
Assoc. Prof. of Radiology @UniSpitalBasel | Visiting Researcher @nyulangone @nyuimaging | MSK & Abdominal Imaging | MRI Research
Basel, Switzerland
Joined March 2023
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Just in time for #SIR2024, our article on the energy consumption of #IR in @AJR_Radiology is now FREELY available๐๐ผ๐๐ผ๐๐ผ
Get it now and join the #sustainability panel session with @SeanWoolenMD @SeanTutton @christine_kim13 @drewzer4455 this Sunday at 4:45pm!!๐๐ฑ
@SIRspecialists
Curious about the energy demand of interventional imaging?โก๏ธ
Our latest investigation delves into #IR, #cardiology, and #urology, now published in @AJR_Radiology!
Learn how to boost #sustainability ๐ and get the article here:๐ doi.org/10.2214/AJR.24.30988
@UniSpitalBasel @Rads4SF
Curious about the energy demand of interventional imaging?โก๏ธ
Our latest investigation delves into #IR, #cardiology, and #urology, now published in @AJR_Radiology!
Learn how to boost #sustainability ๐ and get the article here:๐ doi.org/10.2214/AJR.24.30988
@UniSpitalBasel @Rads4SF
Interested in fast MSK MRI? ๐
Our review on advanced image acceleration techniques is out now in @SkeletalRadiol! ๐ฅ๐ฆด๐ฉป
Get the article incl. our latest 4-7 min joint MRI protocols here:๐๐๐ผ๐๐ผ
doi.org/10.1007/s00256-024-0โฆ
@JanFritzMSK @NYUImaging @intskeletal @SSRbone @ESSRmsk
T5 โDevelopers and users of medical #AI algorithms can all contribute to making #AI more sustainable. Steps include the use of energy-efficient hardware, cloud computing and collaborative efforts to avoid redundancy in algorithm development. 1/2 #RadAIchat
T5 โ Also, energy source choices impact the #sustainability of #AI. The use of renewable energy during model development and deployment can substantially decrease #AI algorithm-related greenhouse gas emissions. 2/2 #RadAIchat
T4 โ Obvious sustainability metrics are energy consumption and greenhouse gas emissions. These similarly apply to #AI applications, as they do for the assessment of sustainability of imaging equipment. 1/2 #RadAIchat
T4 โ It may also be useful to calculate the net impact of an #AI application when introduced, e.g. if the energy savings of accelerated MRI scans that can be achieved with #DL-reconstructions outweigh the energy demand from model development and use. 2/2 #RadAIchat
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T3 โThe environmental footprint of medical #AI varies among individual tools and applications. Sources of #AI-related greenhouse gas emissions include the often enormous energy demand for model development and data storage. 1/2 #RadAIchat
T3. What is the environmental footprint of medical #AI?
#RadAIchat
T3 โ However in comparison to the energy demand of large language models or crypto assets, the current carbon footprint of medical #AI is likely smaller. 2/2 #RadAIchat
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T2 โ Particularly noninterpretative #AI applications can enhance #sustainability.
E.g. by improving operational efficiency by means of accelerated MRI exams with #DL-reconstruction or a reducing low-value imaging by the help of #AI-powered decision support tools. 1/2 #RadAIchat
T2 โ Noninterpretative #AI applications may also help optimize patient scheduling, thereby reducing scanner idle times and associated energy waste. 2/2 #RadAIchat
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A1 โ #Sustainability in radiology includes a variety of concepts aimed at optimizing resource utilization and minimizing our environmental impact without compromising the delivery of high-value imaging. 1/2 #RadAIchat
Let's get started!
T1. What is sustainability in #radiology?
#RadAIchat
A1 โ #Sustainability includes practices to reduce the energy consumption of medical imaging, minimize waste, and implement eco-friendly technologies and processes. 2/2
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Great to see how @radiology_rsna and @RadiologyEditor keep promoting #sustainability in radiology with yet another series of articles this week!
Thank you @DrLindaMoy for the invitation to write this editorial on first steps toward greening MRI: rb.gy/7c5ad
Check out this special feature on the intersection of climate change, sustainability, and radiology, with ideas on what radiologists can do to help and a snapshot of the sustainability efforts at @RSNA. @drLindaMoy @RadiologyEditor @KateHanneman bit.ly/41ucseZ
Interested in reducing electricity cost and carbon footprint of your practice? ๐๐ฐ
Our activity tracker system is hot off the press @radiology_rsna ๐ฅ
Source code is freely available: rb.gy/93xmz
#GreenRadiology #RadGoesGreen
@Rads4SF @HCWithoutHarm @HCWHGlobal
#RADIOLOGY New: Activity tracker system to turn off scanners, PAC workstation and other devices during idle hours
rb.gy/4acgd @Voss_MD #RadGoesGreen #ClimateActionNow #ClimateAction
Very well written and comprehensive report explaining why radiologists should care about sustainability! ๐
Reducing energy waste in daily practice can be a simple and effective first step. See our companion article in @radiology_rsna:
pubs.rsna.org/doi/10.1148/raโฆ
Our special report on climate change and radiology is hot off the press @radiology_rsna ๐ฅ๐
The focus is on actions we can all take to address climate change โฌ๏ธ
pubs.rsna.org/doi/10.1148/raโฆ
Huge thanks to this amazing team! @mjbrownmd @juliaschoenMD @ReedOmary & Jonathan Gross
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Great session on an important topic! Excellent talks by @swoo_rad and @AtulShinagare
Replying to @AtulShinagare
@AtulShinagare giving an excellent talk @IDKDCourse about report language and diagnostic certainty!
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