AIMC Topic: Retrospective Studies

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Artificial intelligence-based multimodal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study.

International journal of surgery (London, England) Mar 28, 2025
BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade is crucial for the management and treatment of clear cell renal cell carcinoma (ccRCC). This study aimed to explore the value of using integrated mul...
Male Middle Aged Neoplasm Grading Kidney Neoplasms Carcinoma, Renal Cell Female Aged Aged, 80 and over Adult Humans Artificial Intelligence Prognosis Retrospective Studies Tomography, X-Ray Computed
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Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

BMC medical informatics and decision making Mar 28, 2025
BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH using four various artificial ...
Female Aged Aged, 80 and over Adult Male Artificial Intelligence Machine Learning Retrospective Studies Intensive Care Units Middle Aged Cerebral Hemorrhage Humans
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A deep learning model for classification of chondroid tumors on CT images.

BMC cancer Mar 28, 2025
BACKGROUND: Differentiating chondroid tumors is crucial for proper patient management. This study aimed to develop a deep learning model (DLM) for classifying enchondromas, atypical cartilaginous tumors (ACT), and high-grade chondrosarcomas using CT ...
Female Chondroma Aged Deep Learning Adult Humans Bone Neoplasms Male Retrospective Studies Diagnosis, Differential Middle Aged Tomography, X-Ray Computed Chondrosarcoma
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Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.

BMC cancer Mar 28, 2025
BACKGROUND: Distinguishing between benign and malignant testicular lesions on clinical magnetic resonance imaging (MRI) is crucial for guiding treatment planning. However, conventional MRI-based radiomics to identify testicular cancer requires expert...
Aged Young Adult Adult Radiomics Male Middle Aged Adolescent ROC Curve Testicular Neoplasms Magnetic Resonance Imaging Humans Machine Learning Algorithms Retrospective Studies
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F-FDG PET radiomics score construction by automatic machine learning for treatment response prediction in elderly patients with diffuse large B-cell lymphoma: a multicenter study.

Journal of cancer research and clinical oncology Mar 28, 2025
PURPOSE: To explore the development and validation of automated machine learning (AutoML) models for F-FDG PET imaging-based radiomics signatures to predict treatment response in elderly patients with diffuse large B-cell lymphoma (DLBCL).
Rituximab Vincristine Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Radiopharmaceuticals Positron-Emission Tomography Cyclophosphamide Fluorodeoxyglucose F18 Prednisone Female Aged Aged, 80 and over Radiomics Lymphoma, Large B-Cell, Diffuse Humans Machine Learning Prognosis Retrospective Studies
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A prediction model based on machine learning: prognosis of HBV-induced HCC male patients with smoking and drinking habits after local ablation treatment.

Frontiers in immunology Mar 28, 2025
BACKGROUND: Liver cancer, particularly hepatocellular carcinoma (HCC), is a major health concern globally and in China, possibly shows recurrence after ablation treatment in high-risk patients. This study investigates the prognosis of early-stage mal...
China Risk Factors Nomograms Humans Hepatitis B, Chronic Aged Machine Learning Smoking Liver Neoplasms Adult Prognosis Alcohol Drinking Carcinoma, Hepatocellular Male Retrospective Studies Hepatitis B virus Middle Aged
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External validation of a machine learning prediction model for massive blood loss during surgery for spinal metastases: a multi-institutional study using 880 patients.

The spine journal : official journal of the North American Spine Society Mar 27, 2025
BACKGROUND CONTEXT: A machine learning (ML) model was recently developed to predict massive intraoperative blood loss (>2,500 mL) during posterior decompressive surgery for spinal metastasis that performed well on external validation within the same ...
Male Middle Aged Blood Loss, Surgical Spinal Neoplasms Decompression, Surgical Humans Machine Learning Retrospective Studies Female Aged
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Control of dental calculus Prevents severe Radiation-Induced oral mucositis in patients undergoing radiotherapy for nasopharyngeal carcinoma.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 27, 2025
PURPOSE: This study aims to develop an artificial intelligence model to predict severe radiation-induced oral mucositis (RIOM) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) and verify the risk factors associated with severe RIOM...
Radiation Injuries Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Stomatitis Dental Calculus Risk Factors Humans Aged Prospective Studies Adult Retrospective Studies Male Female Middle Aged
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Machine Learning Models predicting Decompensation in Cirrhosis.

Journal of gastrointestinal and liver diseases : JGLD Mar 27, 2025
BACKGROUND AND AIMS: Decompensation of cirrhosis significantly decreases survival, thus, prevention of complications is paramount. We used machine learning techniques to identify parameters predicting decompensation.
Risk Factors Aged Male Middle Aged Risk Assessment Liver Cirrhosis Support Vector Machine Predictive Value of Tests Bilirubin Prospective Studies Proof of Concept Study Humans Biomarkers Machine Learning Prognosis Decision Support Techniques Retrospective Studies Databases, Factual Female
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Enhancing prediction and stratifying risk: machine learning and bayesian-learning models for catheter-related thrombosis in chemotherapy patients.

BMC cancer Mar 27, 2025
BACKGROUND: Catheter-related thrombosis (CRT) is a serious complication in cancer patients undergoing chemotherapy, yet existing risk prediction models demonstrate limited accuracy. This study aimed to evaluate the clinical utility of machine learnin...
Retrospective Studies Female Risk Factors Aged Adult Humans Machine Learning Catheterization, Central Venous Bayes Theorem Central Venous Catheters Thrombosis Proportional Hazards Models Breast Neoplasms Middle Aged Risk Assessment Antineoplastic Agents ROC Curve
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