Results 181 to 190 of about 293,962 (290)
A Bio-Adaptive Janus-Adhesive Dressing with Dynamic Lubrication Overlayer for Prevention of Postoperative Infection and Adhesion. [PDF]
Gao Y +14 more
europepmc +1 more source
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu +5 more
wiley +1 more source
The Influence of Tranexamic Acid (TXA) on Postoperative Infection Rates Following Total Hip Arthroplasty (THA)-A Systematic Review. [PDF]
Prejbeanu R +6 more
europepmc +1 more source
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi +9 more
wiley +1 more source
Eczema Is Not Associated with an Increased Risk of Postoperative Infection Following Arthroscopic Knee Surgeries: A Retrospective Matched Case-Control Study. [PDF]
Tracey OC +7 more
europepmc +1 more source
Postoperative Burden of Hospital-Acquired Clostridium difficile Infection
Zaid M. Abdelsattar +8 more
openalex +2 more sources
ABSTRACT Aim Bile acids accumulation in hepatocytes causes liver damage and contributes to the development of hepatocellular carcinoma. However, the association between serum bile acid levels and postoperative intrahepatic recurrence in hepatocellular carcinoma remains unclear.
Tomoaki Bekki +9 more
wiley +1 more source
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo +4 more
wiley +1 more source

