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Coreline Soft and Mint Medical Announce Partnership to Advance AI-Enabled Lung Cancer Screening

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HEIDELBERG, Germany and SEOUL, South Korea, June 18, 2026 /PRNewswire/ — Coreline Soft and Mint Medical today announced a partnership to advance AI-enabled lung cancer screening, following more than six months of technical collaboration and integration work. Through this collaboration, Coreline Soft’s AI imaging platform AVIEW has been integrated into mint Lesion, Mint Medical’s flagship platform for structured reporting and standardized imaging data management, to support clinical lung cancer screening workflows.

The partnership supports an end-to-end workflow connecting AI-powered pulmonary nodule detection, multi-disease analysis, structured reporting, longitudinal nodule tracking, and multi-site reading management. While initially focused on Germany, where LDCT-based lung cancer screening entered statutory health insurance reimbursement in April 2026, the collaboration is designed to scale across international markets where structured and operationally rigorous screening programs are emerging.

Background: Why Germany, Why Now

Germany’s national screening framework requires double reading by independent institutions, CAD software utilization, longitudinal follow-up, quality assurance, and GDPR-compliant multi-site data management. In this context, AI’s role has evolved from optional decision support to operational necessity. What hospitals now require is not simply a high-performing algorithm, but an integrated workflow that connects detection, structured reporting, and follow-up into a reliable, scalable system. This collaboration is built to meet that requirement — and to serve as a replicable model for other national programs adopting similar standards.

“With the integration of Coreline Soft’s AI solution into mint Lesion, we are specifically addressing the requirements of lung cancer screening and enabling scalable, quality-assured workflows, longitudinal follow-up, and optimized interaction with AI results. Coreline Soft contributes an established and clinically validated solution that complements our structured reporting workflows very well. The partnership also allows us to bring the full workflow to our markets in a consolidated way and provide hospitals with seamless access.”
— Onur Özek, Managing Director, Mint Medical

“Coreline Soft has developed AI that goes beyond pulmonary nodule detection, analyzing findings related to lung cancer, COPD, and coronary artery calcification from a single chest CT through opportunistic analysis. Mint Medical’s mint Lesion platform connects those AI-derived findings to structured reporting and longitudinal patient management, which is exactly what Germany’s national screening infrastructure demands. When detection, structured reporting, and follow-up management are joined in a single operational flow, AI becomes the infrastructure that transforms how a healthcare system operates.”
— Jin-Kook Kim, CEO, Coreline Soft

Coreline Soft’s AVIEW has been applied in over 2.5 million real-world clinical reads across hospitals in 19 countries, and is the adopted AI solution in major lung cancer screening initiatives including HANSE (Germany), IMPULSION (France), and RISP (Italy).
Through the mint Lesion platform, partner technologies are incorporated directly into the radiologist’s reading process, supporting standardized data collection from medical images. The open environment allows radiologists to utilize AI-augmented third-party applications while documenting findings in a structured format.
The integration of AVIEW into mint Lesion is designed to enable AI-detected lung nodule findings to be incorporated into structured reporting workflows, supporting Lung-RADS classifications, volume doubling time (VDT) calculations, and follow-up planning. This helps reduce manual workload and improve consistency across multi-site lung cancer screening operations.

About Coreline Soft
Coreline Soft is a medical AI company that develops and commercializes AI-powered chest CT imaging software. Its flagship AI platform, AVIEW, simultaneously detects pulmonary nodules, quantifies emphysema, and assesses coronary artery calcification from a single low-dose chest CT — delivering multiple clinical insights without additional imaging.

About Mint Medical
Mint Medical, a Snke company, is a global leader in software solutions for structured reporting and data-driven radiology. Its flagship platform, mint Lesion, streamlines the diagnostic workflow in clinical routine and research by transforming medical images into high-quality, reproducible data. Mint Medical provides a vendor-neutral ecosystem that integrates advanced, AI-augmented solutions from third-party partners — including automated lesion detection and segmentation — directly into the radiologist’s reading process. By bridging the gap between imaging findings and standardized clinical criteria, Mint Medical enables the precise, longitudinal assessments essential for the advancement of precision medicine.

