Artificial Intelligence Preview: Page 2

Will AI affect radiology malpractice cases?
By Erik L. Ridley
How radiologists utilize AI and how they document that use could sway jurors in a malpractice case, according to this presentation.
November 11, 2026
Can AI help spot pancreatic cancer sooner?
By Erik L. Ridley
An open-source AI system could detect pancreatic cancer on routine CT exams nearly a year before clinical diagnosis, according to this study.
November 11, 2026
Rads and AI: better together for detecting pancreatic cancer
By Erik L. Ridley
In this scientific presentation, researchers will describe how radiologists and AI can make an effective team for detecting pancreatic cancer on CT.
November 11, 2026
How AI utilization reflects cognitive load for radiologists
By Erik L. Ridley
In this talk, researchers will explain how usage logs from AI-assisted reporting tools can effectively measure cognitive load.
November 11, 2026
Does AI negatively affect cognitive burden of radiologists?
By Erik L. Ridley
AI doesn’t always lighten radiologists’ mental workload, and in some cases adds to it, researchers will report.
November 11, 2026
AI gives rads a boost on prostate MRI exams
By Erik L. Ridley
In this presentation, researchers will make the case that AI can help radiologists read prostate MRI exams more accurately and consistently.
November 11, 2026
Algorithm assesses mortality risk in heavy smokers
By Erik L. Ridley
A deep-learning model can predict mortality in heavy smokers from CT lung cancer screening exams, adding prognostic value beyond traditional risk factors and body composition measures, according to this talk.
November 11, 2026
AI predicts cancer risk on LDCT lung cancer screening exams
By Erik L. Ridley
Researchers will describe the performance of a new deep-learning algorithm for predicting malignancy on low-dose CT (LDCT) lung cancer screening exams.
November 11, 2026
Thyroid ultrasound AI yields high agreement with radiologists
By Erik L. Ridley
In this scientific presentation, researchers will share findings from a large, real-world deployment of AI software for thyroid ultrasound.
November 11, 2026
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