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

Showing 1 to 10 of 167 articles

AutoFRS: an externally validated, annotation-free approach to computational preoperative complication risk stratification in pancreatic surgery - an experimental study.

International journal of surgery (London, England) May 12, 2025
BACKGROUND: The risk of postoperative pancreatic fistula (POPF), one of the most dreaded complications after pancreatic surgery, can be predicted from preoperative imaging and tabular clinical routine data. However, existing studies suffer from limit...
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Development and validation of a machine learning-based risk model for metastatic disease in nmCRPC patients: a tumor marker prognostic study.

International journal of surgery (London, England) May 1, 2025
BACKGROUND: Nonmetastatic castration-resistant prostate cancer (nmCRPC) is a clinical challenge due to the high progression rate to metastasis and mortality. To date, no prognostic model has been developed to predict the metastatic probability for nm...
Aged Biomarkers, Tumor Male Machine Learning Prognosis Risk Factors Prostatic Neoplasms, Castration-Resistant Middle Aged Risk Assessment Neoplasm Metastasis Humans
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A deep learning-based clinical-radiomics model predicting the treatment response of immune checkpoint inhibitors (ICIs)-based conversion therapy in potentially convertible hepatocelluar carcinoma patients: a tumor marker prognostic study.

International journal of surgery (London, England) May 1, 2025
BACKGROUND: The majority of patients with hepatocellular carcinoma (HCC) miss the opportunity of radical resection, making immune check-point inhibitors (ICIs)-based conversion therapy a primary option. However, challenges persist in predicting respo...
Humans Prognosis Middle Aged Deep Learning Liver Neoplasms Radiomics Carcinoma, Hepatocellular Biomarkers, Tumor Tomography, X-Ray Computed Immune Checkpoint Inhibitors Male Female Treatment Outcome Aged
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Utilizing explainable machine learning for progression-free survival prediction in high-grade serous ovarian cancer: insights from a prospective cohort study.

International journal of surgery (London, England) May 1, 2025
BACKGROUND: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecological malignancies, with over 70% of ovarian cancer patients ultimately experiencing disease progression. The current prognostic tools for progression-fr...
Prognosis Female Aged Humans Machine Learning Prospective Studies Neoplasm Grading Adult Progression-Free Survival Middle Aged Cystadenocarcinoma, Serous Ovarian Neoplasms
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The AI-enhanced surgeon - integrating black-box artificial intelligence in the operating room.

International journal of surgery (London, England) Apr 1, 2025
New artificial intelligence (AI)/machine learning (ML) technology offers great potential to assist surgeons with real-time intra-operative decision-making. While, AI/ML-driven analysis tools for surgeons currently focus primarily on technical assista...
Operating Rooms Humans Artificial Intelligence Machine Learning Clinical Decision-Making Surgeons
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Development, validation, and clinical evaluation of a machine-learning based model for diagnosing early infection after cardiovascular surgery (DEICS): a multi-center cohort study.

International journal of surgery (London, England) Apr 1, 2025
BACKGROUND: This study addresses the critical need for timely and accurate diagnosis of early postoperative infection (EPI) following cardiac surgery. EPI significantly impacts patient outcomes and healthcare costs, making its early detection vital.
Retrospective Studies Female Aged Cohort Studies Humans Cardiac Surgical Procedures Machine Learning Surgical Wound Infection Male Middle Aged Postoperative Complications Early Diagnosis
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Multiparametric MRI and transfer learning for predicting positive margins in breast-conserving surgery: a multi-center study.

International journal of surgery (London, England) Apr 1, 2025
This study aimed to predict positive surgical margins in breast-conserving surgery (BCS) using multiparametric MRI (mpMRI) and radiomics. A retrospective analysis was conducted on data from 444 BCS patients from three Chinese hospitals between 2019 a...
Adult Breast Neoplasms Middle Aged Retrospective Studies Margins of Excision Female Mastectomy, Segmental Aged Multiparametric Magnetic Resonance Imaging Humans Machine Learning
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Construction of an artificially intelligent model for accurate detection of HCC by integrating clinical, radiological, and peripheral immunological features.

International journal of surgery (London, England) Apr 1, 2025
BACKGROUND: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multimodal features (MMF) using artificial intelligence (AI) approaches to enhance the p...
Adult Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Early Detection of Cancer Humans Artificial Intelligence Prospective Studies Algorithms Female Aged
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Artificial intelligence predicts multiclass molecular signatures and subtypes directly from breast cancer histology: a multicenter retrospective study.

International journal of surgery (London, England) Apr 1, 2025
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes direct...
Female Breast Neoplasms Biomarkers, Tumor Middle Aged Deep Learning Humans Algorithms Artificial Intelligence Prognosis Retrospective Studies
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AI-driven evidence synthesis: data extraction of randomized controlled trials with large language models.

International journal of surgery (London, England) Mar 1, 2025
The advancement of large language models (LLMs) presents promising opportunities to enhance evidence synthesis efficiency, particularly in data extraction processes, yet existing prompts for data extraction remain limited, focusing primarily on commo...
Large Language Models Language Humans Randomized Controlled Trials as Topic Artificial Intelligence Information Storage and Retrieval
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