Synopsis of recent research by authors named "Xuanhao Li"
- Xuanhao Li's research primarily explores innovative surgical techniques and diagnostic methods in urology, emphasizing the use of advanced imaging and machine learning for improved patient outcomes.
- Key findings include the effectiveness of indocyanine green (ICG) in enhancing surgical procedures like nephroureterectomy and adrenalectomy, as well as the development of non-invasive approaches for bladder cancer detection using cfDNA and machine learning models.
- Additional studies focus on patient management strategies for prostate cancer and complications following surgical interventions, contributing to a broader understanding of urological health and treatment methodologies.