2020
DOI: 10.1016/j.acra.2019.07.031
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Artificial Intelligence in Radiology: Summary of the AUR Academic Radiology and Industry Leaders Roundtable

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Cited by 16 publications
(10 citation statements)
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“…Even as physicians become more specialised, the systems they leverage, including Artificial Intelligence (AI) and Machine Learning (ML) in radiology (Chan, Bailey, and Ros 2020) and oncology (Bera et al 2019), or ML applications in artificial pancreases designed to regulate basal insulin delivery (Shi, Dassau, and Doyle 2019), the intermediation of software, algorithms and medical devices more broadly alter communications on diagnosis, treatment and care. It is into this mix that there is an increasing necessity to utilise the legal and regulatory frameworks being implemented in the US and the EU to build a PCA approach inclusive of patient cybersecurity concerns.…”
Section: Health Care Cybersecurity: a Comparative Analysismentioning
confidence: 99%
“…Even as physicians become more specialised, the systems they leverage, including Artificial Intelligence (AI) and Machine Learning (ML) in radiology (Chan, Bailey, and Ros 2020) and oncology (Bera et al 2019), or ML applications in artificial pancreases designed to regulate basal insulin delivery (Shi, Dassau, and Doyle 2019), the intermediation of software, algorithms and medical devices more broadly alter communications on diagnosis, treatment and care. It is into this mix that there is an increasing necessity to utilise the legal and regulatory frameworks being implemented in the US and the EU to build a PCA approach inclusive of patient cybersecurity concerns.…”
Section: Health Care Cybersecurity: a Comparative Analysismentioning
confidence: 99%
“…However, the human ability to interpret, quantify, and integrate these data sets are limited. The identification of novel markers and application of machine learning (ML) algorithms, including deep learning (DL) to cardiovascular imaging techniques will further improve diagnosis and prognostication for patients with cardiovascular diseases [ 1 ].…”
Section: Introductionmentioning
confidence: 99%
“…The need for social distancing, with consequent need to promote the practice of teleradiology has challenged both academia and industry to re-evaluate optimal delivery and access to patient care. To address these challenges and to foster open discussion between radiology and industry leaders, the Association of University Radiologists (AUR) convened its fifth annual Academic-Industry Roundtable virtually via Zoom (Zoom Video Communications, San Jose, California) on May 7, 2021. In the past, the AUR Academic-Industry Roundtable has taken place as a means for allowing radiology and partnering industry leaders to meet one another in person and to discuss some of the most pertinent and timely issues facing radiology (1). In 2021, the format was similar with that of previous years, with the forum providing an opportunity for an open brainstorming discussion between radiology chairs, leaders of professional societies, and industry partners.…”
mentioning
confidence: 99%