의학 연구 트렌드

AI가 선별한 이번 주 29개 전문과의 주요 논문

마지막 업데이트: 2026년 7월 28일

소화기내과5

영향력 1

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

발표일: 2026-07-28

Cancer letters

Medical Digest 수록일: 2026-07-29

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

PubMed에서 읽기
영향력 2

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

발표일: 2026-07-27

Journal of gastrointestinal cancer

Medical Digest 수록일: 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...

PubMed에서 읽기
영향력 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.

발표일: 2026-07-27

Pediatric surgery international

Medical Digest 수록일: 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...

PubMed에서 읽기
영향력 2

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

발표일: 2026-07-27

Journal of robotic surgery

Medical Digest 수록일: 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...

PubMed에서 읽기
영향력 2

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

발표일: 2026-07-27

Biomedical physics & engineering express

Medical Digest 수록일: 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...

PubMed에서 읽기

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