Inspiration

A colleagues experience

What it does

Analyzes conversation with doctor, tries to find the contradictions between the medicines and doses doctors give to the woman.

How we built it

With AI, connceting to the gpt-whisperer

Challenges we ran into

Indexing of the databases, speed of the processing, hallucination, benchmarking, validation of the answers

Accomplishments that we're proud of

2-3 seconds delay before the app finds a danger medicines pairs or groups which interact with each other wrong

What we learned

How to ship fast with AI, how the gpt-whisperer works, how to build and regulate a knowledge graph, how to run the queue of agents working for the whole time.

What's next for HormoneRx

Inscrease the cases it can cover, increase the database of the medicines which interact with each other badly.

Built With

  • agents
  • audio
  • benchmarking
  • clinical-decision-support
  • contraception
  • doctor
  • drug-interactions
  • evidence-based
  • graphs
  • health
  • healthcare
  • hormones
  • indexing
  • medical-ai
  • medication-safety
  • patient-safety
  • real-time
  • speech-to-context
  • woman
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