Dr. Anton Becker, PhD, and David Gugelmann, PhD

AI
AI-cyberterrorism in radiology: Threat or red herring?
In this Second Opinion article, Dr. Anton Becker, PhD, of Memorial Sloan Cancer Kettering Cancer in New York City and David Gugelmann, PhD, of Exeon Analytics assess the threat posed by artificial intelligence-powered cyberterrorism in radiology.
December 11, 2019
2019 03 26 18 32 2300 Computer Hacker Security 400
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PSMA-PET images. (A) Representative examples illustrate the variability in the total tumor volume (TTV) among patients stratified by the number of metastatic lesions. (B) Case examples demonstrate TTV segmentation across a range of TTV values. Notably, as the tumor volume increased, a visible decrease in radiopharmaceutical uptake by normal organs is observed, particularly in the salivary glands, kidneys, and liver (denoted by brackets), a phenomenon known as the “sink effect.” SUV = standardized uptake value.
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(A) Overview of study participants with different clinical phenotypes depicted in distinct colors: Limbic encephalitis (LE)/temporal lobe epilepsy (TLE): Blue; cerebellar ataxia (CA): Green; stiff person syndrome (SPS): Red, including overlapping clinical features with an overview of the analyzed parameter; generated in Biorender. (B) F-18 F-DED uptake, as visualized by SUVr with global mean scaling, is shown for three representative patients with GAD65-AIE: Patient #6 with LE/TLE, showing mesiotemporal F-18 F-DED uptake; patient #16 with overlapping clinical features of CA, SPS, and LE, showing both mesiotemporal and cerebellar F-18 F-DED uptake; and patient #17 with isolated SPS showing no increased F-18 F-DED uptake. Additionally, the average F-18 F-DED uptake of eight controls is shown on the right.
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