Local (lightweight) LLM for radiology reporting?

Reddit r/LocalLLaMA / 3/24/2026

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Key Points

  • A Reddit user asks how to set up a lightweight, local LLM that can be trained on their radiology templates and reporting style to reduce the tedium of writing full reports.
  • They note that although structured reporting is generally recommended, their local clinical culture and hospital expectations favor “filler-filled” narrative reports, making standard structured formats less acceptable.
  • The user wants the model to take structured reporting inputs and generate stylistically complete narrative outputs, but explicitly plans human review before any clinical use.
  • They share their hardware setup (RTX 4080, 32GB DDR4) and seek practical experimentation guidance rather than relying on the system to sign off.
  • The post frames the use case as a form of pre-reading/drafting similar to other semi-automated radiology tools that still require clinician verification.

Hi there, totally new here, and very new to this LLM stuffs

Currently looking for a local LLM that I can train with my radiology templates and styles of reporting, since it's getting tedious lately (i.e I already know all the key points with the cases, but found it really exhausting to pour it into my style of reporting)

Yes, structured reporting is recommended by the radiology community, and actually faster and less taxing with typing. But it's really different in my country, in which structured reporting is deemed "lazy" or incomplete. In short, my country's doctors and patients prefer radiology reports that is full of.....fillers.....

To top it off, hospitals now went corpo mode, and wanted those reports as soon as possible, as full of fillers as possible, and as complete as possible. With structured reporting, I can report easily, but not in this case

Hence I'm looking for a local LLM to experiment with, that can "study" my radiology templates and style of reporting, accept my structured reporting input, and churn a filler-filled radiology report....

Specs wise, my current home PC runs an RTX 4080 with 32gb of DDR4 RAM

Thank you for the help

EDIT: for clarification, I know of the legal issue, and I'm not that "mad" to trust an LLM to sign off the reports to the clients. I'm exploring this option mostly as a "pre-reading", with human check and edits before releasing the reports to the clients. Many "AI" features in radiology are like this (i.e. automated lesion detections, automated measurements, etc), all with human checks before the official reports

submitted by /u/jugermaut
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