Adithyan Suresh

Integrating Large Language Models into Hospital Workflows

For doctors: The LLM can analyze patient data, suggest diagnoses, summarize research findings, and even help write accurate reports and discharge summaries.
For patients: The LLM can answer medical questions in a clear and understandable way, provide personalized health information, and even offer emotional support through chatbots.

We plan to use Python, PyTorch, and Transformers to train a fine tune LLAMA2 on your medical data, then build a secure backend with Django and user-friendly interfaces with React for doctors, patients, and hospitals.

Doctors gain AI-powered assistance in diagnosis, treatment, and documentation, allowing them to focus on personalized care. Patients receive easier access to clear medical information, personalized education, and even emotional support through chatbots.