lion-ai/MedDecider-4B

MedDecider-27B is the most robust mid-size member of the MedDecider family. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.

MedDecider-31B is the flagship of the MedDecider family. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.

Ultra-fast extraction of predefined clinical variables from free-text clinical notes.

The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? . The model helps structure information in clinical patient letters by classifying medical conditions mentioned in the letter into…

Typed-decision adapter for Qwen3.5-4B, tuned on clinical question answering, financial news sentiment and structured record-level workflow decisions.

This repository contains LoRA finetunes of DiffusionGemma (image-conditioned discrete-diffusion LLM) for radiology visual question answering, each paired with an autoregressive Gemma-4 finetune as a controlled baseline. It corresponds to the paper Discrete Diffusion Language Models for Interactive…