Thread by @MaziyarPanahi

🚨 Another day, another drop!!!

I am releasing 8 new medical RL environments on Prime Hub!

From differential diagnosis to drug safety, these environments cover the full spectrum of clinical AI challenges.

Thread 🧵👇

1/ MedXpertQA - Expert-Level Medical Reasoning

Expert-level medical reasoning that's significantly harder than MedMCQA.

This env challenges models with complex clinical scenarios that require deep medical knowledge and multi-step reasoning.

2/ DDI - Drug-Drug Interaction Detection

Critical for pharmacovigilance and patient safety.

Models learn to identify dangerous drug combinations from clinical text using the DDI Corpus.

Essential for building AI that keeps patients safe from harmful medication interactions.

3/ ADE - Adverse Drug Event Detection

Detect adverse drug events from clinical narratives using ADE Corpus V2.

Models learn to identify when medications cause harmful side effects—a crucial capability for pharmacovigilance systems and patient monitoring.

4/ BioASQ - Biomedical Question Answering

Evidence-based medicine powered by PubMedQA.

Models learn to answer biomedical questions using peer-reviewed literature, bridging the gap between research and clinical practice.

The foundation for AI-assisted medical research.

5/ HealthFact - Medical Fact-Checking

Combat medical misinformation with the PubHealth dataset.

Models learn to verify health claims against scientific evidence, critical for public health in the age of viral misinformation.

AI as a defense against falsehoods.

6/ DDXPlus - Differential Diagnosis

Train models to predict diseases from patient symptoms and medical histories.

Emulates the diagnostic reasoning process that physicians use every day.

From symptoms to diagnosis: teaching AI to think like a doctor.

7/ RadQA - Diagnostic Radiology

Radiology-focused medical QA using MedQA-USMLE.

Models learn to interpret imaging findings and answer diagnostic questions—essential for AI-assisted radiology.

Building expertise in diagnostic imaging, one question at a time.

@PrimeIntellect 8/ ICD10 - Medical Coding

Train models to assign accurate ICD-10 diagnostic codes to clinical notes.

Critical for healthcare billing, EHR systems, and clinical documentation.

Automating the complex task of translating clinical notes into standardized codes.

@PrimeIntellect Closing Post:

All 8 environments are now live on Prime Intellect! 🚀

Each includes:
✅ Built-in verifiers
✅ Automated reward functions
✅ Train/eval splits
✅ Single-turn format with thinking support

Start training medical AI models today.
app.primeintellect.ai/dashboard/user…