AIMC Topic: Retrospective Studies

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An early prediction model for gestational diabetes mellitus created using machine learning algorithms.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Mar 4, 2025
OBJECTIVE: To investigate high-risk factors for gestational diabetes mellitus (GDM) in early pregnancy through an analysis of demographic and clinical data, and to develops a machine-learning-based prediction model to enhance early diagnosis and inte...
Machine Learning Algorithms Retrospective Studies Pregnancy Female Humans ROC Curve Body Mass Index Predictive Value of Tests Diabetes, Gestational Early Diagnosis Risk Factors Young Adult Adult Risk Assessment
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Decision Support Techniques Databases, Factual Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Humans Machine Learning
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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Humans Machine Learning Male Middle Aged Risk Assessment Liver Neoplasms Laparoscopy Retrospective Studies Female Risk Factors Aged Hepatectomy Reoperation Conversion to Open Surgery
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Immunotherapy Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Humans Randomized Controlled Trials as Topic Paclitaxel Machine Learning Biomarkers, Tumor Mutation Retrospective Studies Liquid Biopsy Male Female Clinical Trials, Phase III as Topic Middle Aged Aged Bevacizumab Lung Neoplasms
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Deep Learning-Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time.

AJNR. American journal of neuroradiology Mar 4, 2025
BACKGROUND AND PURPOSE: ASPECTS is a long-standing and well-documented selection criterion for acute ischemic stroke treatment; however, the interpretation of ASPECTS is a challenging and time-consuming task for physicians with notable interobserver ...
Radiographic Image Interpretation, Computer-Assisted Observer Variation Computed Tomography Angiography Humans Retrospective Studies Algorithms Reproducibility of Results Deep Learning Ischemic Stroke
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CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia.

Academic radiology Mar 3, 2025
RATIONALE AND OBJECTIVES: This study aimed to compare CT features of COVID-19 and Influenza A pneumonia, develop a diagnostic differential model, and explore a prognostic model for lesion resolution.
Nomograms Diagnosis, Differential Influenza, Human Female Machine Learning SARS-CoV-2 COVID-19 Aged Humans Prognosis Aged, 80 and over Adult Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Lung Influenza A virus
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Risk Assessment Postoperative Complications Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Female Humans Risk Factors Machine Learning Aged Databases, Factual Aged, 80 and over Retrospective Studies Male
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Machine Learning-Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study.

Journal of medical Internet research Mar 3, 2025
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction surgery. It is important to identify the risk of postoperative early complications for patients with intestinal obstruction at a sufficiently early s...
Middle Aged Postoperative Complications ROC Curve Risk Factors Intestinal Obstruction Aged Humans Adult Machine Learning Male Retrospective Studies Female
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol.

World journal of emergency surgery : WJES Mar 3, 2025
BACKGROUND: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challenges due to its potential for relapse. Current guidelines advocate for early cholecystectomy (EC) during the same hospital admission to prevent recurr...
Acute Disease Italy Recurrence Pancreatitis Adult Humans Male Machine Learning Risk Assessment Prospective Studies Deep Learning Retrospective Studies Female
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty - a development and validation study.

BMC medical informatics and decision making Mar 3, 2025
BACKGROUND: Duration of surgery (DOS) varies substantially for patients with hip and knee arthroplasty (HA/KA) and is a major risk factor for adverse events. We therefore aimed (1) to identify whether machine learning can predict DOS in HA/KA patient...
Machine Learning Retrospective Studies Female Aged Male Middle Aged Time Factors Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Humans
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