Medical Report Generation and Diagnosis using Multimodal Data and Large Language Models (LLMs) Medical report generation and diagnosis have evolved significantly with the integration of multimodal data and large language models (LLMs). Multimodal data refers to the combination of various types of medical data such as images (e.g., X-rays, MRIs), text (e.g., patient history, physician notes), and lab results. This diverse data is crucial for accurate diagnosis and personalized treatment plans.
LLMs, like GPT-4, can process and analyze text-based information, but when combined with other modalities (such as image recognition from deep learning models), they create a more comprehensive diagnostic tool. These models can automatically generate medical reports by interpreting text and images, summarizing patient information, and suggesting potential diagnoses or treatment plans based on patterns in the data. The LLMs can also assist clinicians by providing quick insights and facilitating more accurate diagnoses, especially when time or human expertise may be limited.
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LLMs, Medical Image Analysis, Machine Learning
