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Home»Machine-Learning»RamSoft Companions with Koios Medical to Present Built-in AI-Powered Software program for Breast and Thyroid Most cancers Analysis
Machine-Learning

RamSoft Companions with Koios Medical to Present Built-in AI-Powered Software program for Breast and Thyroid Most cancers Analysis

Editorial TeamBy Editorial TeamSeptember 25, 2025Updated:September 25, 2025No Comments3 Mins Read
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RamSoft Companions with Koios Medical to Present Built-in AI-Powered Software program for Breast and Thyroid Most cancers Analysis
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Built-in Resolution with Koios Software program Helps Clinicians Enhance Detection Whereas Enhancing Workflow Efficiencies

RamSoft Inc., a worldwide chief in cloud-based RIS/PACS radiology options, has introduced a brand new distributorship settlement with Koios Medical, developer of Good Ultrasound™, an AI-powered scientific choice help resolution for breast and thyroid most cancers detection and prognosis. By way of this partnership, Koios AI software program can be totally built-in into RamSoft’s cloud-native RIS/PACS platforms, giving RamSoft prospects entry to a strong new toolkit to strengthen their imaging packages.

Koios Good Ultrasound™ is constructed on ensembles of algorithms educated with a proprietary numerous dataset of over 2 million ultrasound pictures. By analyzing 17,900 options per picture, the AI offers an correct and reimbursement eligible most cancers threat evaluation that helps physicians and technologists classify lesions with higher precision. Scientific and operational outcomes present that Koios DS allows clinics to see a median of as much as 30% extra sufferers per day, obtain 49% much less interpretation time, and ship a 100-400% return on funding to prospects —all whereas supporting earlier illness detection, avoidance of expensive downstream procedures and coverings and improved affected person outcomes.

With Koios now obtainable immediately by means of RamSoft, prospects achieve the power to increase their Girls’s Well being choices with seamless AI integration—with out added technical complexity or integration prices. This collaboration marks a key addition to RamSoft’s rising portfolio of 15+ built-in AI purposes.

Additionally Learn: AiThority Interview with Tim Morrs, CEO at SpeakUp

“We’re excited that, now as an built-in associate, our Koios resolution can be simply accessible to RamSoft’s massive and rising consumer base of radiologists and imaging practices,” stated Chad McClennan, President & CEO of Koios Medical. “Our collaboration implies that RamSoft prospects can rapidly entry and profit from elevated detection accuracy and automatic ultrasound reporting enabled by Koios for breast and thyroid imaging procedures as we speak, and extra sooner or later —with out added complexity or integration prices. Within the U.S., practices can instantly profit from the reimbursement pathway obtainable to them for Koios procedures.”

“Koios provides vital worth to RamSoft’s complete Girls’s Well being portfolio, which affords a large suite of AI and reporting instruments built-in into our cloud-based RIS/PACS platforms,” stated Vijay Ramanathan, Co-Founder & CEO of RamSoft. “Koios offers our prospects a strong AI platform that enhances breast and thyroid ultrasound procedures, that are so important within the evaluation of most cancers.”

RamSoft Girls’s Well being Portfolio

With the addition of Koios, RamSoft’s Girls’s Well being portfolio now consists of:

  • Stana™ breast monitoring and reporting platform,
  • iCAD’s Profound AI® 2D and AI-based FDA-cleared most cancers detection and density platform,
  • Therapixel’s MammoScreen® 2D & 3D FDA-cleared, complete breast most cancers screening AI-solution, and
  • Ikonopedia web-based breast reporting and monitoring platform, together with BI-RADS® compliant structured reporting.

Additionally Learn: Cognitive Product Design: Empowering Non-Technical Customers By way of Pure Language Interplay With AI-Native PLM

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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