Erik L. Ridley[email protected]HomeWeek in Review: COVID-19's manifestations | AI and medical students | Intimate partner violenceJuly 10, 2020Clinical NewsPandemic sharply impacted imaging volume, operationsThe COVID-19 pandemic drastically impacted imaging volume for radiology practices throughout the country and necessitated a variety of challenging operational adjustments. And some of these changes may be long-lasting, according to research published online July 9 in the Journal of the American College of Radiology.July 9, 2020AIAre U.S. medical students avoiding radiology due to AI?If results from a survey of medical students in the U.S. are any indication, the misperception that artificial intelligence (AI) will replace radiologists poses by far a bigger threat to the specialty than the technology itself, according to research published online June 27 in Current Problems in Diagnostic Radiology.July 8, 2020Digital X-RayCOVID-19 patients face higher risk of barotraumaPatients with COVID-19 who require invasive mechanical ventilation are more likely to experience barotrauma such as pneumothorax and pneumomediastinum than those without the disease, according to research published online July 2 in Radiology. And younger patients with COVID-19 were particularly at risk for these serious events.July 6, 2020CTCan radiomics improve CT lung cancer screening?Two radiomics features on low-dose CT (LDCT) exams in lung cancer screening can be used to identify early-stage lung cancer patients who may be at higher risk for poor survival outcomes, potentially enabling earlier interventions, according to research published online June 29 in Scientific Reports.July 6, 2020AIACR, RSNA call on FDA to hold off on autonomous AIAutonomous artificial intelligence (AI) algorithms aren't close to being safe enough to replace radiologists, and the U.S. Food and Drug Administration (FDA) should hold off for now on developing regulatory pathways for autonomous AI in radiology, according to the American College of Radiology (ACR) and the RSNA.June 30, 2020CTAI algorithm can help in incidental detection of PEAn artificial intelligence (AI) algorithm can highlight incidental cases of pulmonary embolism (PE) on contrast-enhanced chest CT exams that were performed for reasons other than to detect PE, according to a presentation at the recent online annual conference of the Society for Imaging Informatics in Medicine.June 29, 2020Advanced VisualizationSIIM 2020: The future is now for 3D imagingThe future is now for 3D imaging technologies such as cinematic rendering, 3D printing, simulation training, virtual reality, and augmented reality, according to a June 26 presentation at the virtual annual meeting of the Society for Imaging Informatics in Medicine (SIIM).June 25, 2020AISIIM 2020: Human element shouldn't be neglected with AISure, artificial intelligence (AI) in radiology is cool. But it's not enough to show results in a lab; the technology's real-world impact on efficacy and efficiency also needs to be evaluated, according to a June 25 talk at the virtual annual meeting of the Society for Imaging Informatics in Medicine (SIIM).June 24, 2020AISIIM 2020: How to create robust radiology AI algorithmsIt's not easy to develop radiology artificial intelligence (AI) algorithms that don't just perform well on data that are similar to what they are trained on. But there are ways to help improve AI robustness, according to June 24 talks at the virtual annual meeting of the Society for Imaging Informatics in Medicine (SIIM).June 24, 2020Previous PagePage 61 of 393Next PageTop StoriesNuclear MedicineEANM: Is ‘research fragmentation’ holding back nuclear medicine?Well-designed studies require collaboration among nuclear medicine, medical oncology, urology, radiation oncology, and clinical trial support.CTPCCT improves image quality when scanning patients with obesityWomens ImagingKaiser score outperforms MRI BI-RADS for inconclusive breast findingsMolecular ImagingFAPI-PET detects more HCC lesions than FDG-PETSponsor ContentFree Radiology Workflow Webinar
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