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Infermedica
Infermedica

Infermedica

By Infermedica


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Highlights : About Infermedica

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Related symptom suggestions

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Possible cause suggestions

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Custom knowledge base

About Infermedica

Infermedica is an artificial intelligence (AI)-powered platform which collects, analyzes and employs medical knowledge and provides advanced reasoning technology to identify patients' conditions. Dialog-based apps utilize an adaptive selection algorithm to generate diagnostic hypotheses, which are changed if new evidence provided by users suggests a diagnosis with a better fit. The inference engine draws conclusions automatically from patient data, and machine learning technology analyzes patient records and medical literature. Statistics are derived from data extracted from millions of anonymized patient records, and medical information is sourced from well-established publications and curated by a board of physicians. The white-labelled Healthform enterprise platform for web, mobile, chatbot or voice-enabled applications enables patient triage, symptom checking, and clinical decision support, while the medical API allows integration of the diagnostic engine with third party applications.

Specifications

  24/7 Support
Yes
  Business Size
Mid-Market
  Deployments
Cloud
  Language Support
English
  Platforms

Product Details

Features

Machine learning

Custom Natural Language Processing (NLP) technology

Custom translations

Custom knowledge base

Patient diagnosis

Diagnostic questions

Possible cause suggestions

Patient triage

Triage classification algorithm

Related symptom suggestions

Benefits

The open developer portal and medical API allow developers to build diagnostic applications or integrate the diagnostic engine with third party systems.

The medical knowledge base can be customized to solve domain-specific challenges using the AI framework.

Infermedica’s medical knowledge database includes probabilistic relationships between conditions, symptoms, and other diagnostic variables, extracted from well-established medical publications and anonymized patient records, with content curated by expert physicians.

The adaptive question selection algorithm and Natural Language Processing technology enable the creation of interactive dialog-based apps to generate patient diagnoses based on the evidence provided.

The inference algorithm provides users with a probability-based ranking of possible conditions, which can be used to check patient symptoms, triage patients, and support clinical decisions.

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