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All best wishes on International Women’s day

Vmodev Women's day

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On the morning of March 16, Vmodev members raised toast to the new home at the ribbon-cutting Ceremony of the 7th VMO office.Over nearly 8 years of establishment and development, Vmodev has made a milestone marking remarkable growth in all aspects. We are constantly improving the quality of our services through the application of new technologies and the development of an experienced team of engineers and personnel.Following its development roadmap, Vmodev officially opened the 7th VMO office, on the 8th floor of IDMC building Ton That Thuyet, Hanoi.The new office has a floor area of up to 700m2, with a people-centric policy, Vmodev creates an environment where anyone can really enjoy their 8 hours a day there. Open office design, minimizing partitions to increase interaction, focusing on creating spaces for people to relax to balance work and life right in the office. Typically, they often have to sit by the computer for a long time, the desk and the comfortable headrest will support the back and spine protection for each member.And much more, it is the cohesion and creation of good values in a shared home - VMODEV

Vmodev members raised toast to the new home at the ribbon-cutting Ceremony of the 7th VMO office

Ceremony of the 7th VMO office

ceremony-of-the-7th-vmo-office

The earth reveals its innocence through the smiles of children. Best wishes for all the children on this special day.Happy International Children’s Day!!!

The earth reveals its innocence through the smiles of children!

Happy International Children’s Day 01-06

happy-international-children’s-day-01-06

Modern radiology departments are overwhelmed by imaging volumes that far outpace the number of available radiologists. In emergency settings or large hospitals, each radiologist might read hundreds of images per day, leading to fatigue, longer turnaround times, and a higher risk of diagnostic error. The demand for speed and accuracy in diagnosis is higher than ever.Pixel for Radiology aims to address this challenge through advanced AI-driven image analysis.<h3>What is Pixel for Radiology?</h3>Pixel for Radiology is an AI-based image interpretation solution that supports radiologists by automating the detection and triage of anomalies in radiological scans. It uses&nbsp;deep convolutional neural networks (CNNs) - a type of AI algorithm especially suited to image recognition to detect specific patterns and features in medical images such as CT scans, MRIs, and X-rays.The system works by ingesting DICOM files (the standard format for medical imaging), preprocessing them for noise reduction and contrast normalization, and then running them through trained AI models. These models are capable of recognizing various abnormalities, including:<ul><li>Intracranial hemorrhages</li><li>Pulmonary embolisms</li><li>Lung nodules</li><li>Bone fractures</li><li>Soft tissue lesions</li></ul>After processing, the AI highlights suspicious areas on the image and provides a confidence score, which helps radiologists quickly identify priority cases and validate findings.<h3>How It Works Technically</h3><ol><li>Preprocessing: The system applies algorithms to standardize image intensity, segment anatomical regions (e.g., lung fields, brain matter), and align images for optimal analysis.</li><li>Deep Learning Inference: CNNs trained on labeled datasets of over 1 million images identify abnormalities. Techniques such as transfer learning and multi-scale analysis are employed to enhance performance across various modalities.</li><li>Heatmap Generation: The system produces attention maps using Gradient-weighted Class Activation Mapping (Grad-CAM), highlighting regions of interest.</li><li>Triage Logic: Based on urgency criteria (e.g., likelihood of stroke or embolism), the system reorders the radiologist’s worklist to ensure that critical cases are seen first.</li><li>System Integration: Outputs are seamlessly integrated into PACS (Picture Archiving and Communication System) and RIS (Radiology Information System), facilitating interaction within existing hospital workflows. &nbsp;</li></ol><h3>Real-World Case Study</h3>At a tertiary-care trauma center in South Korea, Pixel for Radiology was deployed to assist with non-contrast head CTs in the emergency department. Within two months of implementation:<ul><li>Diagnostic reporting times for critical head injuries dropped from 25 minutes to 14 minutes</li><li>Sensitivity for detecting subtle intracranial hemorrhage improved from 89% to 96%</li><li>Radiology staff reported increased confidence during high-volume night shifts</li></ul><h3>Pros and Cons of Pixel for Radiology</h3><figure class="image"><img src="https://vmo-ho-web-global.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1754541802413-map.png"></figure><h3>How VMO Can Help</h3><a href="https://vmogroup.com/services/ai">VMO - An ALTEN company</a>, specializes in developing and deploying medical imaging AI solutions like Pixel for Radiology. We offer:<ul><li>Model customization and retraining with your data</li><li>PACS/RIS integration and hospital IT infrastructure compatibility</li><li>Clinical-grade data annotation and quality assurance</li><li>Regulatory compliance for HIPAA, GDPR, and PDPA</li></ul>If your hospital or imaging center is exploring AI to enhance diagnostic performance, VMO has the technical and clinical know-how to bring it to life. &nbsp;

