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Felix Busch Profile
Felix Busch

@Fel_Busch

Followers
46
Following
98
Media
5
Statuses
52

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

Munich, Deutschland
Joined June 2022
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@Fel_Busch
Felix Busch
1 year
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
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@Radiology_AI
Radiology: Artificial Intelligence
3 months
We're proud to welcome the journal's 2025-2027 Trainee Editorial Board! Learn more about these talented individuals: https://t.co/Pekb0y3uNv
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@JAMANetworkOpen
JAMA Network Open
5 months
Patients preferred explainable AI systems and physician-led decision-making in this cross-sectional survey study. https://t.co/sxR33B3JMS
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@radiology_rsna
Radiology
11 months
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
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@jnkath
Jakob Nikolas Kather
11 months
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
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@EurRadiology
European Radiology
1 year
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) đź”— https://t.co/PEhQEJ2wbL
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@radiology_rsna
Radiology
1 year
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
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@Fel_Busch
Felix Busch
1 year
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
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@peterhan91
Tianyu Han
1 year
🚨 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:
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nature.com
npj Digital Medicine - Medical large language models are susceptible to targeted misinformation attacks
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@Fel_Busch
Felix Busch
1 year
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
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bmcmededuc.biomedcentral.com
Background The successful integration of artificial intelligence (AI) in healthcare depends on the global perspectives of all stakeholders. This study aims to answer the research question: What are...
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@k_bressem
Keno Bressem
1 year
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
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medrxiv.org
The successful implementation of artificial intelligence (AI) in healthcare is dependent upon the acceptance of this technology by key stakeholders, particularly patients, who are the primary...
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@k_bressem
Keno Bressem
1 year
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.
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@Radiology_AI
Radiology: Artificial Intelligence
1 year
#DeepLearning model highly accurate at classifying cardiac implants chest xrays https://t.co/5ui0dd8irz @Fel_Busch @HugoAerts @k_bressem #ChestRad #AI #MachineLearning
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@LCAdamsRad
Lisa Adams
1 year
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/jWWWOkTAJf Thanks to @Fel_Busch @k_bressem
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@COMFORT_EU
COMFORT-AI
1 year
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. đź’ˇ
@npjDigitalMed
npj Digital Medicine
1 year
New article! Read Navigating the European Union Artificial Intelligence Act for Healthcare https://t.co/knLoALFvh4 in npj Digital Med
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@Fel_Busch
Felix Busch
1 year
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:
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nature.com
npj Digital Medicine - The European Union’s recently adopted Artificial Intelligence (AI) Act is the first comprehensive legal framework specifically on AI. This is particularly important for...
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