Background The rapid growth of biomedical publishing in radiation oncology has created a need for automated methods to extract structured information from unstructured text. Large language models (LLMs) show promise in biomedical natural language processing, but their use for clinical trial data curation remains to be...
F. Dennstaedt, Lena Kretzschmar, N. Cihoric et al.· Oncology· 0 citations
BACKGROUND
Flow diverters have expanded endovascular treatment options, yet large real-world data about their comparative periprocedural safety in the treatment of unruptured intracranial aneurysms are limited. This study aimed to compare the short-term safety of flow diverters with alternative endovascular techniques....
P. Heesen, Olga Ciobanu-Caraus, S. Feuerriegel et al.· Journal of NeuroIntervention...· 0 citations
Background: Healthcare information systems are effective at documenting encounters but remain less capable of representing evolving patient states, coordinating cross-disciplinary decisions, and reconnecting decisions with longitudinal outcomes and value. This Perspective derives a reference architecture for a clinical...
Bruno Fuchs, Gabriela Studer, P. Heesen· BioMedInformatics· 0 citations
Hospital physicians were more receptive for use of AI technologies in radiology compared to private practitioners, and practice patterns, economic factors, doctor-patient relationships, and frequency of interaction with the radiology department likely influence how AI use in radiology is perceived.
Anouk Weibel, J. Ospel, Paula Roßmüller et al.· Neurological Research· 0 citations
It is suggested that SBRT provides effective local control and meaningful symptom relief for spinal metastases from prostate cancer, with acceptable toxicity, and the role of SBRT in modifying disease progression and survival, particularly in CRPC.
Aaditya Dravid, Suvan Sundaresh, David Wang et al.· Neurosurgical review· 0 citations
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