Modern radiology departments are overwhelmed by imaging volumes that far outpace the number of available radiologists. In emergency settings or large hospitals, each radiologist might read hundreds of images per day, leading to fatigue, longer turnaround times, and a higher risk of diagnostic error. The demand for speed and accuracy in diagnosis is higher than ever.

From Backlog to Breakthrough:AI in Radiology That Saves Time and Lives

Modern radiology departments are overwhelmed by imaging volumes that far outpace the number of available radiologists.

from-backlog-to-breakthrough-ai-in-radiology-that-saves-time-and-lives

<h2>AI Meets Cancer Care: Pixel for Oncology in Action</h2>Enter&nbsp;Pixel for Oncology: a transformative AI solution that redefines how tumors are detected, measured, and monitored. From initial diagnosis to post-treatment follow-up, this technology empowers clinicians with accurate, repeatable, and explainable imaging insights at scale.At&nbsp;VMO – An ALTEN Company, we collaborate closely with healthcare innovators to bring such solutions to reality. Leveraging deep expertise in medical imaging, AI model development, and hospital systems integration, VMO helps healthcare providers deploy advanced technologies like Pixel for Oncology, tailored to their clinical needs, compliant with regulations, and scalable across departments.In this blog, we dive into the core of Pixel for Oncology: how it works, where it excels, and what it means for the future of cancer care.<h3>The Oncology Imaging Challenge</h3>Oncologists and radiologists must track tumors with extreme precision over multiple imaging sessions. This process is not only labor-intensive but also prone to variability; different clinicians may measure tumors slightly differently, leading to inconsistencies in treatment assessment.Additionally, manually applying evaluation frameworks such as RECIST (Response Evaluation Criteria in Solid Tumors) is time-consuming and error-prone.Pixel for Oncology brings AI automation into cancer imaging, offering precise, reproducible, and clinically useful insights across the entire cancer care continuum.<h3>What is Pixel for Oncology?</h3>Pixel for Oncology is an AI solution designed for tumor detection, segmentation, and treatment response monitoring. Built on&nbsp;3D Convolutional Neural Networks (3D-CNNs) and&nbsp;transformer-based architectures, it processes volumetric scans (CT, PET, MRI) to locate, measure, and compare lesions over time.The solution is tailored for cancers, including:<ul><li>Lung cancer</li><li>Breast cancer</li><li>Liver and colorectal cancer</li><li>Prostate cancer</li><li>Lymphomas and metastases</li></ul>It automates RECIST evaluations, longitudinal comparisons, and structured reporting, enhancing consistency and accelerating clinical workflows.<h3>Technical Workflow</h3><ol><li>Image Normalization: Input DICOM scans are standardized in terms of orientation, intensity values, and voxel spacing.</li><li>Tumor Segmentation: The AI uses deep learning models to detect and delineate tumor boundaries at voxel-level precision. Training includes thousands of expert-annotated cases.</li><li>Volumetric Measurement: Algorithms compute tumor volume, cross-sectional area, and changes over time, using 3D reconstruction.</li><li>RECIST Classification: Automatically categorizes response as Complete Response (CR), Partial Response (PR), Stable Disease (SD), or Progressive Disease (PD) based on lesion dynamics.</li><li>Structured Report Generation: Outputs consistent, machine-readable summaries that can be reviewed by oncologists, pathologists, or shared across multidisciplinary teams. &nbsp;</li></ol><h3>Real-World Case Study</h3>A cancer institute in Singapore piloted Pixel for Oncology for follow-up CTs in non-small cell lung cancer (NSCLC) patients. Within three months:<ul><li>Follow-up reporting time dropped from 18 minutes to 8 minutes</li><li>Inter-observer variability in lesion measurement reduced by 45%</li><li>Tumor board discussions were shortened by 30% due to standardized reports and AI-suggested trends</li></ul><h3>Pros and Cons of Pixel for Oncology</h3>Pros:<ul><li>High Precision: AI detects and measures tumors with greater consistency than manual approaches.</li><li>Improved Workflow: Structured, automated RECIST scoring reduces the cognitive burden on radiologists.</li><li>Better Monitoring: Enables consistent tracking across timepoints, reducing guesswork in longitudinal assessments.</li><li>Clinical Trial Ready: Standardized outputs make it ideal for research and drug trials.</li></ul>Cons:<ul><li>Edge Case Sensitivity: Post-treatment changes like scarring or implants may confuse the model without proper tuning.</li><li>Training Data Dependency: Accuracy is highest when local data and clinical practices match the training set.</li><li>Interpretability Gap: Oncologists must be trained to understand AI outputs, especially in complex edge cases.</li><li>Regulatory Pathways: Full CE/FDA approval may be required for clinical decision-making use in some regions.</li></ul><h3>How VMO Can Help</h3>VMO supports hospitals, cancer centers, and research institutes in:<ul><li>Developing oncology-specific AI tools tuned to your imaging protocols</li><li>Integrating with clinical systems like PACS, EMR, and tumor board software</li><li>Deploying AI via cloud or on-prem infrastructure with data protection</li><li>Supporting structured annotation and data pipeline development for clinical trials</li></ul>If you want to explore AI for tumor tracking and cancer care automation, we’d love to help.

