Felix Busch

Medical Doctor @TU_Muenchen
Interested in #digitalhealth #medicalimaging #artificialintelligence

[Felix Busch @Fel_Busch]

I am excited to share that our article *Navigating the European Union Artificial Intelligence Act for Healthcare* has just been published in @npjDigitalMed🚀
#AIRegulation #DigitalHealth #EUAIAct #MedicalDevices #Innovation #npjDigitalMedicine #AIinHealthcare

[Nadine Bayerl, MD @nadinebayerl]

Can cancer patients understand their own CT staging reports? With mandatory portal access, patients are reading complex reports & test results before talking to a physician.
New @Radiology_RSNA study tests if #AI can help: #RadInTraining #Tweetorial
📖https://t.co/PfrIMqu88C

[Radiology: Artificial Intelligence @Radiology_AI]

We're proud to welcome the journal's 2025-2027 Trainee Editorial Board! Learn more about these talented individuals: https://t.co/Pekb0y3uNv

[JAMA Network Open @JAMANetworkOpen]

Patients preferred explainable AI systems and physician-led decision-making in this cross-sectional survey study. https://t.co/sxR33B3JMS

[Tugba Akinci D'Antonoli @Tugba_Akinci_MD]

📢 Excited to share our article “Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care” in @Radiology_AI

🔗 https://t.co/MGiwR11hSM

@judywawira @AliTejaniMD @BrdKhsrv @ShahriarFaghani @ManaMSF94 @cxbln @k_bressem @LCAdamsRad @Fel_Busch

[medRxiv @medrxivpreprint]

AI regulation in healthcare around the world: what is the status quo? https://t.co/3O6C516UYu #medRxiv

[Radiology @radiology_rsna]

Large language models can translate radiology reports into clear and readable non-English texts, although medical accuracy needs improvement and quality varied based on model and language pair. https://t.co/wbFeG6zMBs

[Jakob Nikolas Kather @jnkath]

Very happy to share our article about AI agents in cancer research and oncology, with @LeeTaliq @Dykex6 & Aviv Regev, out in @NatureCancer now -> https://t.co/A3tZ6omeAf
@katherlab @NCT_UCC_DD @NCT_HD

[ESR Journals @ESRJournals]

This recent Review published in #EuropeanRadiology explores the use of #LargeLanguageModels (LLMs) in #StructuredReporting. Felix Busch et al. look at limitations, regulatory obstacles, and more. (@pintodrad, @DanielTruhn, @renatocuocolo)

🔗 https://t.co/PEhQEJ2wbL

[Radiology @radiology_rsna]

Analysis of commercial and open source LLMs for labeling chest radiograph reports showed superior performance of ChatGPT-4 vs open source models in zero-shot labeling and comparable performance for few-shot prompting. @FelixDorfner @k_bressem @qtimlab https://t.co/VncMAx6CCM

[Felix Busch @Fel_Busch]

How will large language models transform structured reporting in radiology and beyond? In our comprehensive review just published in @EurRadiology, we deeply dive into the past, present, and future of LLMs for radiology reporting. Read the article here: https://t.co/PZmILklile

[Tianyu Han @peterhan91]

🚨 New Paper Alert! 🚨 We've discovered a major vulnerability in medical large language models (LLMs): they're highly susceptible to targeted misinformation attacks. This could have serious implications for healthcare AI! @DanielTruhn @jnkath
Full paper: https://t.co/4VAhuuNEEv

[Felix Busch @Fel_Busch]

@k_bressem @LCAdamsRad @COMFORT_EU @EstebanOrtizMD @DanielTruhn

[Felix Busch @Fel_Busch]

Our large-scale multicenter study of 4596 medical, dental, and veterinary students from 192 faculties in 48 countries provides crucial insights into the global landscape of AI perception and education in healthcare curricula. https://t.co/jaOUpFd1kA #AI #medicaleducation

[Keno Bressem @k_bressem]

The study is now available as a preprint at: https://t.co/DTZa1GPkRK

Many thanks to our global collaborators who made this study possible! Special shout out to @Fel_Busch for leading this initiative.

#COMFORTproject #HorizonEU

[Keno Bressem @k_bressem]

With AI becoming increasingly crucial in healthcare, we wondered: how do patients feel about its use? To find out, we conducted a massive global survey, gathering insights from 13,806 patients across 74 hospitals in 43 countries as part of the #COMFORTproject.

[Radiology: Artificial Intelligence @Radiology_AI]

#DeepLearning model highly accurate at classifying cardiac implants chest xrays https://t.co/5ui0dd8irz @Fel_Busch @HugoAerts @k_bressem #ChestRad #AI #MachineLearning

[Radiology @radiology_rsna]

Is there a future for Meta's open source Llama 3 large language model (LLM) in radiology AI applications? Find out in this original research study by @LCAdamsRad, @DanielTruhn, @Fel_Busch, @k_bressem et al. @TU_Muenchen @ChariteBerlin https://t.co/83tRWUWv2T

[Lisa Adams @LCAdamsRad]

Our new @npjDigitalMed commentary analyzes the EU AI Act's impact on healthcare. We explain the risk-based approach, explore implications for radiology AI, and discuss regulatory challenges for medical AI. Full article here: https://t.co/iYoGaLyrB3
Thanks to @Fel_Busch @k_bressem @DanielTruhn @christianjohner @jnkath

[COMFORT-AI @COMFORT_EU]

The European Union recently adopted the #AI Act. It is the first far-reaching legal framework dedicated to AI. But what are its implications for the healthcare domain?

A new journal article by some of our #COMFORTproject team members sheds light on this issue. 💡

[Felix Busch @Fel_Busch]

Ever wondered about:
- Prohibited AI practices and their exemptions?
- High-risk AI systems and general-purpose AI models?
- Key compliance requirements of the AI Act?
- Who is affected by the regulation?
Then our work is for you: https://t.co/5nivOchX3Z

[Felix Busch @Fel_Busch]

I am excited to share that our article *Navigating the European Union Artificial Intelligence Act for Healthcare* has just been published in @npjDigitalMed🚀
#AIRegulation #DigitalHealth #EUAIAct #MedicalDevices #Innovation #npjDigitalMedicine #AIinHealthcare