Segmed to Integrate Its RWiD into Bayer’s AI Innovation Platform

Segmed has signed an agreement with Bayer to integrate Segmed’s solution for real-world imaging data (RWiD) into Bayer’s AI Innovation Platform (AIIP) to accelerate the development of AI-powered healthcare applications. 

This agreement aims to help researchers and developers at diverse organizations (academia, solution developers, innovation centers, healthcare providers, regulators, and startups) obtain hard-to-find real-world imaging data to build scalable and compliant AI-powered medical imaging software products by offering Segmed’s high-quality and diverse real-world medical imaging data and cohort builder on Bayer’s cloud-based end-to-end integrated AI Innovation Platform.

Segmed’s real-world imaging data platform is integrated into a large network of healthcare partners, providing millions of de-identified real-world imaging studies that are linkable to medical records. 

Paired with Bayer’s expertise in healthcare regulation and the medical clinical field, this technology has the potential to significantly impact the healthcare ecosystem, aiming to advance patient outcomes, reduce costs, support radiologists, and accelerate the pace of innovation.

“Being part of an end-to-end AI developer environment has been a key vision since we founded Segmed, and I am excited we can add our expertise in technology powered, de-identified, imaging data networks to fulfill this mission with Bayer,” said Dr. Martin Willemink, Co-founder and CEO of Segmed. “Through our collaboration, we will enable healthcare organizations to efficiently tap into fit for purpose data for them to build healthcare solutions for radiologists, ultimately improving patient outcomes.”

Bayer’s AI Innovation Platform is a cloud-based end-to-end software development platform designed to streamline and accelerate the development, validation, and deployment of imaging-based artificial intelligence and machine learning (AI/ ML) healthcare applications.

It aims to empower the development teams of healthcare organizations and startups in building scalable and compliant AI-enabled medical imaging software products and thereby potentially accelerate the development of groundbreaking and impactful solutions that ultimately benefit patients.