Enter Pixel for Oncology: a transformative AI solution that redefines how tumors are detected, measured, and monitored. From initial diagnosis to post-treatment follow-up, this technology empowers clinicians with accurate, repeatable, and explainable imaging insights at scale.

AI Meets Cancer Care: Pixel for Oncology in Action

At VMO – An ALTEN Company, we collaborate closely with healthcare innovators to bring such solutions to reality.

ai-meets-cancer-care-pixel-for-oncology-in-action

VMO Impresses at Japan IT Week 2025&nbsp;On April 23–25, <a href="https://www.facebook.com/vmojp?__cft__[0]=AZUiY1ZVayj2tZOlbWio1anjNykONbKJI9Qnyyz2M-f_E1JfYIpH5GNtT-G4eOH8AmBTY1vYYyaEdE1CwfjT6W-NZksj5Cn2Nch6AGlPTp2fcwn1FVrX67D8otjQUYFF31ObSJOmiAE7zqlzGUAYm--l&amp;__tn__=-]K-R">VMO Japan</a> participated in Japan IT Week, one of Japan’s major tech events, with the goal of connecting and expanding international partnerships.At the event, VMO also showcased its AI capabilities with the theme “Drive the AI - Guide to Innovate.”VMO Japan introduced a custom-built chatbot similar to ChatGPT with a unique twist: it featured real-time voice and video interactions, with a live human - a VMO staff member - role-playing as the chatbot.

On April 23–25, VMO Japan participated in Japan IT Week, one of Japan’s major tech events, with the goal of connecting and expanding international partnerships.

At the event, VMO also showcased its AI capabilities with the theme “Drive the AI - Guide to Innovate.” 
VMO Japan introduced a custom-built chatbot similar to ChatGPT with a unique twist: it featured real-time voice and video interactions, with a live human - a VMO staff member - role-playing as the chatbot.

