Dario Arfelli leads global marketing for Imaging Informatics at Philips, where cloud imaging is being framed less as an infrastructure shift and more as an operational correction. In conversations with clients and prospects, the…
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Clarity matters in healthcare operations. When imaging teams understand how long exams actually take and radiologists see what they need to see the first time, access improves almost immediately. GE Healthcare is focusing on…
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Deploying AI to support UAE radiologists | Healthcare IT News
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Vascular invasion assessment is critical for surgical planning in pancreatic ductal adenocarcinoma (PDAC). Current CT-based assessments often rely on radiologists’ subjective 2D interpretations, which may not capture the continuous, three-dimensional tumor–vessel interactions and multiple…
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Preoperative differentiation of preinvasive lesions, minimally invasive adenocarcinomas, and invasive adenocarcinomas within pure ground-glass nodules (pGGNs) is challenging. Herein, this study investigated the potential of vision-language models to assist radiologists in noninvasively predicting pGGN…
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What You Should Know:
– Philips today announced the launch of Philips Image Management 15, the next generation of Vue PACS, featuring a zero-footprint, web diagnostic viewer that delivers the full clinical power of a…
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Radiolucent foreign body aspiration (FBA) remains diagnostically challenging due to its subtle imaging signatures on chest CT scans, often leading to delayed or missed diagnoses. We present a deep learning model integrating MedpSeg, a…
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Image Credit: SimonMed
What You Should Know:
– SimonMed Imaging, one of the largest outpatient medical imaging providers and radiology practices in the United States, today announced the launch of Ultrasound+, an AI-enabled ultrasound program.
– The…
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Dr Indrajeet Das, consultant radiologist at University Hospitals of Leicester NHS Trust (Credit: UHL)
University Hospitals of Leicester NHS Trust is evaluating the safety and effectiveness of using AI software across different patient groups.
Specialist…
Pancreatic cystic neoplasms (PCN) are critical precursors for early pancreatic cancer detection, yet current diagnostic methods lack accuracy and consistency. This multicenter study developed and validated an artificial intelligence (AI)-powered CT model (PCN-AI) for…
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