Skip to main content

Introduction

Welcome to the Knidian AI API documentation. This API provides advanced medical AI capabilities for generating differential diagnoses from clinical histories and transcribing medical audio recordings into structured clinical notes.

Overview​

Knidian AI API is a powerful tool designed for healthcare professionals and developers building healthcare applications. Our API leverages state-of-the-art AI models to analyze clinical histories and generate comprehensive differential diagnoses, helping healthcare providers make more informed decisions.

Key Features​

  • Differential Diagnosis Generation: Submit a clinical history and receive a structured differential diagnosis with probability scores
  • Medical Audio Transcription: Convert medical audio recordings into structured clinical notes with various templates
  • Multi-language Support: Process clinical histories and audio recordings in multiple languages
  • Triage Assessment: Get triage recommendations based on the severity of the case
  • Evidence-based Recommendations: Receive diagnostic tests and standard of care recommendations for each potential diagnosis
  • ICD-10 Coding: Automatic ICD-10 code assignment for each diagnosis
  • Clinical Note Templates: Choose from multiple note templates (SOAP, APSO, CHEDDAR, etc.) for transcribed audio

How It Works​

Differential Diagnosis​

The Knidian AI API uses advanced language models trained on medical literature and clinical data to analyze patient clinical histories. When you submit a clinical history, our AI:

  1. Analyzes the text to identify symptoms, signs, and relevant clinical data
  2. Matches these findings against a comprehensive database of diseases and conditions
  3. Calculates probability scores for potential diagnoses
  4. Generates a structured differential diagnosis with supporting evidence
  5. Provides triage recommendations and next steps

Medical Audio Transcription​

Our transcription service converts medical audio recordings into structured clinical notes. The process works as follows:

  1. You upload an audio file containing medical conversation
  2. Our system transcribes the audio using advanced speech recognition
  3. Speaker diarization identifies different speakers in the conversation
  4. The transcript is analyzed to identify medical content
  5. The content is formatted into a structured clinical note based on the selected template

Use Cases​

  • Clinical Decision Support: Assist healthcare providers in generating comprehensive differential diagnoses
  • Medical Documentation: Automate the conversion of medical conversations into structured clinical notes
  • Medical Education: Help medical students learn clinical reasoning and differential diagnosis
  • Telemedicine Applications: Enhance remote healthcare platforms with AI-powered diagnostic support and documentation
  • Healthcare Research: Support clinical research with structured analysis of patient cases
  • Clinical Workflow Optimization: Reduce documentation time by automatically transcribing and formatting patient encounters
  • Multi-language Healthcare: Support medical documentation in various languages for diverse patient populations

Getting Started​

To start using the Knidian AI API:

  1. Obtain an API key
  2. Learn how to make your first API request
  3. Explore the API reference for detailed endpoint information

About Knidian AI​

Knidian AI is dedicated to improving healthcare outcomes through responsible AI. Our team of medical professionals and AI researchers work together to develop tools that support clinical decision-making while maintaining the highest standards of accuracy and ethical use.