Medical Digest
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医学研究趋势

AI精选本周最具影响力的29个专科论文

最后更新: 2026年7月28日

消化内科5

影响力 1

Integrative analysis of lactylation patterns reveals prognostic biomarkers and therapeutic targets in pancreatic cancer.

发表日期: 2026-07-28

Cancer letters

Medical Digest 收录日: 2026-07-29

(Summary generation failed. Please refer to the original article.)

在PubMed上阅读
影响力 2

Effects of Malnutrition on In-Hospital and Discharge Outcomes Among Young Adults Hospitalized with Gastrointestinal Cancers: National Estimates from the United States.

发表日期: 2026-07-27

Journal of gastrointestinal cancer

Medical Digest 收录日: 2026-07-29

This study found that protein-energy malnutrition (PEM) affects one in five hospitalizations among young adults with gastrointestinal cancers. PEM was associated with higher in-hospital mortality, longer hospital stays, and increased hospital charges. Adjusted analyses showed PEM was independentl...

在PubMed上阅读
影响力 2

Transfer learning prediction of 2-year native liver survival in biliary atresia following Kasai portoenterostomy using early perioperative biochemical data up to 3 months postoperatively.

发表日期: 2026-07-27

Pediatric surgery international

Medical Digest 收录日: 2026-07-29

This study evaluated the use of machine learning models to predict 2-year native liver survival (NLS) in biliary atresia (BA) patients following Kasai portoenterostomy (KPE). Data from 154 BA patients were analyzed using traditional machine learning algorithms, with the random forest model showin...

在PubMed上阅读
影响力 2

Robotic surgery in the application of gallstones and related diseases: a 26-year bibliometric analysis and emerging research trends.

发表日期: 2026-07-27

Journal of robotic surgery

Medical Digest 收录日: 2026-07-28

This bibliometric analysis of 126 papers on robotic cholecystectomy for gallstone disease reveals a growing trend in research output, particularly after 2021. The United States leads in research productivity, with a significant shift in focus from conventional laparoscopic management to robotic s...

在PubMed上阅读
影响力 2

BMSNet: a boundary-guided multi-scale polyp segmentation network.

发表日期: 2026-07-27

Biomedical physics & engineering express

Medical Digest 收录日: 2026-07-28

This study introduces BMSNet, a boundary-guided multi-scale network for accurate polyp segmentation in colonoscopy images. The method uses a Scale-Aware Modulation Meets Transformer-T backbone and includes a boundary prediction module and a boundary-guided feature enhancement module. BMSNet achie...

在PubMed上阅读

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