BACKGROUND
This document represents the published proceedings of the 37th International Congress and Exhibition of the International Society for Computer Assisted Radiology and Surgery (CARS), held in Munich, Germany from June 20–23, 2023. The CARS congress is an annual interdisciplinary forum that brings together researchers, clinicians, and engineers working at the intersection of imaging, computation, and surgical intervention. The proceedings compile peer-reviewed abstracts and full papers accepted for presentation at the meeting, covering topics such as medical imaging, image-guided interventions, computer-aided diagnosis, surgical robotics, and artificial intelligence in radiology and surgery.
METHODS
The proceedings were published as a supplement issue of a Springer journal (DOI prefix 10.1007/s11548) and contain contributions selected through the CARS peer-review process. The full document is available as a 15.2 MB PDF (11548_2023_Article_2878.pdf), indicating a substantial volume of submitted material covering multiple thematic tracks within computer-assisted radiology and surgery. No specific study-level methodology is reported in the available excerpt.
KEY RESULTS
The proceedings volume aggregates a large number of contributed abstracts and papers, exact count not clearly reported in the available source text. Topics addressed span image-guided surgery, surgical workflow analysis, deep learning for medical image analysis, augmented reality in the operating room, interventional radiology, radiation therapy planning, and clinical applications of artificial intelligence across multiple organ systems. Specific numerical results, statistical outcomes, and effect sizes are not clearly reported in the available excerpt because the source consists only of the title, citation, and download link for the full proceedings PDF.
CLINICAL IMPLICATIONS
As a congress proceedings rather than a single clinical study, the document does not present a unified clinical finding. Rather, it functions as a snapshot of the state of research in computer-assisted radiology and surgery in 2023. The breadth of topics covered reflects the ongoing integration of advanced imaging, computational methods, and robotic systems into routine radiological and surgical practice, with implications for diagnostic accuracy, minimally invasive intervention, intraoperative decision support, and outcomes research. Readers seeking specific clinical findings must consult individual abstracts and papers within the PDF.
STUDY LIMITATIONS
Only the bibliographic information and PDF link are available in the provided source text; the full text of the proceedings was not accessed. Therefore, individual study results, sample sizes, statistical analyses, and clinical outcomes cannot be summarized. No conflict of interest, funding statement, or ethical review information is available in the visible portion of the document.