AI Medical Compendium Journal:
International journal of surgery (London, England)

Showing 81 to 90 of 167 articles

3D auto-segmentation of biliary structure of living liver donors using magnetic resonance cholangiopancreatography for enhanced preoperative planning.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: This study aimed to develop an automated segmentation system for biliary structures using a deep learning model, based on data from magnetic resonance cholangiopancreatography (MRCP).
Retrospective Studies Female Adult Male Middle Aged Deep Learning Humans Cholangiopancreatography, Magnetic Resonance Imaging, Three-Dimensional Liver Living Donors Liver Transplantation Preoperative Care
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Predicting operative time for metabolic and bariatric surgery using machine learning models: a retrospective observational study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Predicting operative time is essential for scheduling surgery and managing the operating room. This study aimed to develop machine learning (ML) models to predict the operative time for metabolic and bariatric surgery (MBS) and to compare...
Operative Time Bariatric Surgery Male Middle Aged Humans Machine Learning Retrospective Studies Female Adult
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Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
Child, Preschool Child ROC Curve Postoperative Complications Infant Pneumonia Cardiac Surgical Procedures Heart Defects, Congenital Machine Learning Retrospective Studies Female Infant, Newborn Male Risk Assessment Humans
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Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Colorectal cancer is the third most commonly diagnosed malignancy and the second leading cause of mortality worldwide. A positive resection margin following surgery for colorectal cancer is linked with higher rates of local recurrence and...
Humans Neural Networks, Computer Machine Learning Male Middle Aged Spectrum Analysis Margins of Excision Aged Aged, 80 and over Colorectal Neoplasms Prospective Studies Female
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A radiogenomic multimodal and whole-transcriptome sequencing for preoperative prediction of axillary lymph node metastasis and drug therapeutic response in breast cancer: a retrospective, machine learning and international multicohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Axillary lymph nodes (ALN) status serves as a crucial prognostic indicator in breast cancer (BC). The aim of this study was to construct a radiogenomic multimodal model, based on machine learning and whole-transcriptome sequencing (WTS), ...
Aged Adult Breast Neoplasms Humans Retrospective Studies Machine Learning Female Lymph Nodes Lymphatic Metastasis Axilla Middle Aged Gene Expression Profiling Transcriptome
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A commentary on 'Intelligent cataract surgery supervision and evaluation via deep learning'.

International journal of surgery (London, England) Mar 1, 2024
Cataract Humans Deep Learning Cataract Extraction
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Artificial intelligence-based diagnosis of standard endoscopic ultrasonography scanning sites in the biliopancreatic system: a multicenter retrospective study.

International journal of surgery (London, England) Mar 1, 2024
BACKGROUND: There are challenges for beginners to identify standard biliopancreatic system anatomical sites on endoscopic ultrasonography (EUS) images. Therefore, the authors aimed to develop a convolutional neural network (CNN)-based model to identi...
Sensitivity and Specificity Humans Endosonography Neural Networks, Computer Artificial Intelligence Retrospective Studies
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Enhancing precision and efficiency: harnessing robotics and artificial intelligence for endoscopic and surgical advancements.

International journal of surgery (London, England) Feb 1, 2024
Endoscopy Humans Robotics Artificial Intelligence
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AI-enabled ChatGPT or LLM: a new algorithm is required for plagiarism-free scientific writing.

International journal of surgery (London, England) Feb 1, 2024
Artificial Intelligence Humans
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Robot-assisted abdominal surgery in children less than 5 months of age: retrospective cohort study.

International journal of surgery (London, England) Feb 1, 2024
BACKGROUND: Robot-assisted surgery is increasingly used in children. While robot-assisted surgery in children has been proved to be safe and feasible, use in infants is controversial. The purpose of this study was to present a study of robot-assisted...
Robotic Surgical Procedures Humans Choledochal Cyst Robotics Retrospective Studies Infant Hirschsprung Disease Laparoscopy Child Treatment Outcome
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