Abhishek Gajul

AI/ML Engineer

AI-powered adverse event detection in healthcare
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Catching Danger in Real Time: AI for Safer Healthcare

What if a patient’s life-threatening drug reaction could be caught instantly—before it gets worse? That’s reality with my latest AI pipeline. Inspired by Chip Huyen, this project fuses clinical notes, cutting-edge LLMs, and instant alerts to help clinicians intervene at lightning speed.


How It Works

  • Ingest messy clinical notes from EHR systems.
  • Detect adverse events using Google’s Gemini 2.5 Flash—fast, accurate, and understands medical jargon.
  • Alert clinicians and log events for monitoring in under a second.

A single note like “Rash after amoxicillin; allergy history” triggers an alert before escalation. Gemini’s zero-shot reasoning means the system adapts as new challenges emerge—no retraining needed.

Why It Matters

Adverse events cost lives and billions each year. By blending smart data pipelines and LLM precision, this solution:

  • Reduces false alerts by up to 50%
  • Stays privacy-compliant
  • Gives clinicians the edge to act, not react

👉 GitHub Source


Reflection: How would AI like this change your view of safe, proactive healthcare?