42 papers
Radiology and imaging serve as the eyes of modern medicine, allowing doctors to peer inside the human body without making a single incision. This rapidly evolving field uses technologies like X-rays, MRI scans, and ultrasound to detect diseases, guide treatments, and monitor patient recovery. As new research emerges, these visual tools become increasingly sophisticated, offering deeper insights into conditions ranging from broken bones to complex neurological disorders.
At Gist.Science, we bridge the gap between raw scientific data and public understanding by processing every new preprint in this category from medRxiv. Our team translates these complex studies into both plain-language overviews and detailed technical summaries, ensuring that breakthroughs in medical imaging are accessible to everyone, from students to specialists. Below are the latest papers in radiology and imaging, ready for you to explore.
This study demonstrates that while highly curated, smaller datasets can achieve equivalent 3D segmentation performance to much larger mixed-curation datasets, the latter offers superior generalizability and local improvements, indicating that the optimal balance between data quality and quantity depends on specific training goals.
This systematic review evaluates the current landscape of intraoperative molecular imaging and AI integration in pediatric brain tumor surgery, highlighting the proven efficacy of intraoperative MRI and selective fluorescence guidance while identifying critical gaps in pediatric-specific metabolomic platforms and standardized protocols that must be addressed to optimize oncological and neurodevelopmental outcomes.