When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
ChatGPT and Interventional Radiology
Naveen Kalra, Sanjeeva P. Kalva
doaj +1 more source
From embolization to access: Wire-enabled crossing of a coil pack for targeted distal re-treatment. [PDF]
Lee J, Boros D, Lee EW, Hao F.
europepmc +1 more source
Segmented Therapeutic Delivery via Acoustic Microbubble Relay
An acoustically driven, modular segmented delivery system is presented to overcome mechanical limitations of conventional microcatheters. Oscillating microbubbles generate directional streaming that enables continuous, targeted transport across open, angled segments.
Lei Wang +6 more
wiley +1 more source
Hemorrhagic hepatocellular carcinoma managed with urgent transarterial particle embolization: A case report. [PDF]
Agwuncha O, Khatri S, Smith M, Koney N.
europepmc +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Interventional radiology in the management of vascular complications in urogynecology: a lower-extremity hematoma after transobturator sling-case report. [PDF]
Gómez Polania L +2 more
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Identifying research areas in peripheral artery disease treatment-a Delphi consensus approach. [PDF]
Müller-Hülsbeck S +4 more
europepmc +1 more source
Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions. [PDF]
Mariotti F +9 more
europepmc +1 more source

