Medical Imaging Technology

The Medical Imaging Technology category highlights the latest advancements and innovations in medical imaging. This section covers topics such as the development of new imaging techniques, improvements in diagnostic accuracy, and the integration of technologies like artificial intelligence and cloud-based solutions. Articles explore how these innovations are transforming the way healthcare professionals capture, analyze, and utilize imaging data to improve patient care and streamline medical workflows.

125 posts

Hospital Information System (HIS): Why It Is the Centre of Every PACS Workflow Every radiology order that reaches your PACS starts in your Hospital Information System. Every patient identity mismatch that breaks your PACS workflow traces back to a data problem in your HIS. Understanding HIS is not optional knowledge for imaging informatics... By Andrei Blaj Mar 3, 2026

mammography pacs for early breast cancer detection

Mammography Workflow for Women Under 50: What 11-Year Clinical Data Means for PACS and Diagnostic Imaging The landscape of breast cancer detection is shifting. While much of the public health focus remains on women over 50, recent data suggests that younger women represent a substantial and consistently high-risk portion of the patient population. For MedTech providers... By Andrei Blaj Jan 23, 2026

Why Imaging Infrastructure Matters for AI Generalization in Radiology Artificial intelligence has shown impressive results in radiology research settings. From mammography to CT and MRI, AI models often achieve high accuracy when evaluated on curated datasets. Yet once deployed in real clinical environments, many of these same models struggle... By Mircea Popa Jan 21, 2026

Does AI Really Deliver Economic Value in Radiology? What the Evidence Says Economic value from radiology AI is not guaranteed. A January 2026 systematic review found that only 21 studies out of 1,879 screened records (about 1%) actually quantified economic outcomes, and the results depended on task complexity, examination volume, and the... By Mircea Popa Jan 5, 2026

DICOM Interoperability Failures (And How Hospitals Fix Them) Why images still fail to open across systems — and how modern cloud PACS like Medicai solve the DICOM interoperability failures. Healthcare assumes medical imaging should be universally compatible, aka interoperability. A CT scan produced in one hospital should load... By Mircea Popa Nov 15, 2025

What Is a Dangerous PSA Level? Understanding When High PSA Should Lead to MRI Most men think of PSA (prostate-specific antigen) as a simple blood test that screens for prostate cancer. But a rising PSA level rarely tells the full story on its own. A high PSA does not always equal cancer, and a... By Andrei Blaj Nov 9, 2025

Radiography vs Radiology: Understanding the Difference in Modern Medical Imaging Medical imaging is changing faster than ever — from AI-powered diagnosis to global teleradiology collaboration. But at the foundation of every imaging scan and report are two critical healthcare professionals: radiographers and radiologists. Although their work overlaps, radiography and radiology... By Andrei Blaj Nov 6, 2025

Agentic Document Processing: The Future of Intelligent Healthcare Workflows For years, healthcare automation relied on rules—if-then systems that could only handle predictable inputs. If a referral form matched a known template, it was processed; if not, it was flagged for human review. But the reality of healthcare data is... By Andrei Blaj Oct 29, 2025

How AI Document Extraction Accelerates Clinical Workflows Healthcare runs on documents — referrals, reports, authorizations, discharge summaries, and imaging requests. Each plays a critical role in diagnosis and care coordination, yet most are still processed manually.This administrative bottleneck delays treatment, increases clinician burnout, and slows down operational... By Andrei Blaj Oct 28, 2025

AI Data Extraction: Unlocking Hidden Value in Radiology Documents Radiology workflows are full of valuable information — yet much of it remains trapped inside scanned documents, PDFs, and unstructured reports. Radiologists, technicians, and administrators spend countless hours manually entering patient data, linking imaging results, and ensuring metadata consistency. Artificial... By Andrei Blaj Oct 27, 2025

How AI Document Processing Is Transforming Healthcare Administration Healthcare has always been a data-rich industry — but much of that data still lives in silos, trapped in faxes, scanned PDFs, and unstructured reports. Every day, hospitals and clinics juggle thousands of forms: patient consents, referrals, imaging requests, insurance... By Andrei Blaj Oct 20, 2025

HIPAA & GDPR Guide to Secure Medical Image Sharing In a world where data moves fast, security in healthcare must move faster, protecting every medical image, every time, everywhere. To share medical images for second opinions, healthcare providers must adhere to HIPAA and GDPR rules. It includes encrypting files,... By Andrei Blaj Oct 18, 2025