Video from RSNA 2023: AI and opportunistic screening

Nov 30, 2023

In a video interview, Perry Pickhardt, MD, of the University of Wisconsin in Madison discusses the promise of AI body composition analysis for enabling opportunistic screening. He also accepts his 2023 Minnie award for Most Influential Radiology Researcher.

Prostate Cancer

AI predicts responses in patients with prostate cancer

December 12, 2023

Study: Ditch the contrast agent in PET/MRI scans in children

December 7, 2023

ChatGPT tested on nuclear medicine cases

December 6, 2023

Pet Ct Machine 400

PET/CT predicts patient responses to CAR-T cell therapy

December 4, 2023

AI predicts responses in patients with prostate cancer

An AI model based on F-18 DCFPyL PSMA-PET/CT images shows promise for predicting treatment response in patients with metastatic castration-resistant prostate cancer.

December 12, 2023

Prostate Cancer

Study: Ditch the contrast agent in PET/MRI scans in children

F-18 FDG-PET/MRI scans without the use of a contrast agent should be the top choice for imaging children suffering from lymphoma.

December 7, 2023

ChatGPT tested on nuclear medicine cases

ChatGPT shows potential for diagnosing nuclear medicine cases, yet needs further development before it can be implemented in practice.

December 6, 2023

PET/CT predicts patient responses to CAR-T cell therapy

F-18 FDG-PET/CT scans may predict outcomes in patients with large B cell lymphoma undergoing chimeric antigen receptor (CAR) T-cell therapy.

December 4, 2023

Pet Ct Machine 400

AI assist for x-ray reads serves nonradiologists well in the ED

German researchers are testing ways to support nonradiologists in interpreting chest x-rays in emergency department (ED) settings using an AI assistant.

December 4, 2023

Covid 19 Patient Gurney

Canon highlights new CT scanners, workflow automation at RSNA 2023

By Kate Madden Yee, Erik L. Ridley

Canon Medical Systems unveiled two new CT scanners and a wide range of other offerings in its booth at RSNA 2023.

December 1, 2023

Canon Rsna 2019

AI expert Hugh Harvey gives key takeaways from RSNA 2023

Hugh Harvey, MD, managing director of Hardian Health in the U.K., has a list of nine take-home messages from RSNA 2023 about AI to consider.

December 1, 2023

Wendie Berg talks CEM with AuntMinnie.com

By Amerigo Allegretto

Wendie Berg, PhD, from the University of Pittsburgh discussed CEM studies she presented at RSNA 2023 with AuntMinnie.com.

December 1, 2023

Deep-learning model measures shoulder kinematics on DDR

An AI algorithm may make dynamic digital radiography (DDR) more efficient by automatically measuring kinematics involved in certain shoulder injuries.

December 1, 2023

ChatGPT-4.0 bests other large language models on ACR exam questions

By Amerigo Allegretto

ChatGPT-4.0 performs well on the image-independent American College of Radiology (ACR) Diagnostic In-Training Exam practice questions.

December 1, 2023

CEM confirms effectiveness of cryoablation

By Amerigo Allegretto

Contrast-enhanced mammography (CEM) confirms the effectiveness of ultrasound-guided cryoablation and could serve as a reliable annual follow-up exam.

December 1, 2023

Federica di Naro, MD, from Azienda Ospedaliero-Universitaria Careggi in Italy discusses her team's results at RSNA, showing that contrast-enhanced mammography (CEM) confirms the effectiveness of cryoablation and can serve as a valuable follow-up exam tool.

Video from RSNA 2023: Radiology AI in U.S. vs. Europe

By Erik L. Ridley

In a video interview, Prof. Erik Ranschaert, PhD, past president of the European Society of Medical Imaging Informatics, describes how radiology AI is being developed and implemented in the U.S. and Europe.

November 30, 2023

2023 11 30 Rsna Interview Erik Ranschaert

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