Video from RSNA 2021: Dr. Paul Chang on AI in radiology

Nov 29, 2021

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CHICAGO - What's the latest on artificial intelligence (AI) in radiology? Is the establishment of Medicare payments for AI leading to increased clinical use? We caught up to Dr. Paul Chang at RSNA 2021 and asked him for his take.

Dr. Paul Chang on artificial intelligence in radiology.

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Podcast: What's next for chest radiographs?

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Volume of AI-segmented lesions predicts prostate cancer outcomes

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CMIMI: LLM approach successfully labels abnormal organs on CT reports

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LLMs decrease in accuracy over time on radiology exams

Large language models (LLMs) demonstrate high accuracy on radiology exams, yet decrease in accuracy over time.

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In this episode of Keeping up with the Radiologists, co-hosts Saurabh (Harry) Jha, MD, and Mitchell Schnall, MD, assess the future of the chest radiograph.

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An AI method for measuring prostate tumor volume based on multiparametric MRI (mpMRI) data shows promise for predicting treatment outcomes.

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CMIMI: LLM approach successfully labels abnormal organs on CT reports

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Privacy-preserving large language models (LLMs) can successfully label abnormal organs on CT reports.

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A deep-learning method using endoscopic ultrasound images could detect pancreatic neuroendocrine neoplasms.

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The Ateneo Veneto, founded in 1812 and the oldest cultural institute still operating in Venice, was chosen as the venue for 'R7 – Radiology International Forum of Scientific Societies of Radiology.' Photo courtesy of SIRM and Emanuele Neri, MD.

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GPT-4V flops on RSNA ‘Case of the Day’ questions

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