, or a clinician makes every clinical decision. You give the final go.
Evidence, step by step
A study plan for researchers to review
- The research question and the data
- The study design, the checks, and the sources
- Where you give the final go
Nothing is sent or shipped unless you asked for it or approved it, and money always asks.
The assistants work on de-identified or public data and name the version and the date of every source they read. A submission, a shared file, a mail, or a merge waits for your Approve.
A closer look
An idea goes in.
Real work comes out.
A study plan for researchers to review.
Illustrated workflow
01 / Set a goal
Set a goal
You say what done looks like: a ticket, a client, a deadline, or a draft.
How it works
From a goal to a result.
- 01
Set a goal
You say what done looks like: a ticket, a client, a deadline, or a draft.
- 02
The team works
The assistants take the goal, use the ready prompts and skills, and do the work in the tools you connected.
- 03
You approve the risky step
Anything that sends, publishes, ships, or charges waits for your Approve. Approve a kind of step once and that assistant remembers it, but money always asks. You are the CEO.
- 04
You get the result
A study plan, an image check, a regulatory record, or a methods draft with every source and computation named, ready for your final go.
Example
Send the study protocol to your ethics committee
It sends to people, so it asks first.
The team
You, and the assistants.
You, the CEO
You set the research question, confirm the ethics approval and the data, and give the final go on what is submitted, shared, or sent.
Radiology AI researcher (Scientist assistant)
Writes the plan for evaluating an imaging tool with a patient-level split, an external test set, intervals, and a stated reference standard, designs reader studies, and structures reports for research extraction. Research only.
Imaging and radiomics scientist (Scientist assistant)
Checks every de-identified image and mask before analysis, writes the segmentation and radiomic feature plan, designs the study around stability and outside validation, and checks radiation dose against reference levels. It never reads a study for a patient.
Pathology researcher (Scientist assistant)
Checks de-identified whole slide images before analysis, writes the stain normalisation and annotation plan, designs the evaluation of computational pathology models, and sets up the quantification of stained slides. Research only. The pathologist signs out every case.
Epidemiologist (Scientist assistant)
Designs observational studies with a stated population, start of follow-up, and denominator, draws the causal diagram, writes the survival analysis plan, and estimates disease burden and outbreak curves on aggregate or de-identified data.
Regulatory science researcher (Scientist assistant)
Reads the public record of devices and registered trials with the date it was read, compares what was registered with what was published, and appraises the clinical evidence. Information only, never regulatory advice.
Imaging software engineer (Coder)
Builds tested DICOM and radiomics pipelines with pinned versions and fixed seeds, on generated made-up images only, never a real patient's image. Opens a pull request for review. A merge waits for your Approve.
Grant and paper writer (Copywriter)
Helps draft grant sections, methods, and plain-language summaries from the team's own results, keeps a list of claims with the source behind each, and never overstates a result. You edit, and nothing is submitted or sent without your Approve.
Features
What the assistants read and check
Studies planned before the data
The assistants write the plan first: the question, the population, the reference standard, the split, the metrics with their intervals, and the checklists the paper will follow. Every plan says what the study will not show.
Images checked, never read for a patient
On its own computer an assistant checks de-identified research images and masks for orientation, spacing, labels, and leakage, and analyses them in code. It never reads a study for a patient, and a radiologist makes every clinical decision.
Public health sources, named
It reads ClinicalTrials.gov, the FDA's public medical device records through openFDA, the public collections of The Cancer Imaging Archive, and the MeSH vocabulary, and cites the record and the date it read. Each source belongs to its own project, and none is affiliated with StellarFirm.
Slides checked, never signed out
For pathology research the assistant checks de-identified whole slide images, writes the stain normalisation and annotation plan, and evaluates computational pathology models and the quantification of stained slides. It never signs out a case, and the pathologist makes every diagnosis.
Papers and grants with sources
It drafts methods and plain-language summaries from your own results with the source behind each claim, and you decide what is submitted.
Integrations
The tools it starts with.
- Science databases
- Google Drive
- Gmail
- Google Calendar
- GitHub
Built in
What your assistants can use.
Its own computer
Each assistant works on its own computer in StellarFirm cloud, set up with the tools its job needs, and hands you the files.
Roles you make yourself
Name a role we don't ship, say what it does and give it any of our skills or your own. Comes with Ultra and enterprise.
Long jobs in the background
A big job starts at once and runs in pieces in the background, streaming back as it goes. You can stop it any time, and sends and spending still ask.
Research tools
Web, news and scholar searches, scholarly works, video transcripts and market data, all read-only.
LaTeX documents you can edit
A paper or lesson sheet in LaTeX opens beside the chat with a preview, and you can edit the source and save a new version.
A running app beside the chat
The Coder starts the app it built and shows it live next to the chat, so you can click through it yourself.
Keep going until it is done
Say what done looks like and the Coder keeps going, up to ten more rounds, until the goal is met. /stop ends it.
Follows up on its pull requests
Switch it on for a Coder and it takes on failing checks, merge conflicts and review comments on its own pull requests. Merges and replies still ask you.
Ready to use
Prompts and skills.
Skills
- Research brief
- Imaging AI evaluation
- Reader study design
- Diagnostic accuracy analysis
- Radiology report structuring
- Imaging dataset search
- DICOM de-identification
- Medical image check
- Image segmentation plan
- Radiomic feature extraction
- Radiation dose check
- Epidemiological study design
- Causal inference check
- Survival analysis plan
- Disease burden estimate
- Outbreak curve analysis
- Medical device regulatory lookup
- Clinical trial registry search
- Clinical evidence appraisal
- Statistical analysis plan
- DICOM imaging integration
- Synthetic patient data
Ready prompts
Plan the evaluation of this imaging tool for this task, with the reference standard, a patient-level split, an external test set, leakage checks, and metrics with confidence intervals, and say what it will not show.
Design a reader study of readers with and without this tool, with the case spectrum, the washout, the analysis method, and a sample size whose inputs have a source.
Check the images and masks I attached for orientation, spacing, and label problems before any analysis, and list what failed.
Check these de-identified slides for blur, folds, and stain differences between sites, and plan the annotation and the evaluation of the slide model.
Draw the causal diagram for this question, state the population, the start of follow-up, and the denominator, and plan the survival analysis.
Find this device in the public FDA record and the registered trials of this tool, give the date you read each, and compare the registration with what was published.
Draft the methods section of the grant from these results and list the source behind every claim, for my review.
Questions
Before you join.
Start with your team.
Create your account, name your company, and your team of assistants is hired and ready, with a guide for the first task.