Aiforia NIH STRIDES  

Aiforia NIH STRIDES

Aiforia® Create is the most versatile tool for developing, customizing, and validating deep learning AI models for histological features and patterns in image analysis. Its cloud-based, collaborative working environment allows multiple users to work together in real-time, anywhere in the world. Praised for its intuitive user interface, it allows users a fast start, even without any prior AI experience. Visual data enriched with numerical verification and validation metrics enable effortless performance evaluation of AI models, ensuring top quality. Thousands of AI models have been developed with Aiforia® Create for research and clinical use cases; applications ranging from cancer research to neuroscience and even outside the medical field. Explore interesting use cases and more below.

Aiforia® Create brochure

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 Open the brochure to learn about the benefits, unique functionalities, and use cases.

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Publications

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More scientific publications and posters can be found here:
https://www.aiforia.com/aiforia-publications

The intuitive user interface allows a fast start

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Aiforia® Create is designed for pathologists and scientists. It requires no data science or software programming expertise. Its cloud-based nature makes it extremely fast to
implement; no installation is needed.

“Aiforia Create is a great solution for pathologists with no data science or specific coding
expertise willing to start working hands-on with AI in their research. The cloud-based
platform is very user-friendly, and the open and on-demand communication with their
knowledgeable team of scientists is a perk.” – Eleonora Duregon, Assistant Professor of
Pathology at the Department of Oncology of the University of Turin

AI stories by Aiforia users

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Aiforia’s team interviewed Aiforia® Create users about their research projects and
experience using the AI development tool. Read or watch the latest episodes:


Case study: automated detection and classification of bone marrow cells
Developing a deep learning algorithm for the automated detection and classification of
bone marrow aspirate smears in cytological preparations.

 

Galileo case study: exploring AI’s potential in kidney transplantation
An Italian research team built an AI model for kidney pathology to assist on-call
pathologists and renal pathologists in their routine work.

 

Case study: enhancing mesothelioma research with AI
A research team from the University of Turin used Aiforia® Create to build an AI model for
mesothelioma subtyping with reticulin stain. Read more or watch the video interview.

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Blog: Aiforia® Create: from research AI models to productization for clinical practice
Integration possibilities, scalability and cloud resources, graphics processing unit (GPU), support, transition to clinical, security, and features are all critical aspects to consider when comparing AI development tools for image analysis in pathology. Learn how Aiforia tackles these topics.

Webinar: Using AI in anatomic pathology: application to interstitial lung disease and liver transplantation
Watch this webinar to discover how artificial intelligence can be helpful in anatomic pathology from diagnostic, prognostic, and therapeutic perspectives. Dr. Smith, from the Mayo Clinic, will discuss two AI models he has developed using Aiforia® Create.

Webinar: Using prognostic AI models in pathology: case colorectal cancer
Learn how artificial intelligence can aid oncologists and pathologists working in the gastrointestinal field. This webinar showcases an AI model, developed by the Mayo Clinic and Aiforia, that identifies important histological features of colorectal cancer and provides a recurrence prediction estimate useful for treatment decisions.