Human capital and productivity in surgery research during a pandemic: an artificial intelligence approach [0.03%]
人工智能方法在大流行期间外科手术研究中的劳动力与生产力关系研究
Sofoklis Goulas,Georgios Karamitros
Sofoklis Goulas
Protocol for open-label randomized clinical trial of intensive surveillance versus standard postoperative follow-up in patients undergoing surgical resection for oesophageal and gastric cancer [0.03%]
开放标记随机临床试验方案：食管癌和胃癌手术切除患者密切监测与标准术后随访的对比研究
Sheraz R Markar,Alice Guazzelli,Amy Taylor et al.
Sheraz R Markar et al.
Colin Bicknell,Rachel Bell
Colin Bicknell
Will collaborative publishing with ChatGPT drive academic writing in the future? [0.03%]
与ChatGPT合作出版会推动学术写作的未来吗？
Sisith Ariyaratne,Kathikeyan P Iyengar,Rajesh Botchu
Sisith Ariyaratne
Shifting perceptions on endoscopic surveillance and timing of prophylactic gastrectomy for hereditary diffuse gastric cancer [0.03%]
遗传性弥漫性胃癌内镜监测观念的变化和预防性胃切除术时机的研究
Jolanda M van Dieren,Rachel S van der Post,Tanya M Bisseling
Jolanda M van Dieren
Comment on: Watch and wait after neoadjuvant treatment in rectal cancer: comparison of outcomes in patients with and without a complete response at first reassessment in the International Watch & Wait Database (IWWD) [0.03%]
国际观察和等待数据库（IWWD）中经新辅助治疗后的直肠癌患者首次再评估时完全缓解与非完全缓解患者的结局比较：述评
Sian Jones,Giodin Perin,Sabapathy Balasubramanian
Sian Jones
Author response to: Comment on: Outcomes following watch and wait of a clinical complete response in rectal cancer after neoadjuvant treatment: comparison of patients with and without complete response at first reassessment in the International Watch & Wait Database (IWWD) [0.03%]
对“新辅助治疗后临床完全缓解的直肠癌等待观察结果”的评论答复：国际等待观察数据库(IWWD)中首次复查有无完全缓解患者的结果比较
Sofieke J D Temmink,Koen C M J Peeters,Andrew G Renehan et al.
Sofieke J D Temmink et al.
Prediction of postoperative complications after oesophagectomy using machine-learning methods [0.03%]
机器学习方法在食管切除术后并发症预测中的应用
Jin-On Jung,Juan I Pisula,Kasia Bozek et al.
Jin-On Jung et al.
Background: Oesophagectomy is an operation with a high risk of postoperative complications. The aim of this single-centre retrospective study was to apply machine-learning methods to predict complications (Clavien-Dindo g...
Author response to: Comment on: Structural indicators of quality care for children undergoing emergency abdominal surgery [0.03%]
作者回复：关于“儿科急诊腹部手术质量护理结构指标”的评论答复论文
Andrew M R Selman
Andrew M R Selman