Media Contacts
Coreline Soft
General Inquiries
Email: global.mkt@corelinesoft.com

PR Inquiries
Youna Kim, PR Manager
Email: youna.kim@corelinesoft.com

Subject Matter Expert
Franck Ruiz, Marketing Management
Email: franck.ruiz@corelinesoft.com

Mint Medical
Media Inquiries
Corina Leibli, VP MarCom
Email: corina.leibli@mint-medical.com
Phone: +49 6221 32180-21 (CET+1)

Subject Matter Expert
Dr. Sigrid Auweter, Product Management
Email: sigrid.auweter@mint-medical.com

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Brownfield Is the Real Test of Automation: How ForwardX Scaled 484 AMRs in a Live Auto OEM Factory Without Production Downtime

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Chery Dalian by the Numbers:

484 AMRs deployed across the facility~1,000 vehicles produced daily127 material categories automatedBodyshop and Final Assembly workshops coveredProduction maintained throughout deployment

BEIJING, June 18, 2026 /PRNewswire/ — Most automotive factories are not built for automation. They are built for production.

More than one year after deployment began, ForwardX’s AMR system continues to scale across Chery Automobile’s Dalian manufacturing facility without disrupting production. Today, the project ranks among the largest brownfield AMR deployments in the automotive industry.

That reality makes brownfield automation one of the industry’s most difficult challenges. Unlike greenfield facilities, existing factories must modernize while maintaining output. Automation must adapt to legacy systems, fixed layouts, and active operations rather than being designed into the facility from the start.

With a fleet of 484 AMRs, the deployment continues to expand while production remains fully operational, allowing automation to scale without major reconstruction or factory shutdowns.

The Chery Dalian facility produces approximately 1,000 vehicles per day, making production continuity a critical operational requirement. Across its welding and final assembly workshops, AMRs support a wide range of intralogistics processes, including line-side delivery, SPS cart transportation, powertrain delivery, and empty-container return.

In the Bodyshop, 204 AMRs currently support delivery of 32 material categories, covering more than 80% of required material demand. In final assembly, 280 AMRs manage transportation for 95 material categories, supporting nearly 90% of assembly-line material requirements.

Brownfield success depends on much more than vehicle autonomy.

Existing factories present a unique set of challenges: limited line-side space, mixed traffic involving workers and forklifts, legacy IT infrastructure, changing production requirements, and minimal deployment windows. The challenge is transforming an existing logistics system without disrupting production. While many automation projects demonstrate success at the pilot stage, scaling to hundreds of robots in active automotive production environments is a different challenge altogether.

To address these challenges, ForwardX combined vision-based autonomy, fleet orchestration, manufacturing integration, and phased implementation strategies. Rather than requiring major facility changes, the deployment was integrated into existing production and logistics workflows.

The system operates alongside workers, conveyors, robotic equipment, and existing material-handling assets. Through phased rollout and continuous optimization, automation was introduced progressively while maintaining production stability.

“The challenge is transforming an operating factory while protecting production,” said Nicolas Chee, Founder and CEO of ForwardX Robotics. “Brownfield automation requires much more than robotics. It requires integration, orchestration, and a deep understanding of manufacturing operations.”

As OEMs and Tier 1 suppliers continue upgrading existing facilities, brownfield transformation is becoming a key focus across the automotive industry.

For most manufacturers, future automation investments will be deployed inside existing factories rather than new ones.

Greenfield projects prove that robots can operate.
Brownfield projects prove that automation can scale inside real-world manufacturing environments.
Chery Dalian demonstrates what that transformation looks like in practice.

Want the full story?
Download the Chery Dalian Brownfield Automation White Paper here: https://www.forwardx.com/ 

Join us at Automate 2026 in Booth #1025 to experience the future of automotive logistics.

