AIMC Topic: Retrospective Studies

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Artificial intelligence-based automated surgical workflow recognition in esophageal endoscopic submucosal dissection: an international multicenter study (with video).

Surgical endoscopy Mar 12, 2025
BACKGROUND: Endoscopic submucosal dissection (ESD) is a crucial yet challenging multi-phase procedure for treating early gastrointestinal cancers. This study developed an artificial intelligence (AI)-based automated surgical workflow recognition mode...
Retrospective Studies Female Male Clinical Competence Video Recording Endoscopic Mucosal Resection Workflow Esophageal Neoplasms Humans Artificial Intelligence
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Do Treatment Choices by Artificial Intelligence Correspond to Reality? Retrospective Comparative Research with Necrotizing Enterocolitis as a Use Case.

Medical decision making : an international journal of the Society for Medical Decision Making Mar 12, 2025
BackgroundIn cases of surgical necrotizing enterocolitis (NEC), the choice between laparotomy (LAP) or comfort care (CC) presents a complex, ethical dilemma. A behavioral artificial intelligence technology (BAIT) decision aid was trained on expert kn...
Female Infant, Newborn Male Infant, Premature Artificial Intelligence Decision Support Techniques Retrospective Studies Clinical Decision-Making Laparotomy Enterocolitis, Necrotizing Humans
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An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 12, 2025
BACKGROUND: Programmed death ligand 1 (PD-L1) expression status, closely related to immunotherapy outcomes, is a reliable biomarker for screening patients who may benefit from immunotherapy. Here, we developed and validated an interpretable machine l...
Stomach Neoplasms Radiomics Biomarkers, Tumor Tomography, X-Ray Computed Male Humans Middle Aged Female B7-H1 Antigen Machine Learning Aged Retrospective Studies Adult
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Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients.

BMC cancer Mar 12, 2025
BACKGROUND: Early and accurate identification of epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients with brain metastases is critical for guiding targeted therapy. This study aimed to develop a deep...
Humans Retrospective Studies Female Lung Neoplasms Magnetic Resonance Imaging Mutation Male ErbB Receptors Adenocarcinoma of Lung Middle Aged Aged Adult Deep Learning Radiomics ROC Curve Brain Neoplasms
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Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study.

Scientific reports Mar 12, 2025
Patients with multiple comorbidities and those undergoing complex cardiac surgery may experience extubation failure and reintubation. The aim of this study was to establish an extubation prediction model using explainable machine learning and identif...
Cardiac Surgical Procedures Airway Extubation Female Aged Male Middle Aged Machine Learning Algorithms Retrospective Studies Humans
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Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Scientific reports Mar 12, 2025
Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated the feasibility of a deep learning-based automatic quantification ...
Humans Retrospective Studies Female Aged Aged, 80 and over Calcinosis Aortic Valve Stenosis Aortic Valve Coronary Angiography Computed Tomography Angiography Male Middle Aged Deep Learning Contrast Media
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Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning.

Journal of infection and public health Mar 11, 2025
BACKGROUND: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negative individuals is increasing. In HIV-negative individuals, talaromycosis is usually misdiagnosed as another disease, especially tuberculosis (TB).
ROC Curve Diagnosis, Differential Mycoses Aged Humans Early Diagnosis Tuberculosis Tuberculosis, Pulmonary Adult HIV Seronegativity Machine Learning Talaromyces Male Retrospective Studies Middle Aged Female
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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Angioplasty Female Reproducibility of Results Risk Factors Aged Machine Learning Decision Support Techniques Glomerular Filtration Rate Male Humans Retrospective Studies Middle Aged Contrast Media Lower Extremity Acute Kidney Injury Risk Assessment Peripheral Arterial Disease Treatment Outcome Predictive Value of Tests
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Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors.

BMC musculoskeletal disorders Mar 11, 2025
BACKGROUND: Periprosthetic joint infection leads to significant morbidity and mortality after total knee arthroplasty. Preoperative and perioperative risk prediction and assessment tools are lacking in Asia. This study developed the first machine lea...
Retrospective Studies Female Risk Factors Aged Male Humans Machine Learning Knee Prosthesis Middle Aged Prosthesis-Related Infections Risk Assessment Arthroplasty, Replacement, Knee Preoperative Period
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Individual and integrated indexes of inflammation predicting the risks of mental disorders - statistical analysis and artificial neural network.

BMC psychiatry Mar 11, 2025
OBJECTIVE: The prevalence of mental illness in Taiwan increased. Identifying and mitigating risk factors for mental illness is essential. Inflammation may be a risk factor for mental illness; however, the predictive power of inflammation test values ...
Inflammation Mental Disorders Longitudinal Studies Biomarkers Taiwan Humans Retrospective Studies Male C-Reactive Protein Risk Factors Neural Networks, Computer Female Middle Aged Adult Risk Assessment
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