Resources

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
Road to RSNA black and white shield badge logo
Deep learning on chest x-rays matches PREVENT score for cardiac risk
By Will Morton
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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