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Tutorial: How Developers Are Building Autonomous AI Agents to Interpret Medical Reports

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A developer tutorial published on DEV Community walks through building an autonomous AI physician assistant capable of interpreting raw medical lab results and recommending follow-up actions. The system combines OpenAI's GPT-4o, AutoGPT's feedback-loop architecture, and SerpApi to search real-time medical guidelines and hospital department information. Pydantic is used to enforce strict data validation, reducing the risk of hallucinated or malformed outputs from the AI. The agent analyzes abnormal findings, matches them to relevant hospital departments such as cardiology or endocrinology, and generates a structured health action plan with an urgency score. The guide is aimed at Python developers and requires API keys for both OpenAI and SerpApi to replicate the workflow.

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Tutorial: How Developers Are Building Autonomous AI Agents to Interpret Medical Reports · ShortSingh