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

Showing 71 to 80 of 167 articles

Optimizing surgical efficiency: a critical appraisal of machine learning in forecasting operative duration for metabolic and bariatric procedures.

International journal of surgery (London, England) Jun 1, 2024
Machine Learning Forecasting Operative Time Bariatric Surgery Humans
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Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter study.

International journal of surgery (London, England) May 1, 2024
PURPOSE: The authors aimed to establish an artificial intelligence (AI)-based method for preoperative diagnosis of breast lesions from contrast enhanced mammography (CEM) and to explore its biological mechanism.
Contrast Media Mammography Breast Retrospective Studies Humans Adult Female Artificial Intelligence Breast Neoplasms Aged Middle Aged Deep Learning
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Deep learning-based multi-model prediction for disease-free survival status of patients with clear cell renal cell carcinoma after surgery: a multicenter cohort study.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Although separate analysis of individual factor can somewhat improve the prognostic performance, integration of multimodal information into a single signature is necessary to stratify patients with clear cell renal cell carcinoma (ccRCC) ...
Carcinoma, Renal Cell Nephrectomy Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Deep Learning Female Cohort Studies Aged Disease-Free Survival Male Kidney Neoplasms Middle Aged
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Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PDAC) are frequently overlooked during imaging. The authors aimed to develop and validate a computed tomography (CT)-based deep learning-based radiomics...
Adult Radiomics Male Middle Aged Deep Learning Retrospective Studies Pancreatic Neoplasms Tomography, X-Ray Computed Humans Peritoneal Neoplasms Female Carcinoma, Pancreatic Ductal Aged
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Development of interpretable machine learning models for prediction of acute kidney injury after noncardiac surgery: a retrospective cohort study.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Early identification of patients at high-risk of postoperative acute kidney injury (AKI) can facilitate the development of preventive approaches. This study aimed to develop prediction models for postoperative AKI in noncardiac surgery us...
ROC Curve Surgical Procedures, Operative Risk Factors Aged Adult Algorithms Humans Middle Aged Male Retrospective Studies Machine Learning Risk Assessment Acute Kidney Injury Postoperative Complications Female Cohort Studies
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Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Identification of patients with high-risk of experiencing inability to walk after surgery is important for surgeons to make therapeutic strategies for patients with metastatic spinal disease. However, there is a lack of clinical tool to a...
Aged Adult Male Middle Aged Walking Spinal Neoplasms Artificial Intelligence Machine Learning Female Reproducibility of Results Humans
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A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Muscle invasive bladder cancer (MIBC) has a poor prognosis even after radical cystectomy (RC). Postoperative survival stratification based on radiomics and deep learning (DL) algorithms may be useful for treatment decision-making and foll...
Female Aged Male Middle Aged Prognosis Retrospective Studies Tomography, X-Ray Computed Cystectomy Deep Learning Nomograms Urinary Bladder Neoplasms Neoplasm Invasiveness Humans
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A computed tomography-based multitask deep learning model for predicting tumour stroma ratio and treatment outcomes in patients with colorectal cancer: a multicentre cohort study.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Tumour-stroma interactions, as indicated by tumour-stroma ratio (TSR), offer valuable prognostic stratification information. Current histological assessment of TSR is limited by tissue accessibility and spatial heterogeneity. The authors ...
Humans Prognosis Retrospective Studies Deep Learning Cohort Studies Adult Treatment Outcome Tomography, X-Ray Computed Colorectal Neoplasms Female Male Aged Middle Aged
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Deep learning combining mammography and ultrasound images to predict the malignancy of BI-RADS US 4A lesions in women with dense breasts: a diagnostic study.

International journal of surgery (London, England) May 1, 2024
OBJECTIVES: The authors aimed to assess the performance of a deep learning (DL) model, based on a combination of ultrasound (US) and mammography (MG) images, for predicting malignancy in breast lesions categorized as Breast Imaging Reporting and Data...
Deep Learning ROC Curve Mammography Predictive Value of Tests Sensitivity and Specificity Breast Neoplasms Middle Aged Ultrasonography, Mammary Breast Humans Breast Density Prospective Studies Female Aged Adult
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A commentary on 'The use of multilayer perceptron and radial basis function: an artificial intelligence model to predict progression of oral cancer': correspondence.

International journal of surgery (London, England) Apr 1, 2024
Disease Progression Humans Mouth Neoplasms Neural Networks, Computer Artificial Intelligence
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