#VMOHoldings #VMOJapan #JapanITWeek

VMO Impresses at Japan IT Week 2025

On April 23–25, VMO Japan participated in Japan IT Week, one of Japan’s major tech events

vmo-impresses-at-japan-it-week-2025

WRAP-UP WORKSHOP: "THE JOURNEY TO WINNING CUSTOMER TRUST"On February 25th, VMO held an internal workshop "The Journey to Winning Customer Trust", where our experienced Sales &amp; PM teams shared valuable hands-on insights: ☑️ Mastering seamless collaboration in large-scale projects ☑️ Strengthening communication strategies and effective risk management ☑️ Gaining real-world experience and optimizing execution efficiency ☑️ Enhancing teamwork and fostering strong coordination among members The workshop equipped VMO team members with practical insights, enhancing their understanding of customer expectations and enabling them to deliver optimal results. At VMO, we believe in building strong connections within our organization to achieve the best results. These sharing sessions are a key part of our culture, helping us grow together and deliver excellence to our customers.

On February 25th, VMO held an internal workshop "The Journey to Winning Customer Trust", where our experienced Sales & PM teams shared valuable hands-on insights

WRAP-UP WORKSHOP: "THE JOURNEY TO WINNING CUSTOMER TRUST"

On February 25th, VMO held an internal workshop "The Journey to Winning Customer Trust"

wrap-up-workshop-the-journey-to-winning-customer-trust

𝐇𝐚𝐩𝐩𝐲 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐖𝐨𝐦𝐞𝐧’𝐬 𝐃𝐚𝐲!&nbsp; On this special day, VMO Holdings honors the incredible women who inspire, lead, and innovate in every field, especially in technology. Your dedication, creativity, and resilience drive progress and make the world a better place.&nbsp; To all the amazing women at VMO and beyond, thank you for your hard work and passion. May you always shine and achieve greater heights! Let’s take a look at the beautiful moments from our series of activities celebrating International Women’s Day with our gorgeous ladies! Everything comes together to create a truly memorable 8/3 celebration!

On this special day, VMO Holdings honors the incredible women who inspire, lead, and innovate in every field, especially in technology. Your dedication, creativity, and resilience drive progress and make the world a better place.

𝐇𝐚𝐩𝐩𝐲 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐖𝐨𝐦𝐞𝐧’𝐬 𝐃𝐚𝐲!

On this special day, VMO Holdings honors the incredible women who inspire, lead, and innovate in every field, especially in technology.

𝐇𝐀𝐏𝐏𝐘 𝐈𝐍𝐓𝐄𝐑𝐍𝐀𝐓𝐈𝐎𝐍𝐀𝐋 𝐖𝐎𝐌𝐄𝐍'𝐒 𝐃𝐀𝐘!

