Radiology Podcasts | RSNA: Implementation of Clinical AI in Radiology
Dr. Manisha Bahl discusses the issues surrounding implementation of clinical artificial intelligence in radiology with Dr. Dania Daye and Dr. Curtis Langlotz.
Dr. Manisha Bahl discusses the issues surrounding implementation of clinical artificial intelligence in radiology with Dr. Dania Daye and Dr. Curtis Langlotz.
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep learning (DL) methods have provided accelerated high-quality image reconstructions from undersampled…
IntroductionSoon after Roentgen’s discovery of the x-ray (radiography) in 1895, chest fluoroscopy and chest radiography became established clinical procedures. The standard radiograph remained the mainstay…
Background To the knowledge of the authors, no strong evidence supports surveillance imaging in patients with head and neck cancer (HNC). Purpose To investigate the…
Supplemental material is available for this article.
Gallium 68 (68Ga)–labeled fibroblast activation protein (FAP) inhibitor (FAPI) PET is based on the molecular targeting of the FAP, which is known to be highly…
Background Breast cancer tumors can be identified as different luminal molecular subtypes depending on either immunohistochemical (IHC) staining or St Gallen criteria that includes Ki-67.…
Supplemental material is available for this article.An 18-year-old man presented with hypertension of 160/100 mm Hg for 5 years, without abnormal serum laboratory findings. Aortic…
Live recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani
Online supplemental material is available for this article.
MRI plays an important role as a secondary test or problem-solving modality in the evaluation of adnexal lesions depicted at US. MRI has increased specificity…