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Multi-Disease AI Diagnosis System Using Minimal Code and LLM-Powered Explanations

2025-07-16

Abstract excerpt

This paper presents a novel approach to multi-disease diagnosis using a lightweight neural network architecture combined with large language model (LLM) powered explanations. We demonstrate how modern AI assistants can enable rapid development of functional healthcare AI systems with minimal code implementation. Our system achieves 72% accuracy on synthetic multi-disease classification tasks (Diabetes, Parkinson's...

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Literature Corpus work
fae35479-5f08-57ba-a147-9395ba777cf4
DOI
10.22541/au.175269957.75269693/v1
Open publication

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Multi-Disease AI Diagnosis System Using Minimal Code and LLM-Powered ExplanationsDOI 10.22541/au.175269957.75269693/v1
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