34th Annual Meeting of the Society of Radiologists in Ultrasound

Sep 27th, 2024Sep 29th, 2024

Hyatt Regency Seattle 808 Howell St Seattle, WA 98101 United States

Seattle, Washington

https://sru.edusymp.com/product/details/15

Phone:(813) 806-1000

This activity is structured to address a wide range of topics common to most ultrasound practices. It focuses on advanced techniques and applications used in general, GI/GU, OB/GYN, vascular, and interventional procedures.

Road to RSNA 2026: AI Preview

November 11, 2026

Deep learning on chest x-rays matches PREVENT score for cardiac risk

November 11, 2026

Free Webinar: Agentic AI in Radiology

Free Webinar: Agentic AI in Radiology

October 29, 2026

AI triage algorithms yield varied results in real-world use

November 11, 2026

Road to RSNA 2026: AI Preview

By Erik L. Ridley

AI is the first stop on this year's Road to RSNA preview of the 2026 RSNA meeting in Chicago.

November 11, 2026

Deep learning on chest x-rays matches PREVENT score for cardiac risk

In this session, a study will show that deep-learning models applied to routine chest x-rays can predict cardiovascular risk as accurately as the American Heart Association's standard PREVENT score.

November 11, 2026

AI shines as worklist prioritization tool in detecting PE

By Erik L. Ridley

In this talk, researchers will share their experience with utilizing AI software for detection and triage of pulmonary embolism (PE).

November 11, 2026

AI triage algorithms yield varied results in real-world use

By Erik L. Ridley

Researchers will present their experience in rolling out 11 triage AI algorithms across three hospitals.

November 11, 2026

AI can be a safety net for intracranial aneurysms

By Erik L. Ridley

An AI algorithm can help spot intracranial aneurysms on routine contrast-enhanced neck CT exams, according to this scientific paper.

November 11, 2026

Can an AI model predict Pluvicto treatment response?

By Erik L. Ridley

An algorithm that combines PSMA-PET imaging features with routine lab values may help predict which patients with mCRPC will respond to Pluvicto radioligand therapy, according to this presentation.

November 11, 2026

Rads, AI complement each other for spotting cerebral microbleeds

By Erik L. Ridley

Although an AI algorithm flagged far more cerebral microbleeds on brain MRI than a radiologist did, it also raised more false alarms, researchers will report in this presentation.

November 11, 2026

AI may not improve patient outcomes for stroke

By Erik L. Ridley

In this presentation, researchers will share how implementing AI software at a comprehensive stroke center didn’t measurably improve patient outcomes.

November 11, 2026

How does AI affect diagnostic risk in radiology?

By Erik L. Ridley

Rather than eliminating diagnostic risk in radiology, AI shifts it, according to an analysis set to be presented in Chicago.

November 11, 2026

AI predicts survival in metastatic prostate cancer

By Erik L. Ridley

For patients with metastatic prostate cancer, deep learning applied to PSMA-PET scans may be better for predicting survival than existing risk tools, according to this presentation.

November 11, 2026

AI software metrics may not reflect clinical performance

By Erik L. Ridley

Vendor-reported performance metrics don’t guarantee that a radiology AI device will perform well in clinical use, researchers will caution in this talk.

November 11, 2026

Can LLMs assist radiologists in diagnostic tasks?

By Erik L. Ridley

Multimodal large language models can generate accurate differential diagnoses and may support clinical decision-making, according to this presentation.

November 11, 2026

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