Llama-2 Reasoning Support
Clinical reasoning is at the center of medical care. History taking and physical examination findings provide the greatest part to identify a preliminary list of diagnoses. But clinical reasoning suffers from bias. Supporting reasoning through large language models might help healthcare providers in diagnostic thinking. As initial step a list of possible diagnoses is created from a symptoms. In the future chained prompts might additionaly produce suggestions for further diagnostic workup based on the list of differential diagnosis or provide key findings that help to differentiate between the preliminary list of diseases.
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"Good use of Llama 2 to build a Support Application for Healthcare and also the streamlit app. It would be great to have a more detailed presentation regarding the business value that this application brings. Highlighting how it differentiate itself from existing apps that offers the same solution. Providing a comparative analysis can help better understand the uniqueness and advantages of your project. Overall, your work is certainly a promising start, and I look forward to seeing how it evolves and the features that you gonna add in the future. Thanks for putting efforts in building the project. "
Sumanth Papareddy
ML Developer Advocate
For Innovators & Creators