AIM @ Harvard
@aim_harvard
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News and Updates of AIM
Boston
Joined June 2020
In this #RedJournal Article: A review of clinical natural language processing discusses how this advancing AI field is poised to impact #RadOnc research & clinical care. @dbittermanmd @TMills @Dr_RayMak @guergana_s @Bos_CHIP @DanaFarber @BrighamWomens ➡️ https://t.co/RihPcOMuuh
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Small heart size, relative to the body size, may represent a prognostic marker of MACE in patients with stable chest pain. Novel insights from the PROMISE trial! #EurRadiol #Radiology @myESR @ESR_Journals ⬇️☑️
link.springer.com
European Radiology - The size of the heart may predict major cardiovascular events (MACE) in patients with stable chest pain. We aimed to evaluate the prognostic value of 3D whole heart volume...
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@HugoAerts et al present a deep learning system to predict cardiovascular events from CT scans in a multicenter study @aim_harvard
https://t.co/2PIIV5UnCu
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@HugoAerts et al present a deep learning system to predict cardiovascular events from CT scans in a multicenter study @aim_harvard
https://t.co/77yfqmzOYV
nature.com
Nature Communications - Coronary artery calcium is an accurate predictor of cardiovascular events but this information is not routinely quantified. Here the authors show a robust and time-efficient...
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.@HugoAerts et al: “Our results demonstrate the clinical value of a #deeplearning system for the automated prediction of #cardiovascular events.” @aim_harvard
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Scientific American discusses the hype in AI and highlights study from AIM. https://t.co/Sz164CtgMK
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MIT Technology Review highlights our study about the need for more transparant and reproducible AI. https://t.co/a9rW4WPPtQ
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AIM investigators publish a study in Nature about the need of transparent AI research. @hugo_aerts @ahmedhosny @Nature
https://t.co/dfMbPaf66t
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In Annals of Internal Medicine, AIM investigators demonstrated how Lung cancer screening can be improved using deep-learning applied to chest radiograph images - https://t.co/imMNS2M0Wm
@AnnalsofIM @hugo_aerts #AI #machinelearning #deeplearning #CancerDetection #xray
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Dr. Raymond Mak and colleagues have published about levels of Automation in Medical AI -
thelancet.com
Artificial intelligence (AI) has the potential to transform the delivery of health care by automating complex tasks that traditionally required substantial training and expertise. Contrary to...
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AIM scientists published in Nature Reviews about the potential impact of AI in Radiation Oncology - https://t.co/aixltwJf8W
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New Perspective article by Hugo Aerts and colleagues: 'Artificial intelligence in radiation oncology' - https://t.co/lUVaz3zQpF
#radonc #oncorad #RadBio
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