Cancer Centers

Clinical Trial Site Reads

The AI Metrics platform is an all-in-one solution for cancer centers looking to improve workflows and reporting for patients with advanced cancer in clinical trials and to generate research revenue from industry sponsors.

Clinical Trial Management

Establish or enhance a tumor imaging core lab to improve accuracy, efficiency and standardization for clinical trial patients with advanced cancer.
We make trial setup and ongoing management easy in the imaging research management system. 

Build trials and select criteria
Track study results and facilitate billing
Manage trials with ease and be 21 CFR Part 11 compliant
Shorten turnaround times
Set up reader worklists and utilize preliminary readers
Improve efficiency through enhanced data management
Reduce sponsor queries by eliminating incorrect data

Image Guided Workflows

Built-in conformity rules in the viewer ensure that clinical trial criteria are correctly followed without having to memorize all the rules. The workflows streamline image evaluation and reduce errors and omissions that lead to sponsor queries. All calculations and final objective response are automatically calculated and displayed.

Guided workflows walk users through the image analysis
Conformity checks reduce errors and omissions
Co-Pilot allows experts to rapidly review preliminary work from assistants or trainees
Automated reports provide crystal clear data for primary investigators, study coordinators, and study sponsors

Collaborative Research

Join other NCI-designated Cancer Centers in establishing a state-of-the-art tumor core imaging lab for advanced cancer clinical trials with imaging endpoints. Expand research by linking patient outcomes, radiomics, and more with existing research tools and databases. 

Generate research revenue and fund new research
Conduct advanced radiomic analysis on every patient
Export imaging data to associate with other research systems and databases
Share annotated images, outcomes, and other research data across departments and institutions 

Powerful features for clinical trials

Tumor Metrics

Leverage AI to standardize tumor measurements and labeling of target lesions, non-target lesions, and new sites of disease. The labels remain consistent throughout the entire clinical trial. Co-Pilot facilitates longitudinal tracking of all lesions and image findings over time and supports the world’s fastest review of work by assistants or trainees. 

Advanced Reports

All measurements are extracted with automated calculation of tumor burden, percent changes, non-target lesion response, new sites of disease, and final objective response. Results are displayed in advanced reports that include a graph, table, and key images that are useful for completing case report forms and for discussing treatment progress. 


Cancer centers can complete clinical practice and clinical trial reads simultaneously or independently. The AI Metrics viewer can be launched from an existing radiology worklist or a separate clinical trial worklist. The zero-footprint viewer automatically loads on top of the PACS viewer without the need for separate login credentials, and the reports can be sent to the PACS, RIS, and/or EMR. 

Got a question?

Why should I use AI Metrics?

AI Metrics provides a comprehensive imaging research management system and the best augmented intelligence viewer and reporting system for organizing all aspects of image analysis in clinical trials with imaging endpoints. AI Metrics increases accuracy, efficiency, and standardization, facilitates generation of research revenue, enhances research opportunities, and reduces errors. Your clinical trial patients deserve the best. They deserve AI Metrics. 

How was AI Metrics built?

AI Metrics was built by a team of radiologists, oncologic providers, data scientists, software engineers, statisticians, and patient advocates. The foundation of our AI, workflows, Co-Pilot, Force Push, and automated reports came from Andrew Smith MD PhD, a body and oncologic radiologist with deep experience in clinical practice and clinical trials. Dr. Smith’s pain points in oncologic imaging and reporting were a foundation to build upon. AI Metrics solved these pain points and is now the preferred system by radiologists and oncologists. 

How can AI Metrics generate research revenue? 

Industry sponsors of advanced cancer clinical trials need accurate and timely results. These industry sponsors compensate cancer centers for clinical trial data that is highly organized and free of errors and omissions. This reduction in errors and omissions saves significant time and money for the local sites, the CRO, and the study sponsor. Ask us about how peer institutions and cancer centers charge for industry sponsored clinical trial reads using AI Metrics.

How long does it take to install AI Metrics?

A full installation of AI Metrics takes only a few days. However, the contracting and security review that proceed installation can take weeks. Rest assured, AI Metrics has experience to work through these steps and has passed the toughest of security reviews. 

Is AI Metrics installed on site or on the cloud? 

AI Metrics recommends a cloud-based version to improve security, reduce costs, and facilitate improved support and faster upgrades. We can also install on premise on a local server behind the institutional firewall.

How many users can AI Metrics support?

AI Metrics can support as many users as needed. We have different profiles for each user including admin, trail staff, prelim reader, final reader and more. 

Can AI Metrics connect to multiple PACS and multiple hospitals? 

AI Metrics can connect to multiple PACS and has worked with institutions with multiple hospitals. We can provide an enterprise-wide solution. 

How much does AI Metrics cost?

AI Metrics pricing is based on the institutional needs and requested installation method. The price is a small fraction of the revenue generated from industry sponsored clinical trials. In addition, AI Metrics markedly improves the efficiency of the radiologists, study coordinators, and primary investigators. Furthermore, sponsor queries are reduced due to elimination of errors, conformity to clinical trial criteria, and improved standardization, saving time for all parties.