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October 16, 2026
AI Nodule Software Lifts New Patient Volume 69% at Three US Lung Clinics
After Optellum's Virtual Nodule Clinic went live, monthly new patients rose from 11.0 to 18.6 and invasive procedures from 4.9 to 8.0, though cancer counts and diagnosis times didn't change significantly.
+2 more
October 16, 2026
Sequential CAD Reading Cuts TB Screening Reader Workload by 67.5% in Ho Chi Minh City
Lunit INSIGHT CXR used sequentially cut human reading workload by 67.5% and number needed to test by 29.9%, with sensitivity matching human-only reading and specificity up to 90.3%.
+2 more
October 16, 2026
Automated Nodule Triage to a Virtual Clinic Could Cut Costs Versus Standard CT Care
Modeling suggests pairing non-specialist CT reporting with automated nodule assessment to route scans to a virtual nodule clinic is feasible and cost-saving, pending prospective validation.
+2 more
October 16, 2026
CT-Based FFR Modeling Offers a Non-Invasive Alternative to Costly Invasive Coronary Testing
A Frontiers in Physiology study proposes and validates a CT-based tool to predict FFR in left coronary arteries, targeting the cost and clinical burden of invasive assessment.
+2 more
October 16, 2026
Coronary plaque burden and CT-FFR predict 5-year mortality in PAD patients without known CAD
Coronary plaque burden and HeartFlow FFRCT Analysis predicted 5-year mortality in peripheral artery disease patients with no known coronary artery disease, per a vascular surgery journal.
+2 more
October 16, 2026
BoneXpert beats single radiologists on bone age accuracy, with fewer major errors
Radiologist bone age readings vary most in younger children and boys; BoneXpert showed lower error than individual readers and fewer substantial deviations (0.7% vs 3.4%).
+2 more
October 12, 2026
Blackford finds a new home: Sopris Capital acquires the imaging AI platform from Bayer
US investment firm Sopris Capital has acquired Blackford Analysis from Bayer. Blackford, founded in Edinburgh in 2010, runs one of the best-known vendor-neutral AI platforms in radiology, giving...
October 12, 2026
AI Echocardiography in the ED: How Well Does Us2.ai Match Expert Review?
A multicentre Australian study tests Us2.ai's echocardiographic interpretation against expert ED sonologists, revealing agreement rates, yield gaps, and scope limits relevant to clinical deployment.
+2 more
October 12, 2026
AI Boosts Junior Radiologists' Sensitivity in Chest X-Ray Reporting
Lunit INSIGHT CXR raises detection sensitivity for less-experienced radiologists reading chest X-rays, though radiology directors should note a trade-off in specificity.
+2 more
October 8, 2026
AI Echo Measurements Match Expert Readers in Monitoring ATTR Cardiomyopathy
Us2.ai's automated echocardiography shows repeatability comparable to experienced cardiologists in ATTR-CM, though expert oversight remains essential for advanced disease monitoring.
+2 more
October 8, 2026
AI Outperforms Routine Radiology in Thoracic Lymph Node Detection for Lung Cancer
AI detected far more pathologically sampled lymph node stations than routine radiology reports, signalling a major efficiency gain for systematic nodal assessment in lung cancer CT workups.
+2 more
October 8, 2026
AI Detection vs. Risk Models in Mammography Screening: How Does Transpara Perform?
New research in Radiology: Imaging Cancer compares Transpara AI detection against short-term breast cancer risk models, both within and beyond intended screening use.
+2 more