Large Language Models (LLMs) in healthcare have the potential to revolutionize tasks like document summarization and text classification.
LLM research in the medical domain involves using LLMs directly on medical tasks, fine-tuning existing LLMs for medical data, and training medical LLMs from scratch.
There is a need to focus on training LLMs on real-world hospital data for more accurate and practical applications in healthcare.
Using AI for diagnosing patients is not recommended yet due to lack of real-world healthcare testing.
Foresight and ChatGPT are two AI models explored for patient diagnosis, with Foresight showing slightly superior relevancy performance.
AI models like Foresight can be valuable in healthcare for decision support, patient monitoring, digital twins, education, and matching patients to clinical trials.