Jan Vosshenrich, MD (@Voss_MD) profile picture

Assoc. Prof. of Radiology @UniSpitalBasel | Visiting Researcher @nyulangone @nyuimaging | MSK & Abdominal Imaging | MRI Research

Basel, Switzerland
Joined March 2023
Photo by Jan Vosshenrich, MD (@Voss_MD)
Just in time for #SIR2024, our article on the energy consumption of #IR in @AJR_Radiology is now FREELY available๐Ÿ‘‡๐Ÿผ๐Ÿ‘‡๐Ÿผ๐Ÿ‘‡๐Ÿผ Get it now and join the #sustainability panel session with @SeanWoolenMD @SeanTutton @christine_kim13 @drewzer4455 this Sunday at 4:45pm!!๐ŸŒ๐ŸŒฑ @SIRspecialists
Curious about the energy demand of interventional imaging?โšก๏ธ Our latest investigation delves into #IR, #cardiology, and #urology, now published in @AJR_Radiology! Learn how to boost #sustainability ๐ŸŒ and get the article here:๐Ÿ‘‰ doi.org/10.2214/AJR.24.30988 @UniSpitalBasel @Rads4SF
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Curious about the energy demand of interventional imaging?โšก๏ธ Our latest investigation delves into #IR, #cardiology, and #urology, now published in @AJR_Radiology! Learn how to boost #sustainability ๐ŸŒ and get the article here:๐Ÿ‘‰ doi.org/10.2214/AJR.24.30988 @UniSpitalBasel @Rads4SF
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Interested in fast MSK MRI? ๐Ÿ” Our review on advanced image acceleration techniques is out now in @SkeletalRadiol! ๐Ÿ”ฅ๐Ÿฆด๐Ÿฉป Get the article incl. our latest 4-7 min joint MRI protocols here:๐Ÿš€๐Ÿ‘‡๐Ÿผ๐Ÿ‘‡๐Ÿผ doi.org/10.1007/s00256-024-0โ€ฆ @JanFritzMSK @NYUImaging @intskeletal @SSRbone @ESSRmsk
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T5 โ€“Developers 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. Which steps can we implement today to adopt more sustainable #AI in #Radiology? #RadAIchat
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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
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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. Which metrics can help evaluate the impact of #AI on sustainability in #radiology? #RadAIchat
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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 โ€“The 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
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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
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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
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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
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Interested in reducing electricity cost and carbon footprint of your practice? ๐ŸŒ๐Ÿ’ฐ Our activity tracker system is hot off the press @radiology_rsna ๐Ÿ”ฅ 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
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Very well written and comprehensive report explaining why radiologists should care about sustainability! ๐ŸŒ 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/raโ€ฆ
Our special report on climate change and radiology is hot off the press @radiology_rsna ๐Ÿ”ฅ๐ŸŒŽ The focus is on actions we can all take to address climate change โฌ‡๏ธ pubs.rsna.org/doi/10.1148/raโ€ฆ Huge thanks to this amazing team! @mjbrownmd @juliaschoenMD @ReedOmary & Jonathan Gross
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