𝐇𝐚𝐩𝐩𝐲-𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥-𝐖𝐨𝐦𝐞𝐧’𝐬-𝐃𝐚𝐲

As AI continues to arise, beyond the familiar tools like ChatGPT, a new wave of multi-agent AI frameworks is emerging. These platforms LangGraph, CrewAI, and AutoGen are designed to create AI networks that collaborate, solve complex problems, and automate tasks efficiently.In this article, let’s explore what these 03 technologies are and which one best fits your needs.<h2 style="margin-left:2.4rem;">LangGraph - Building a flexibility AI Agents networks</h2><figure class="image image_resized" style="width:47.26%;"><img src="https://media.licdn.com/dms/image/v2/D5612AQH1DmXNT3ODXA/article-inline_image-shrink_1000_1488/B56ZWsYI13HEAQ-/0/1742353764192?e=1748476800&amp;v=beta&amp;t=NkL84XISbWLwFupmyEVbtZRPwiVdeCGG1omLwBssAiw" alt=""></figure>LangGraph enables you to build a networked multi-agent system where AI agents interact and collaborate to solve complex problems. Instead of functioning as standalone assistants, these AI agents form a structured workflow, making it easier to automate decision-making processes, research tasks, and customer interactions.✅ Best suited for: Developers, AI researchers, NLP Engineers, Businesses looking to automate processes🎯 Ideal for position such as: Research assistant, Finance analyst, Customer services automation.What is LangGraph's strength?<ul><li>Graph-based workflow modeling - Allows for structured AI interactions with defined logic</li><li>Easily integration with LangChain - Works with existing AI application frameworks</li><li>Support complex, sequential AI tasks - Enables AI-driven decision-making and automation</li></ul><h2 style="margin-left:2.4rem;">CrewAI - smart AI tool for teamwork</h2><figure class="image image_resized" style="width:49.74%;"><img src="https://media.licdn.com/dms/image/v2/D5612AQFClM-A7tdHNg/article-inline_image-shrink_1500_2232/B56ZWsZYCkHsAY-/0/1742354088639?e=1748476800&amp;v=beta&amp;t=BP01Wp5JJtnun6_AVm6QYDVga4SubgOiDM6ri_1IAdc" alt=""></figure>CrewAI allows the creation of an “AI-powered team where each agent takes on a different role. For example: AI-driven content creation, research, quality auditing - all in one in a project. CrewAI helps streamline project workflows by distributing tasks among multiple agents.✅ Best suited for: anyone who need AI assistance for in-depth research and execution.🎯 Ideal for roles such as: Marketing, sales, customer service, software development.What is CrewAI’s strength?<ul><li>Collaboration between AI agents with specialized roles – Mimics a human team working together.</li><li>Reduces time spent on task management and coordination – AI agents autonomously divide work and complete it efficiently.</li><li>Requires minimal programming knowledge – Simple setup for structured AI workflows.</li></ul><h2 style="margin-left:2.4rem;">AutoGen - AI with autonomous decision-making</h2><figure class="image image_resized" style="width:50.33%;"><img src="https://media.licdn.com/dms/image/v2/D5612AQFFUb3NQRNoeQ/article-inline_image-shrink_1000_1488/B56ZWsZp.NHsAU-/0/1742354162102?e=1748476800&amp;v=beta&amp;t=DI1OBM2zUzDF4n9zQQ8NfPkKyIvzH1oHA_kgX6FCbQE" alt=""></figure>AutoGen helps create an advanced AI system that has self-discuss, negotiates and solves tasks without humans interfering. Instead of requiring predefined task breakdowns, AutoGen’s AI agents will handle it by internal dialogue.✅ Best suited for:<ul><li>Users who want AI thinks independently &amp; finds solutions without requiring step-by-step instructions</li><li>Users who want AI autonomously collaborates &amp; optimizes workflows (e.g., AI-assisted coding, AI-generated reports, etc)</li></ul>🎯 Ideal for position such as: Data analysis, project planning, strategic decision-making.What is AutoGen’s strength?<ul><li>AI-to-AI communication – Agents interact and refine solutions through internal dialogues.</li><li>Optimizes research, planning, and complex problem-solving tasks – Reduces the need for manual oversight.</li><li>Easily integrates with current LLM models – Works with existing AI ecosystems.</li></ul><h2 style="margin-left:2.4rem;">Which Multi-Agent AI Platform should you choose?</h2>👉 Use LangGraph if you need a structured, graph-based AI system for workflow automation and AI-driven decision-making👉 Use CrewAI if you need a collaborative AI team to handle diverse tasks efficiently while keeping control over individual roles👉 Use AutoGen if you want an AI system that thinks, negotiates, and acts autonomously without step-by-step instructionsMulti-agent AI will be the next big thing in the AI wave in 2025. If you're looking to integrate AI into your workflows, start exploring these platforms today!Follow VMO’s newsletter to keep updated with the latest next-gen technology0

As AI continues to arise, beyond the familiar tools like ChatGPT, a new wave of multi-agent AI frameworks is emerging. These platforms LangGraph, CrewAI, and AutoGen are designed to create AI networks that collaborate, solve complex problems, and automate tasks efficiently. In this article, let’s explore what these 03 technologies are and which one best fits your needs.

Multi-Agent AI - Which Platform is Best for You?

Let’s explore what these 03 technologies are and which one best fits your needs

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