Weekly AI digest

• This week hands a radiology leader a clean two-way split in evidence maturity.
• Epsilon Health emerges from stealth with 27.6 million dollars

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• This week the monitoring layer itself came under the microscope.
• Vara: first CE mark for autonomous breast screening triage

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• This week's evidence cluster is operational AI, the tools that never reach your AI committee because nobody calls them clinical: a no-show model that decides which patients get outreach along a deprivation gradient, a camera system screening MR-unsafe wheelchairs, an LLM routing extraspinal findings to specialists.
• ROPCA Arthur ultrasound robot and Diana AI cleared by FDA

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• If chest radiography AI is live or planned in your department, schedule a local multi-reader check this month and score accuracy per finding type, not pooled.
• FDA opens comment period on generative AI-enabled devices

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• If mammography AI is live in your department, split recall monitoring by pathway this month.
• Medicare approves add-on payment for Aidoc CT body triage

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• Multimodal LLMs still fall short of clinical usefulness
• Dataset diversity beats dataset size in segmentation bias

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• Pathology foundation model learns from report dialogue
• Reproducibility splits two chatbots reading thyroid reports

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• Randomized trial lifts genetic accuracy in retinal disease
• Auditable chest X-ray foundation model built on concepts

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• Renal cancer dominates with four fusion models
• AI quantifies free air on CT

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• NeuroVFM learns from 5.24 million routine scans
• Ultrasound transformer beats senior sonographers on enema failure

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• Gadolinium-free liver MRI matches full contrast protocol
• Skeleton foundation model beats radiologists on bone metastases

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• Aidoc receives FDA Breakthrough Device Designation for AI-drafted radiology reports
• LLM-assisted structured reporting reaches near-human performance in prospective chest CT evaluation

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• An autonomous AI agent surpasses physicians in diagnostic accuracy
• FDA formalizes adaptive AI with a PCCP final order for imaging software

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• AI mammography flags breast cancer years before diagnosis
• Harrison.Rad 1.5 is the first foundation model to pass the FRCR 2B exam

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• Foundation models for CT and MRI reconstruction reach clinical maturity
• Four FDA 510(k) clearances land in one week

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• LLMs move into radiology report structuring
• Three FDA 510(k) clearances in one week

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• Deep learning beats experts on breast, spine, and cardiac imaging
• Three regulatory clearances and a new mammography model

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• Northwell real-world study: 97.8% AI and radiologist agreement on 32,000+ CTPA
• ISMRM 2026: GE submits Sonic DL 2D to FDA, Philips unveils Titanion 3T

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• Opportunistic imaging scales to NAKO cohorts of tens of thousands
• ACR and SIIM publish a joint AI practice parameter and Assess-AI registry

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• Deep learning turns routine mammograms into breast cancer risk scores
• Aidoc raises 150M USD; Abbott clears AI Ultreon 3.0 in the US and EU

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• REDMOD AI spots pancreatic cancer 475 days before diagnosis on routine CT
• The ACR Assess-AI registry sets national real-world AI surveillance

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• Deep learning detects colorectal cancer on routine non-contrast CT
• Philips clears the first spectral CT with AI reconstruction at the detector

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• LLMs move into clinical reporting: MIRA beats GPT-4o
• Philips clears Spectral CT Verida; Sectra buys Oxipit

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• Survey: accuracy and ads raise willingness to pay for AI mammography
• ACR tracks seven state bills on AI in prior authorization

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