The Synthesis Intelligent Radiology Platform can integrate any AI tool into radiology workflow without a customer having to change their underlying PACS, RIS or Reporting solution.

Many legacy imaging informatics solutions can not integrate different AI algorithms into their static workflows.

We abstract all workflows to the cloud and then can allow users to implement AI algorithms into many parts of the radiology workflow.



Our AI Strategy

We build our own AI


We selectively partner with AI companies to bring the best AI products to our customers.


Our comprehensive suite of AI software and workflow tools assists and expands the capabilities of clinicians.

Synthesis is developing AI-enabled tools which are specifically targeted at improving physician efficiency.

In addition to building our own tools, Synthesis provides a viable and scalable route to market for its AI partners.


Scalable Intelligence for Frontline Clinicians

Synthesis Health AI-enabled software provides an instant second opinion distilled from the combined knowledge of a vast, ever-growing network of radiologists through the power of machine learning.

Revolutionary Quality Assurance Capabilities

AI-enabled software will support quality improvement within our Synth.QA program to to ensure we learn from our errors rather than make excuses.

Intuitive Integration

Synth.AI integrates seamlessly into existing clinical information systems with no disruption to workflow; outputs are available within any standard radiology viewer.

Synth.AI is integrated with our Synth.OS platform, and we’ve partnered with leading PACS manufacturers to bring these solutions to healthcare providers around the world.

Unparalleled AI Transparency

We put the power of AI-enabled software in the hands of clinicians, who are provided critical information at the right time, so they can decide what’s important.

Advanced Diagnostic Support and Workflow Tools

Synth.AI-enabled software will weave together image analysis and natural language processing to create a broad set of vendor-agnostic machine learning tools that can be easily integrated into any workflow.

Responsible AI

Our AI-enabled software is built on robust scientific principles, utilizing professionally annotated, demographically relevant data, and are validated using the highest industry standards.

Synthesis has a stringent product release process and quality system for every tool we create.  Synthesis has ISO13485 certification.

Synth.AI Chest (formerly XrAI)

The First AI Tool for Radiology Authorized by Health Canada as a Certified Medical Device

Synth.AI Chest* is a clinical decision support and quality-control tool that uses machine learning to classify and highlight regions of abnormality in the lungs and pleural spaces. It provides immediate analysis of chest radiographs, enhancing the clinician’s ability to diagnose quickly and accurately.

*available in Canada

How it works:

PACS-integrated operation – Synth.AI Chest is integrated directly into the PACS viewer, automatically identifying regions of interest in the image.

Confidence Dial – A unique feature of Synth.AI Chest is the Confidence Dial, which places control in the hands of clinicians. The Confidence Dial allows clinicians to control the output of the algorithm using an intuitive interface, provisioning unprecedented transparency into the performance of the algorithm.

Geographically and Demographically Diverse Data – Our algorithm is built upon longitudinal, multi-source, population-wide data.

Synth.AI FollowUp

Ground-Breaking, Intelligent Follow-up Management Tool

Synth.AI FollowUp is a quality assurance tool that will automatically detect recommendations for follow-up in radiologists’ reports. It will provide an intuitive way to minimize lost follow-up recommendations, ensuring clinics can optimize operations and their patients will receive the care they need.

How it works:

Natural Language Understanding (NLU) – Synth.AI FollowUp uses neural-net-based models for understanding the context of the text being processed. NLU is able to analyze and understand the entire radiology report and produce accurate results that help clinicians provide timely, efficient care

Intelligent Follow-up Detection – Combining binary classification and entity-extraction models for follow-up identification, Synth.AI FollowUp detects whether a radiologist recommended a follow-up, the type of exam, the part of the body concerned, and the recommended date for the exam.

Streamlined Workflows – Synth.AI FollowUp is designed to seamlessly integrate into existing PACS/RIS workflows, allowing clinics to identify follow-up recommendations and coordinate scheduling all in one place to maximize operational efficiency.

Improved Patient Trust – By minimizing scheduling and follow-up errors, clinics can reduce the risks of delayed patient diagnosis and build lasting, trusted relationships with their patients.