Tugba Akinci D'Antonoli
@tugbaakinci.bsky.social
630 followers 420 following 19 posts
Radiologist #neurorad fellow | BM EuSoMII | TEB @radiology-ai | EB #EuropeanRadiology | GCSRT '18 @harvardmed | Interested in AI, Open Science, Reproducibility #Radiology #Radsky #Medsky
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tugbaakinci.bsky.social
🎉 Honored to receive the 2025 Alexander R. Margulis Award for Scientific Excellence with our @Radiology @rsnasky.bsky.social article TotalSegmentator MRI 🎉

@JakobWasserthal University Hospital Basel @unibas.ch
tugbaakinci.bsky.social
🎉 Honored to receive the 2025 Alexander R. Margulis Award for Scientific Excellence with our @Radiology @rsnasky.bsky.social article TotalSegmentator MRI 🎉

@JakobWasserthal University Hospital Basel @unibas.ch
tugbaakinci.bsky.social
🚀 Foundation Models for Radiology: A New Era Begins!

🔗 Read our new open access review article: lnkd.in/eqiG4BTq

@cxbln.bsky.social @renatocuocolo @Klonmich @A_PonsiglioneMD and Burak Kocak

@EuSoMII #Radiology #AI #FoundationModels #MedicalImaging
Reposted by Tugba Akinci D'Antonoli
cekahn.bsky.social
Looking forward to presenting information about the #ROADMAP initiative at the upcoming #EuSoMII25 meeting!

eusomii-annualmeeting2025.com @myesr.bsky.social
Reposted by Tugba Akinci D'Antonoli
radiology-ai.bsky.social
🚨@radiology-ai.bsky.social Impact Factor = 💠13.2💠

# 3⃣ of 212 journals in #Radiology #NucMed #imaging
# 9⃣ of 204 journals in #ComputerScience / #AI

pubs.rsna.org/journal/ai @rsnasky.bsky.social
2024 Radiology: Artificial Intelligence Impact Factor 13.2
Reposted by Tugba Akinci D'Antonoli
radiology-ai.bsky.social
Special report on #cybersecurity threats and mitigation strategies for #LLMs in health care https://doi.org/10.1148/ryai.240739 @alitejanimd.bsky.social #ASNR25 #NeuroRad #radiology
Image from article in Radiology: Artificial Intelligence
Reposted by Tugba Akinci D'Antonoli
auntminnie.bsky.social
Large language models (LLMs) are vulnerable to cybersecurity threats, putting security at the fore, according to a report by Swiss experts published in @radiology-ai.bsky.social. #radiology #health #AI
Report highlights LLM cybersecurity threats
The use of LLMs in radiology and healthcare as a whole is expanding, making it crucial to start understanding their potential vulnerabilities.
buff.ly
Reposted by Tugba Akinci D'Antonoli
radiology-ai.bsky.social
Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care https://doi.org/10.1148/ryai.240739 @alitejanimd.bsky.social #ESGAR2025 #AbdRad #radiology
Image from article in Radiology: Artificial Intelligence
Reposted by Tugba Akinci D'Antonoli
radiology-ai.bsky.social
Special report on #cybersecurity threats and mitigation strategies for #LLMs in health care https://doi.org/10.1148/ryai.240739 @alitejanimd.bsky.social #ESGAR2025 #AbdRad #radiology
Image from article in Radiology: Artificial Intelligence
tugbaakinci.bsky.social
Delighted to receive the Editor's Recognition Award with special distinction for @radiology-ai.bsky.social
Special thanks to @cekahn.bsky.social @judywawira.bsky.social @merelhuisman.bsky.social @KMagudia and @radrudie.bsky.social
Congratulations to all my fellow TEB members who were also awarded
Reposted by Tugba Akinci D'Antonoli
radiology-ai.bsky.social
Special report on #cybersecurity threats and mitigation strategies for #LLMs in health care https://doi.org/10.1148/ryai.240739 @alitejanimd.bsky.social #ESGAR2025 #AbdRad #radiology
Image from article in Radiology: Artificial Intelligence
Reposted by Tugba Akinci D'Antonoli
esor-myesr.bsky.social
💻 Want to brush up on your data handling? Afraid of LLMs? 💻

One week to go until the Foundation Course in Medical Imaging Informatics... don't miss out! Register now at buff.ly/3CDR3sr

#radiology #onlineeducation #ai
Reposted by Tugba Akinci D'Antonoli
cekahn.bsky.social
It's time to apply! We welcome applications for the
@Radiology_AI Trainee Editorial Board from #radiology residents + fellows and from PhD students + postdocs in #AI related disciplines

➡️ rsna.org/education/tr...

#MachineLearning #RadRes #DataScientist @rsnasky.bsky.social
Reposted by Tugba Akinci D'Antonoli
tugbaakinci.bsky.social
Could the lower performance of MD+AI be due to the learning curve associated with these technologies? Since the studies provide only a snapshot of performance, it would be more appropriate to allow MDs time to adapt. Performance may improve over time or become more evident in a longitudinal study.
tugbaakinci.bsky.social
Your talk was one of the highlights of my #ECR2025! Hope you will come back next year and we can keep learning from you!
Reposted by Tugba Akinci D'Antonoli
alitejanimd.bsky.social
One of my highlights at #ECR2025 has been watching @tugbaakinci.bsky.social and @merelhuisman.bsky.social lead discussions on important #AI topics all week! Wonderful insights and education for #radiology #AI, including for those of us across the pond!

@myesr.bsky.social
tugbaakinci.bsky.social
Chaired two insightful sessions at #ECR2025 today!

"Standardization and Reporting in AI Research" with experts Hans Reitsma Mike Klontzas Annika Reinke

"How to Use ChatGPT for Academic and Administrative Tasks" Andreas S. Brendlin @cxbln.bsky.social and Ghizlane Lembarki

@myesr.bsky.social
tugbaakinci.bsky.social
Chaired two insightful sessions at #ECR2025 today!

"Standardization and Reporting in AI Research" with experts Hans Reitsma Mike Klontzas Annika Reinke

"How to Use ChatGPT for Academic and Administrative Tasks" Andreas S. Brendlin @cxbln.bsky.social and Ghizlane Lembarki

@myesr.bsky.social
tugbaakinci.bsky.social
Had a great first day of #ECR2025!

📊 Room was packed for Part 1 of our Statistics Workshop, where we delved into the basics of statistics

📊 Don't miss Part 2 this Friday for practical exercises!

@europeanradiology.bsky.social @myesr.bsky.social @pintodrad.bsky.social @mrifranz.bsky.social
Reposted by Tugba Akinci D'Antonoli
cannellaroberto.bsky.social
Just published in @europeanradiology.bsky.social and endorsed by EuSoMII

🎯The intra-rater reliability of the METRICS was relatively good, while the inter-rater reliability was relatively low.

📌This highlights the need for further efforts to achieve a common understanding of METRICS items!