Molecularly Targeted Radiation Agent Facilitates Bone Marrow Transplant in Acute Myeloid Leukemia
SNMMI
The research, which garnered “Abstract of the Year” honors at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) conference in Chicago, demonstrates the potential of the targeted agent to significantly improve survival rates in AML.
SNMMI
In a lecture at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) conference, Matthew F. Covington, M.D., discussed key findings from recent studies that emphasize the possible prognostic role of positron emission tomography (PET) in de-escalating treatment for breast cancer.
New Study Shows Viability of Adjunctive AI for Breast Ultrasound
SBI
Adjunctive use of an artificial intelligence (AI) software demonstrated nearly equivalent sensitivity and over 28 percent higher accuracy in comparison to radiologist assessment of breast ultrasound images for breast lesions, according to new research presented at the recent Society of Breast Imaging (SBI) conference.
Spine Radiology Insights on Venous Fistula Localization and Finding Cerebrospinal Fluid Leaks
ARRS
In a recent lecture at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting, Andrew Callen, M.D., discussed a variety of imaging features associated with cerebrospinal fluid (CSF) leaks, the diagnostic utility of the Bern score as well as the merits of 3D T2FS MRI and dynamic computed tomography myelography.
Breast Reconstruction: Current Principles and Emerging Concepts in Imaging
ARRS
Given the increasing prevalence of breast reconstruction, researchers discussed key signs of common complications on magnetic resonance imaging (MRI), ultrasound and other imaging during a recent presentation at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.
Award-Winning Study Shows Benefits of 3D MRI for Assessing the Fetal Optic Pathway
ARRS
Three-dimensional (3D) slice-to-volume (SVR) fetal magnetic resonance imaging (MRI) has over six times the fetal optic pathway visualization rate of standard two-dimensional MRI, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.
Study: Emerging AI Platform for DBT Shows 23 Percent Increase in Breast Cancer Detection Rate
ECR
In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.
Current Insights on Multimedia Radiology Reports
February 8th 2023RSNA
In a video interview at the recent Radiological Society of North America (RSNA) conference, Wayne Dell, M.D., discussed retrospective research that examined the use of hyperlinked multimedia radiology reports across modality and subspecialty five years after initial implementation of the technology at the University of Virginia.
Assessing the Value Proposition of AI in Radiology
RSNA
In the second part of a recent interview, Nina Kottler, M.D., M.S., discussed keys to evaluating the potential value of artificial intelligence (AI) systems and emerging developments with AI that were discussed at the recent Radiological Society of North America (RSNA) conference.
What a New Study Reveals About Breast Density Awareness
January 6th 2023RSNA
In a recent interview from the Radiological Society of North America (RSNA) conference, Mary Yamashita, M.D. discussed a variety of findings from a survey of over 8,000 women about breast density awareness, challenges with current breast density notification after mammography exams, and the ongoing need to educate patients as well as referring providers on breast density awareness.
Recognizing and Addressing Biases with AI and Radiologists
RSNA
In a video interview discussing one of her recent lectures at the Radiological Society for North America (RSNA) conference, Nina Kottler, M.D., M.S., noted how the combination of artificial intelligence (AI) and radiologist experience can help mitigate bias limitations with the development of AI algorithms as well as educational biases inherent to a radiologist’s training and experience.
Maximizing Cloud-Based Capabilities in Radiology
December 13th 2022RSNA
In a recent interview at the Radiological Society of North America (RSNA) conference, Eliot Siegel, M.D., discussed a variety of potential benefits with cloud-based image management in radiology, ranging from enhanced data security and economies of scale to improved access to a variety of artificial intelligence (AI) solutions to increase efficiency.
Emerging Insights on Improving Radiology Workflows
RSNA
In a recent video interview from the Radiological Society of North America (RSNA) conference, Tessa Cook, MD, PhD discussed new research on automated de-identification in radiology reports and the potential of artificial intelligence (AI) and natural language processing (NLP) to help address time-consuming challenges in the radiology workflow.