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Stratasys Signs Agreement with Ricoh USA, Inc. for Print-On-Demand Medical Models

Stratasys a leader in polymer 3D printing, announced  it has signed an agreement with Ricoh USA, Inc. to provide on-demand 3D-printed anatomic models…

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This article was originally published by AITHORITY
Stratasys Signs Agreement with Ricoh USA, for Print-On-Demand Medical Models

Stratasys a leader in polymer 3D printing, announced  it has signed an agreement with Ricoh USA, Inc. to provide on-demand 3D-printed anatomic models for clinical settings. Stratasys’ Patient-Specific 3D Solutions combines 3D printing technology from Stratasys, the cloud-based Segmentation-as-a-ServiceTM solution from Axial3D, and precision additive manufacturing services from Ricoh into one convenient solution. The new service builds on an existing relationship between Ricoh 3D for Healthcare and Stratasys to expand access to 3D-printed medical models.

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“We are providing an opportunity for healthcare providers to access state-of-the-art, precision additive manufacturing without absorbing the overhead costs”

Anatomic 3D-printed models are realistic, specific visualizations of a patient’s anatomy, allowing practitioners to plan and practice complex surgeries and improve communication between medical staff, the patient, and their families. Digital Anatomy technology from Stratasys even enables these models to be biomechanically realistic, with the feel and responsiveness of real bone and tissue.

While this method of surgical planning offers benefits to patients and care teams, the need for up-front capital investments and on-site 3D printing technical expertise are significant barriers to its adoption. This new service removes those barriers to expand access to more hospitals and clinics, and ultimately contributes to better outcomes.

The new offering gives clinicians and patients increased access to patient-specific 3D-printed models for pre-operative surgical planning, diagnostic use, and surgical education. Using these models, clinicians can demonstrate treatment decisions to patients and surgical staff. Surgical planning with patient-specific 3D models can improve clinical outcomes and drive significant savings through improved productivity.

With the new collaboration, customers can upload medical files to a secure cloud-based service where Axial3D’s artificial intelligence-powered software automatically converts medical scans into 3D printable files. The files are then printed on Stratasys 3D printers at Ricoh’s ISO 13485 certified facility, with the models shipped directly to the care facility. These changes allow a process that normally takes weeks to be completed in days, without the need for onsite 3D printing equipment or additive manufacturing technical expertise.

“With the advancement in imaging techniques and 3D-printing technology, we are seeing an increased demand for personalized solutions,” said Ben Klein, general manager of Patient-Specific Solutions for Stratasys. “We offer a simplified and scalable, comprehensive solution that increases access to patient-specific 3D-printed models in a fraction of time to help deliver highly personalized treatment and care.”

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The partnership builds on the companies’ proven history of successful collaboration. Ricoh’s quality control processes, manufacturing expertise, and healthcare experience provide the specialized production capacity necessary to scale access to models produced using Stratasys’ technology.

“We are providing an opportunity for healthcare providers to access state-of-the-art, precision additive manufacturing without absorbing the overhead costs,” Gary Turner, managing director of Additive Manufacturing, Ricoh USA. “Offering this solution means democratized, wider access to patient-specific 3D-printed models that can improve outcomes and the patient experience, while also enhancing physician education and training.

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[To share your insights with us, please write to sghosh@martechseries.com]

The post Stratasys Signs Agreement with Ricoh USA, Inc. for Print-On-Demand Medical Models appeared first on AiThority.




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