Gastroenterology

ASO Author Reflections: Deep-Learning Radiomics Nomogram Based on Enhanced CT to Predict the Effect of Neoadjuvant Chemotherapy on Metastatic Lymph Nodes in Locally Advanced Gastric Cancer.

CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm.

Pancreatic cancer (PC) is a very lethal disease with a low survival rate, making timely and accurate...

Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.

BACKGROUND: We aimed to construct and validate a deep learning (DL) radiomics nomogram using baselin...

Robotic mesh rectopexy for rectal prolapse: The Geneva technique-A video vignette.

Learning curve for robotic rectal cancer resection at a community-based teaching institution.

The surgical management of rectal cancer is shifting toward more widespread use of robotics across a...

A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+.

OBJECTIVE: Radiomic and deep learning studies based on magnetic resonance imaging (MRI) of liver tum...

Predicting multiple linear stapler firings in double stapling technique with an MRI-based deep-learning model.

Multiple linear stapler firings is a risk factor for anastomotic leakage (AL) in laparoscopic low an...

A hybrid machine learning feature selection model-HMLFSM to enhance gene classification applied to multiple colon cancers dataset.

Colon cancer is a significant global health problem, and early detection is critical for improving s...

Deep Learning Framework for Liver Segmentation from -Weighted MRI Images.

The human liver exhibits variable characteristics and anatomical information, which is often ambiguo...

Integration of Deep Learning and Sequential Metabolism to Rapidly Screen Dipeptidyl Peptidase (DPP)-IV Inhibitors from .

Traditional Chinese medicine (TCM) possesses unique advantages in the management of blood glucose an...

Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study.

Accurate tumor identification during surgical excision is necessary for neurosurgeons to determine t...

An uncertainty aided framework for learning based livermapping and analysis.

. QuantitativeT1ρimaging has potential for assessment of biochemical alterations of liver pathologie...

Robotic versus open surgery for simultaneous resection of rectal cancer and liver metastases: a randomized controlled trial.

OBJECTIVE: This study aimed to compare the short-term and long-term outcomes between robotic-assiste...

Robot-Assisted Extraperitoneal Radical Prostatectomy for Giant Multilocular Prostatic Cystadenoma: A Case Report and Literature Review.

A 48-year-old man with a medical history of hypertension and no family history of prostate cancer pr...

Curcumin Modulates NOX Gene Expression and ROS Production via P-Smad3C in TGF-β-Activated Hepatic Stellate Cells.

BACKGROUND: Liver fibrosis, associated with hepatic stellate cells (HSCs), occurs when a healthy liv...

An intronic genetic variant of ZHX2 predicts response to pegylated interferon α therapy in HBeAg-positive chronic hepatitis B patients.

ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...

Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.

BACKGROUND: The metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly microvascu...

Methotrexate-induced hepatotoxicity in rats and the therapeutic properties of vitamin E: a histopathologic and flowcytometric research.

AIM OF THE STUDY: Methotrexate (MTX) causes oxidative stress-related liver damage. Our objective was...

Exploring novel ANGICon-EIPs through ameliorated peptidomics techniques: Can deep learning strategies as a core breakthrough in peptide structure and function prediction?

Dairy-derived angiotensin-I-converting enzyme inhibitory peptides (ANGICon-EIPs) have been regarded ...

Developing and scaling up captopril-loaded electrospun ethyl cellulose fibers for sustained-release floating drug delivery.

In this work ethyl cellulose (EC) was used as the matrix polymer and loaded with captopril, with the...

Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.

OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with ster...