Ibtsaam Qadir
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ibtsaamqadir.bsky.social
Ibtsaam Qadir
@ibtsaamqadir.bsky.social
PhD Biomedical Engineering @ Purdue University | AI in Medicine | Multimodal AI | Translational Clinical Research

ibtsaamqadir.github.io
Wrapping up #RSNA25! It was a privilege to present my research on deep learning generalization across varying MRI scanner parameters, particularly magnetic field strength. Sharing this work and receiving thoughtful feedback from the community was a great experience.
December 5, 2025 at 3:14 AM
Reposted by Ibtsaam Qadir
📢 @fionakolbinger.bsky.social and @jnkt.bsky.social characterize the discordance between metrics used to evaluate AI tools and their clinical impact, proposing a framework to reduce this disconnect. www.nature.com/articles/s43... @tudresden.bsky.social @ekfzdigital.bsky.social

🔓 rdcu.be/eQmQp
Adaptive validation strategies for real-world clinical artificial intelligence - Nature Computational Science
Technical metrics used to evaluate medical artificial intelligence tools often fail to predict their clinical impact. We characterize this discordance and propose a framework of study designs to guide...
www.nature.com
November 17, 2025 at 3:23 PM
Reposted by Ibtsaam Qadir
Prompt injection attacks on vision-language models for surgical decision support https://www.medrxiv.org/content/10.1101/2025.07.16.25331645v1
July 24, 2025 at 2:14 AM
Latest from #ASCO2025

"Towards personalized management of intraductal papillary mucinous neoplasms with multimodal artificial intelligence."

Read the abstract: ascopubs.org/doi/10.1200/...
Towards personalized management of intraductal papillary mucinous neoplasms with multimodal artificial intelligence.
e16461Background: According to the Fukuoka and Kyoto consensus guidelines, the clinical management of pancreatic intraductal papillary mucinous neoplasms (IPMNs) primarily depends on imaging features,...
ascopubs.org
June 11, 2025 at 8:15 PM
🚨New in European Heart Journal – Digital Health!

Our latest letter highlights how AI could revolutionize post-PCI risk prediction—but it is missing a critical piece!

Read it here: doi.org/10.1093/ehjd...

#AIinCardiology #MedSky #AI #DigitalHealth
From marginal gains to clinical utility: machine learning–based percutaneous coronary intervention risk prediction models
Percutaneous coronary intervention (PCI) is one of the most frequently performed cardiovascular interventions,1 yet post-procedural complications remain a
doi.org
April 10, 2025 at 10:13 PM
Reposted by Ibtsaam Qadir
Artificial Intelligence in Pancreatic Intraductal Papillary Mucinous Neoplasm Imaging: A Systematic Review https://www.medrxiv.org/content/10.1101/2025.01.08.25320130v1
January 9, 2025 at 7:14 PM