Elad Walach and Dr. Carl Aschkenasi

AI
How AI will become an integral part of standard care
The current medical landscape for artificial intelligence (AI) allows for early adopters to embrace AI innovation with ease, yet it has left the majority of medical institutions struggling to catch up. Elad Walach and Dr. Carl Aschkenasi examine what needs to happen for AI to become an integral part of the standard of care.
January 16, 2019
2016 09 22 14 54 51 601 Computer Head 400
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Thumbnail 71 Year Old Patient With History Of Left Breast Invasive Lobular Carcinoma Mindul Thumbnail
Breast
ARRS: Breast RT doesn't impact presence of breast arterial calcifications
Cardiac Pet
Service
IMV: PET/CT service contracts are a key aspect of system ownership
In her ARRS 2025 presentation, Amy Patel, MD, discussed ways that radiologists can be proactive in influencing legislation that addresses breast density. These include working with elected officials and joining medical societies, among others.
Womens Imaging
ARRS: Get involved with breast health advocacy
Lung Illustration Blue
CT
ARRS: The state of lung imaging
At ARRS 2025, Dana Kong from Case Western Reserve University presented on breast cancer trends among women aged 40 years and younger. Among her team's findings, young women who had imaging prior to their cancer diagnosis had higher receptor status and underwent surgery more frequently than those with no prior imaging.
Womens Imaging
ARRS: Most women under 40 have no imaging before breast cancer diagnosis
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ARRS: Breast RT doesn't impact presence of breast arterial calcifications
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Thumbnail 71 Year Old Patient With History Of Left Breast Invasive Lobular Carcinoma Mindul Thumbnail
IMV: PET/CT service contracts are a key aspect of system ownership
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At ARRS 2025, Amy Patel, MD, discussed the need for advocacy to drive legislation on insurance coverage for women with dense breasts.
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In her ARRS 2025 presentation, Amy Patel, MD, discussed ways that radiologists can be proactive in influencing legislation that addresses breast density. These include working with elected officials and joining medical societies, among others.
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There are a number of options for lung nodule imaging, and which to use depends on the patient.
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ARRS: Most women under 40 have no imaging before breast cancer diagnosis
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Most young women who are diagnosed with breast cancer had no prior imaging performed.
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Managing high-risk breast lesions with no consensus can be tricky, but breast radiologists can navigate this area.
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Amie Lee, MD, presented at ARRS 2025 on managing 'controversial' high-risk breast lesions diagnosed on core needle biopsy. This slide outlines how to manage pleomorphic lobular carcinoma in situ (LCIS) via surgical excision.
Preop MRI fails to deliver results for breast cancer subtype
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Images show a palpable mass in the left breast in a 55-year-old woman. (A) Mammography shows a 26-mm ill-defined mass with fine linear calcifications in the central portion of the left breast (arrows). (B) ultrasound shows a 23-mm hypoechoic mass with calcifications in the corresponding area accompanying palpability (between the arrows). (C) An axial, fat-saturated, contrast-enhanced T1-weighted MRI scan shows an 18-mm irregular heterogeneous enhancing mass in the left breast (arrows). After breast-conserving surgery, the final pathologic report confirmed a grade II estrogen receptor–negative, progesterone receptor–negative, human epidermal growth factor receptor 2–positive invasive ductal carcinoma. There was no lymphovascular invasion, and the resection margins were clear. The patient declined both adjuvant chemotherapy and radiation therapy due to psychologic distress. (D) 11 months later, surveillance ultrasound helped to detect a new 25-mm irregular hypoechoic mass at the 12-o’clock position in the left breast (arrows). A subsequent ultrasound-guided biopsy confirmed it as a recurrence of grade II invasive ductal carcinoma, maintaining the same receptor statuses. Images courtesy of the RSNA.
DL model can aid in diagnosing myocardial ischemia
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Representative images from diagnostic analysis of deep learning (DL)-based CT myocardial perfusion imaging (MPI). (A-D) Representative images in a 51-year-old woman with stable angina at presentation. (A) Curved planar reformation and (B) three-dimensional maximum intensity projection images show severe stenosis of the opening left anterior descending artery (arrow). (C) Fractional flow reserve (FFR) determined with invasive coronary angiography helps confirm that there was no hemodynamic significance of the opening left anterior descending artery lesion (arrow). (D) Dynamic CT MPI provided functional information to identify hemodynamically significant stenosis with reference to invasive FFR. Myocardial blood flow (MBF) derived from DL-based CT MPI revealed the absence of decreased myocardial perfusion of the left anterior descending artery territory (the areas outlined in black represent the myocardium subtended by the left anterior descending stenosis, and the color bar is a graphical scale that maps MBF ranges). (E-H) Representative images in a 62-year-old man with exertional chest pain at presentation. (E) Curved planar reformation and (F) three-dimensional maximum intensity projection images show moderate stenosis of the middle left anterior descending artery (arrow). (G) FFR determined at invasive coronary angiography helps confirm that the middle left anterior descending lesion was hemodynamically significant (arrow). (H) Dynamic CT MPI provided functional information to identify hemodynamically significant stenosis with reference to invasive FFR. DL-based CT MPI showed a reduction in MBF within the middle and basal anterior wall of the left anterior descending artery territory (the areas outlined in black represent the myocardium with decreased perfusion, and the color bar is a graphical scale that maps MBF ranges). MBFDL = MBF derived from the DL model.
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