Zhonghua wai ke za zhi [Chinese journal of surgery]
May 27, 2026
Postoperative pancreatic fistula (POPF) is a severe complication following pancreaticoduodenectomy,among which clinically relevant postoperative pancreatic fistula has garnered substantial attention due to its high incidence (10% to 25%) and fatal co... read more
OBJECTIVES: The presence of metallic restorations introduces severe artifacts that compromise diagnostic accuracy of cone beam computed tomography (CBCT) images. This systematic review aims to evaluate the effectiveness of artificial intelligence (AI... read more
Phosphoanhydride hydrolysis is a central reaction in biochemistry, powering processes from biosynthesis to molecular motors. Yet, its solution mechanism and the molecular origins of the catalytic effects of protonation and magnesium ions remain elusi... read more
Deep learning techniques have shown significant promise for the automated diagnosis of CVD using ECG analysis. Nevertheless, several critical challenges persist with current approaches: severe class imbalance, intricate temporal dependencies, and poo... read more
Surface flashover at gas-solid interfaces is a critical factor in electromagnetic pulse simulator reliability. To accurately predict flashover events over a wide surface distance range (15-500 mm), this paper develops a machine-learning-based classif... read more
Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) status in colorectal cancer (CRC) is pivotal for precision therapy, yet the gigapixel resolution of Whole Slide Images (WSIs) presents a significant computational bottleneck for t... read more
In low- and middle-income nations, abortion ranks among the top five causes of maternal mortality. It is associated to a pregnancy and childbirth-related complications. Despite this, there are few scientific researches focusing on predicting abortion... read more
Understanding how urban morphology is associated with urban vitality is important for sustainable urban regeneration, yet conventional density-based indicators often fail to capture cross-scale heterogeneity in three-dimensional urban form. This stud... read more
This study presents a verifiable framework for high-fidelity colorless image processing by integrating depth-guided chrominance transfer with multi-level feature extraction. To address critical limitations of traditional methods-color inconsistency, ... read more
Plant leaf disease detection is a critical task in precision agriculture, where reliable diagnosis under real-world conditions is essential for reducing crop losses and supporting timely intervention. Although deep learning models have achieved high ... read more
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