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RPI Consultants Launches Invoice Statement Reconciliation in Yoga for FSM

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BALTIMORE, June 18, 2026 /PRNewswire/ — RPI Consultants, a leading ERP implementation, optimization, and software firm, has launched Invoice Statement Reconciliation for its Yoga for FSM accounts payable (AP) solution. The new feature matches vendor statements against AP data, researches unmatched lines, and automatically surfaces exceptions.

The feature was introduced to address ongoing vendor statement reconciliation challenges. Teams often receive statements of what vendors believe they’re owed, then spend hours cross-referencing invoice records against PDFs and tracking open items in spreadsheets. As a result, mismatches go unnoticed and missed invoices show up as unexpected costs.

Yoga’s Invoice Statement Reconciliation simplifies the process by capturing every vendor statement, creating a clean workspace for the reviewer, and running pre-investigation on every unmatched line; including fuzzy invoice-number search, amount matching, PO and payment-history lookups. The solution flags and resolves exceptions as they enter the system.

For teams that operate in complex AP environments, Invoice Statement Reconciliation also supports optional accrual tracking and automation. When an invoice hasn’t arrived yet, Yoga can track the accrual and automate its reversal when it does, with all activity confirmed in the ERP.

“AP teams shouldn’t be spending hours reconciling spreadsheets against PDF statements,” said Chad Tucker, VP Yoga Software. “Yoga does the research before the reviewer ever opens the statement, saving them time so that they can instead focus their efforts on higher value work.”

Yoga for FSM seamlessly integrates with Infor CloudSuite, Lawson V10, and Workday. The solution is fully hosted and managed by RPI and is built on more than 25 years of AP automation experience across hundreds of client engagements. To learn more about Yoga’s Invoice Statement Reconciliation, visit www.rpic.com/how-tos/invoice-statement-reconciliation-in-yoga/.

About RPI Consultants
RPI Consultants is an ERP implementation, optimization, and software firm with over 25 years of experience delivering best practices through technology, systems integration, and process redesign. As a premier Infor CloudSuite implementation partner, RPI prides itself on providing customers with the expertise and strategic thought leadership they need to be successful. For more information on RPI, visit www.rpic.com.

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SOURCE RPI Consultants

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VODA.ai Introduces Advisor, a Conversational and Agentic Decision Support AI for Water Utilities and Engineering Consultants

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BOSTON, June 18, 2026 /PRNewswire/ — VODA.ai, the leading AI decision support software for water utilities, announced today VODA.ai Advisor, a conversational and agentic AI that helps water professionals move from data to decisions faster.

Built specifically for water utilities and engineering consultants, VODA.ai Advisor allows users to interact with intelligent planning and analytics workflows through simple natural language. Users can ask VODA.ai Advisor to generate project plans, adjust criteria and settings, evaluate scenarios, and provide advice on industry best practices to support more informed decision-making.

“Every person at a utility should be able to turn data into a decision,” said Benjamin Schroeder, CTO of VODA.ai. “We are building VODA.ai Advisor to give everyone at a utility a faster way to ask questions, understand risk, explain recommendations, and move from analysis to action. It helps everyone access the insight they need to make better infrastructure decisions.”

VODA.ai Advisor supports pipe replacement planning, project justification and verification, meter revenue protection, lead service line programs, water loss initiatives, executive reporting, and project prioritization. The VODA.ai team will be demonstrating its capabilities at the 2026 American Water Works Association ACE Conference in Washington, D.C.

As AI reshapes how organizations interact with data, VODA.ai is expanding its native AI capabilities and bringing that shift to the water sector. With VODA.ai Advisor, utilities and their partners can simplify sophisticated analysis, unlock insights faster, and make confident decisions about the infrastructure their communities rely on every day.

VODA.ai Advisor will be available to customers later this year.

About VODA.ai 

VODA.ai provides AI decision support software for water professionals. The company helps turn infrastructure data into defensible decisions that prevent failures, prioritize capital, reduce risk, and protect revenue. VODA.ai supports utilities and engineering consultants with predictive analytics for pipe risk, meter accuracy, capital planning, lead service line management, and other critical infrastructure challenges. 

For more information, visit www.voda.ai

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SOURCE VODA.ai

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