General Practice Preference Dataset
In developmentPhysician preference datasets created by General Practitioners for evaluating AI-generated clinical responses through structured preference annotation and clinical reasoning.
SouthxMed develops physician-generated datasets that support the training, evaluation, and benchmarking of medical AI models. Our current focus is on high-quality physician preference datasets, with clinical case and benchmark datasets under development.
Our initial focus includes General Practice, Pediatrics, and ENT. Additional medical specialties will be added as SouthxMed expands.
Physician preference datasets created by General Practitioners for evaluating AI-generated clinical responses through structured preference annotation and clinical reasoning.
Physician preference datasets developed by pediatric specialists to evaluate and improve AI-generated clinical responses using evidence-based pediatric guidelines.
Specialist preference datasets for otolaryngology covering diagnosis, treatment recommendations, and physician preference evaluation for medical AI.
Clinical Case Datasets, Benchmark Datasets, and additional medical specialties are planned as development progresses.