Imaging Informatics: Page 16

AI-powered ultrasound tool aids novices in obstetric imaging
By Amerigo Allegretto
An AI-powered tool can help novice sonographers achieve as high an accuracy as expert sonographers in measuring fetal gestational age.
August 2, 2024
Fetal Ultrasound 400
Proposed rule adds imaging requirements for EHR certification
By Liz Carey
The U.S. Department of Health and Human Services hopes program requirements will encourage adoption of electronic transactions and reduce physical media exchange.
August 2, 2024
Quality Check Mark
AI education is a necessity for newest class of radiologists
By Morris Panner
Intelerad President Morris Panner emphasizes the importance of education on radiology AI technology for new radiologists.
August 2, 2024
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Mummified woman appears to have died in pain 3,500 years ago
By Kate Madden Yee
Egyptian researchers have used CT imaging to "virtually dissect" a mummified woman who died 3,500 years ago.
August 2, 2024
Sahar Saleem, MD, of Kasr Al Ainy Hospital of Cairo University.
ChatGPT makes echo reports readable for patients
By Amerigo Allegretto
ChatGPT may be on its way toward explaining echocardiography results to patients.
July 31, 2024
Heart Scan 400
AI in radiology receives more positive coverage in U.S. news media
By Amerigo Allegretto
AI’s impact on radiology is “mostly” covered in a positive light in U.S. news media, though radiologists may not be included in such coverage.
July 29, 2024
Ai Woman
CXR-Age algorithm validated in large cohort of Asian individuals
By Will Morton
Researchers in Korea have validated a deep-learning AI model (CXR-Age) that estimates biological age from chest x-rays.
July 26, 2024
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AdvaMed urges faster reimbursement pathway for AI-enabled medtech
By AuntMinnie.com staff writers
Reimbursement policies should keep pace rather than come years after FDA authorization, according to AdvaMed.
July 26, 2024
Capitol Hill Government Social
Podcast: Moving from a role in academic medicine to leading a company
By Liz Carey
Katherine High, MD, joins Saurabh (Harry) Jha, MD, and Mitchell Schnall, MD, for this episode of the "Keeping Up With the Radiologists" podcast series.
July 26, 2024
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How imaging AI developers can avoid pitfalls when testing algorithms
By Amerigo Allegretto
AI developers can recognize and avoid pitfalls when creating models and tools for interpretative imaging performance.
July 25, 2024
CT images from a 24-year-old woman with history of ventriculopleural shunt placement who presented with chest pain show two small linear hyperattenuating structures (A, arrows), with larger hyperattenuating structure oriented parallel and very close to the rib. The AI algorithm interpreted the finding as a rib fracture. (B) An additional axial image from same exam indicates that the finding relates to the patient’s ventriculopleural shunt (arrow), passing alongside the rib. The radiologist made a correct interpretation upon assessment of the entire exam. Image courtesy of the ARRS.
GPT-4 can assist in management of glioblastoma patients
By Liz Carey
Research suggests GPT-4 could streamline longitudinal assessment process by providing a comprehensive overview of prior imaging.
July 23, 2024
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Mammo AI falls short to ultrasound in screening dense breasts
By Amerigo Allegretto
Mammography plus ultrasound yields better results than AI-enhanced mammography alone when it comes to screening of women with dense breasts.
July 23, 2024
Imaging in a 56-year-old woman with heterogeneously dense breasts (BIRADS C). (A) Left craniocaudal (left) and mediolateral oblique (right) digital mammograms show no abnormality. (B) Left craniocaudal (LCC, top) and left mediolateral oblique (LMLO, bottom) mammograms with retrospectively applied AI (Lunit Insight MMG, version 1.1.7.1; Lunit) show the lesion was given abnormality scores of 97% and 71%, respectively. The color bar indicates pixel-level abnormality scores corresponding to heatmap contour lines. Breast ultrasound performed the same day was considered negative (not shown). (C) Left craniocaudal (left) and mediolateral oblique (right) digital mammograms acquired nine months later show an irregular mass (arrows) in the left breast, which correlates with the heatmap areas scored as 97% and 71% by AI in the earlier screening mammogram (B). The radiopaque round marker denotes the site of the palpable abnormality indicated by the patient. (D) Transverse ultrasound imaging shows an irregular mass (arrow) in the left breast. The patient was treated with breast-conserving surgery, and the mass was proven to be invasive lobular carcinoma. Image courtesy of the RSNA.
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