Thought Leadership

Artificial intelligence in radiology has reached a turning point. Healthcare executives and informatics leaders are no longer asking if AI can analyze imaging data, they are asking how to measure its return on investment (ROI). With hundreds of FDA-cleared algorithms on the market, health systems often find themselves facing "AI fatigue." Purchasing individual licenses for disparate point solutions creates complex vendor management challenges, high software maintenance costs,

The promise of artificial intelligence in medical imaging is no longer a matter of future speculation; it is a present-day reality. From automated triage of acute cases to automated organ segmentation, AI algorithms offer unprecedented opportunities to accelerate care. Yet, for many radiology leaders and clinical informatics teams, a significant disconnect remains between purchasing AI capabilities and realizing their full clinical utility in daily operations. Algorithms that

In acute and high-volume clinical settings, minutes matter. Whether evaluating a suspected Large Vessel Occlusion (LVO), scoring Coronary Artery Calcium (CAC), or identifying subtle pulmonary nodules, clinical teams need reliable diagnostic data delivered with zero friction. Yet, many health systems encounter what industry leaders call the AI execution gap: the disconnect between an algorithm generating an output and that output being utilized in a clinical pathway. Bridging

In the push to modernize diagnostic imaging, health systems aren’t facing a shortage of artificial intelligence algorithms; they’re facing an integration crisis. Over the last decade, hundreds of specialized AI algorithms have entered the market, promising everything from faster stroke triage to automated cardiac scoring. Yet, for many enterprise radiology and imaging departments, bringing these tools into daily clinical practice has proven complex, fragmented, and cost-prohi

If you are trying to decide whether your radiology department should perform 3D post-processing of MR and CT scans in house or contract out the work, here are a few points to consider. Focus on Running Your Imaging Center Staff burnout is a reality in radiology departments nationwide as most teams are being asked to scan more cases faster. Outsourcing your center’s post-processing work would remove some of that burden, allowing your staff to focus their time and energy on pa

Explore how 3DR Labs’ quality assurance (QA) program and its radiologic technologists (RTs) evaluate their cases against up to 400 quality metrics to ensure they provide consistently excellent results. Establishing QA Metrics 3DR Labs’ quality metrics were developed by its Chief Medical Officer Dr. Robert Falk in partnership with its QA team. Together, they identified all the different scenarios that could occur when reviewing the image series in their protocols. They discuss

Learn how 3DR Labs ensures that it has the most skillful staff performing 3D medical image post-processing for its customers. 3DR Labs has 300+ American Registry of Radiologic Technologists (ARRT®)* certified RTs 3D post-processing CT and MRI scans for 1,000s of hospitals and imaging centers across the U.S. Its RTs process 60,000+ cases per month, some high-volume, routine cases and others that are relatively rare. It’s a busy, challenging, and rewarding job. All 3DR Labs’ RT