ChatDoctor is an advanced language model specifically designed for medical applications. It has been trained on a large corpus of medical literature, which enables it to have a deep understanding of medical terminology, procedures, and diagnoses.
This specialized AI-driven tool can be helpful in providing information and insights related to the medical field, making it a valuable resource for users seeking medical knowledge or assistance.
Recent large language models (LLMs) in the general domain, like ChatGPT, have done a great job of following instructions and giving responses that sound like they came from a real person.
But these language models haven’t been customized for the medical field, so they don’t give good answers and can’t make good suggestions for medical diagnoses, medications, etc. To solve this problem, we gathered information about more than 700 diseases, their symptoms, the tests they needed, and the medicines they should take, which led to 5,000 conversations between doctors and patients.
By fine-tuning LLMs using these customized conversations between doctors and patients, the resulting models have a lot of potential to understand patients’ needs, give good advice, and help in a wide range of medical areas.
When these advanced language models are used in healthcare, they can change the way doctors and patients talk to each other and, in the end, improve the efficiency and quality of patient care and outcomes. Also, we made all the source codes, datasets, and model weights public so that medical dialogue models can be improved in the future. This project’s training data, codes, and weights can all be found at this URL.