Dr. Gia Deangelis

Industry News
Haiti after the earthquake: A radiologist's story
Dr. Gia Deangelis is a University of Virginia radiologist who was supposed to be in Port-au-Prince the day the quake struck. She is now working in a rural clinic in Grison-Garde, north of the decimated capital of Port-au-Prince. Here are her observations.
January 21, 2010
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AI boosts detection of major congenital heart defects (CHDs) on prenatal ultrasound, suggest findings presented at the Annual Pregnancy Meeting of the SMFM.
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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 guides surgery for primary aldosteronism
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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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Recruiting remains a key concern among both academic and hospital radiology practices, as 67% of radiologists report that their practices are understaffed, researchers have found.
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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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ChatGPT-4 is an effective way to extract recommendations for additional imaging in radiology reports, according to a study published January 29.
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Ultrafast MRI exam bests standard MRI for classifying breast cancers
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An ultrafast MRI-based radiomics exam performs just as well as standard MRI and isn’t dependent on radiologist experience.
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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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GPT-4 showed strong performance identifying factual errors in radiology reports, yet struggled to prioritize clinically significant findings.
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Does obesity improve NSCLC patients' postsurgery survival?
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Obesity appears to improve the overall post-surgery survival of patients with non-small cell lung cancer (NSCLC) by 21% compared with their nonobese peers.
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