Small Language Models (SLMs) in healthcare shine in specific tasks due to their efficiency and affordability. They can be trained on focused datasets like medical records or research papers to excel in tasks like:
Personalized healthcare assistants: Chatbots tailored to specific conditions can provide patients with educational materials and answer questions relevant to their needs.
Clinical documentation support: SLMs can assist doctors by summarizing patient records, generating reports, or identifying relevant information in medical literature.
Drug discovery and research: Analyzing vast amounts of scientific data to identify potential drug targets or accelerate research efforts.
Telehealth and remote monitoring: SLMs can power chatbots for virtual consultations, analyze patient self-reported data, and even detect potential health issues from conversations.