Sid Dogra
@siddogramd
R3 @NYURadRes. Associate Editor #RadInTraining @Radiology_RSNA.
ID: 3280186104
https://scholar.google.com/citations?user=rNxBcskAAAAJ&hl=en&oi=ao 15-07-2015 03:44:56
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As screening breast ultrasounds increase, when should we raise concerns about nonmass lesions? In this new Radiology study, the authors identify key US features of NMLs that suggest malignancy: pubs.rsna.org/doi/10.1148/ra… Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor Linda Moy #RadInTraining
Hear what Farzaneh Rahmani @SidDograMD Bahram Mohajer rad_iogramx Cristina Marrocchio @Misikbay Enis C. Yilmaz, MD @aakanksha_s1986 Farhad Pishgar Sedi Shabanan Delaram Shakoor Vitali Koch Arsalan have to say about #RadInTraining &reviewing for Radiology
140 Findings. The most comprehensive detection for abdomen-pelvis CTs. This is what it means to go from A to Z. a2z Radiology AI
🚨 AI in Radiology Alert! 🚨 How much can AI help radiologists reduce reporting time while maintaining accuracy? Harvard Medical School & collaborators present a pilot study on AI-assisted radiology workflows using AI-generated draft reports! Authors: Julián Nicolás Acosta, Sid Dogra,
Incredibly proud to share a2z Radiology AI's first research paper evaluating a2z-1. Our AI model detects 21 conditions in abdomen-pelvis CTs with an AUC of 0.931. This represents the most comprehensive external validation of a multi-disease detection AI in abdominal imaging to
This was a ton of fun! Thanks to Dr. Yosra Mekki, MD npj Digital Medicine and Pranav Rajpurkar for the opportunity!
It’s back!🥳 The ASNR/ASFNR AI Workshop!🤖 docs.google.com/forms/d/e/1FAI… Jumpstart your neuroradiology AI research at #ASNR25 (Philadelphia, Pennsylvania) AND #ASFNR25 (Austin, Texas)!🤠 Deadline March 21!😅 American Society of Functional Neuroradiology🤝The American Society of Neuroradiology
Strongly recommend the The American Society of Neuroradiology / American Society of Functional Neuroradiology AI workshop - great intro to fundamental AI principles, but more importantly a great opportunity to learn from some fantastic people!
Straight-out-of-the-box #LLMs still struggle with radiology text classification. Check out how Rajesh Bhayana and colleagues used a hybrid LLM approach for O-RADS score calculation from MRI reports! shorturl.at/J2Xq6 #RadInTraining Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor Radiology
