Daniel Hägg and Emil Styrke

Image Processing
Imaging vendors have options for image processing hardware
When developing new imaging systems, OEMs can choose from many types of computer hardware platforms. Platform selection in turn affects the type of image processing to be used, which then influences the radiologist's work when viewing medical images. Software architects from advanced visualization developer ContextVision offer some guidance.
March 26, 2015
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Ultrasound
AI assistance improves CHD detection on prenatal ultrasound
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Baidu’s AI chatbot Ernie Bot outperformed OpenAI’s ChatGPT-4.0 on interventional radiology questions in Chinese.
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PET/CT imaging with gallium-68 pentixafor can effectively guide surgery for patients with primary aldosteronism, a common cause of hypertension.
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ACR/RBMA workforce survey: Radiologist recruiting remains a key concern
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Radiology influencers discuss how TikTok attracts interest in the field for medical students, which could in turn boost the radiology workforce.
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Use ChatGPT-4 to extract additional imaging recs in radiology reports
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Ultrafast and standard MRI in a 30-year-old woman with triple-negative invasive ductal carcinoma. (A) Ultrafast MRI taken 16.8 seconds after contrast agent injection. (B) Standard MRI taken 58.8 seconds after contrast agent injection. Both images show an oval-shaped, irregular marginated, rim-enhancing mass in the left outer breast. For 3D tumor segmentation, the entire enhanced tumor margins were drawn from top to bottom of each tumor in axial views of U2 phase postcontrast ultrafast MRI and the initial phase postcontrast standard MRI. Among the 14 ultrafast images, U1 is the first phase in which the signal intensity of the hotspot region of interest of the tumor is 10% higher than the average signal intensity of unenhanced images. U2 is the immediate next phase of U1 and the well-established tumor enhancement time.
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GPT-4 could prove useful proofreading CT reports
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Does obesity improve NSCLC patients' postsurgery survival?
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