BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although currently there is no standardized curriculum in place for surgical oncologists. We describe the evolution of a proficiency-based robotic training progr...
OBJECTIVES: In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic complete response (pCR) of the axilla. We developed a convolutional neural network (CNN) algorithm to b...
BACKGROUND: Artificial neural networks (ANNs) have been applied to many prediction and classification problems, and could also be used to develop a prediction model of survival outcomes for cancer patients.
BACKGROUND: Robotic total mesorectal excision (R-TME), a novel way for minimally invasive treatment of rectal cancer, was shown in previous studies to be safe and effective. However, comparison with laparoscopic total mesorectal excision (L-TME) has ...
BACKGROUND: Open transthoracic esophagectomy is the worldwide gold standard in the treatment of resectable esophageal cancer. Robot-assisted minimally invasive thoraco-laparoscopic esophagectomy (RAMIE) for esophageal cancer may be associated with re...
BACKGROUND: The ability to provide accurate prognostic and predictive information to patients is becoming increasingly important as clinicians enter an era of personalized medicine. For a disease as heterogeneous as epithelial ovarian cancer, convent...
BACKGROUND: Although many experiences using the da Vinci Robot System have been reported by several groups, there is substantial controversy over the role of the robot in thyroidectomy. We performed a systematic review and meta-analyses in order to e...