AIMC Topic: Retrospective Studies

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Estimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features.

BMC cancer Jan 9, 2025
OBJECTIVES: To construct a prediction model based on deep learning (DL) and radiomics features of diffusion weighted imaging (DWI), and clinical variables for evaluating TP53 mutations in endometrial cancer (EC).
Radiomics Middle Aged Deep Learning ROC Curve Mutation Tumor Suppressor Protein p53 Endometrial Neoplasms Diffusion Magnetic Resonance Imaging Algorithms Retrospective Studies Humans Female Aged Adult
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Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma.

Scientific reports Jan 9, 2025
This study aimed to develop and validate machine learning (ML) models to predict the occurrence of delayed hyponatremia after transsphenoidal surgery for pituitary adenoma. We retrospectively collected clinical data on patients with pituitary adenoma...
Humans Machine Learning ROC Curve Pituitary Neoplasms Aged Adenoma Algorithms Adult Hyponatremia Prospective Studies Male Retrospective Studies Middle Aged Female Postoperative Complications
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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study.

Acta orthopaedica Jan 9, 2025
BACKGROUND AND PURPOSE:  Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. The use of artificial intelligence (AI) in fracture detection has shown promise, but research ...
Sensitivity and Specificity Fractures, Bone Radiography Finger Phalanges Metacarpal Bones Humans Neural Networks, Computer Retrospective Studies
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Aged Aged, 80 and over Male Ventricular Function, Left Stroke Volume Humans Artificial Intelligence Atrial Function, Left Retrospective Studies Computed Tomography Angiography Female Transcatheter Aortic Valve Replacement Risk Assessment Risk Factors Aortic Valve Severity of Illness Index Predictive Value of Tests Time Factors Coronary Angiography Treatment Outcome Radiographic Image Interpretation, Computer-Assisted Aortic Valve Stenosis Automation
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The effect of renal function on the clinical outcomes and management of patients hospitalized with hyperglycemic crises.

Frontiers in endocrinology Jan 9, 2025
BACKGROUND: The global prevalence of diabetes has been rising rapidly in recent years, leading to an increase in patients experiencing hyperglycemic crises like diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS). Patients with imp...
Insulin Aged Humans Diabetic Ketoacidosis Adult Treatment Outcome Kidney Retrospective Studies Male Glomerular Filtration Rate Hyperglycemia Female Kidney Function Tests Hypoglycemic Agents Middle Aged Hospitalization Renal Insufficiency, Chronic Saudi Arabia
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Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.

The American journal of clinical nutrition Jan 8, 2025
BACKGROUND: Cachexia is associated with multiple adverse outcomes in cancer. However, clinical decision-making for oncology patients at the cachexia stage presents significant challenges.
Body Weight Cachexia Male Middle Aged Humans Neoplasms Cohort Studies Machine Learning Retrospective Studies Female Aged Adult
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CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients.

AJR. American journal of roentgenology Jan 8, 2025
CT-based abdominal body composition measures have shown associations with important health outcomes. Advances in artificial intelligence (AI) now allow deployment of tools that measure body composition in large patient populations. The purpose of t...
Body Composition Aged Adult Male Middle Aged Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female
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Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models From the 2022 RSNA Cervical Spine Fracture AI Challenge.

AJR. American journal of roentgenology Jan 8, 2025
Available data on radiologists' missed cervical spine fractures are based primarily on studies using human reviewers to identify errors on reevaluation; such studies do not capture the full extent of missed fractures. The purpose of this study was ...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Middle Aged Radiologists Cervical Vertebrae Spinal Fractures Missed Diagnosis Female Aged Adult Diagnostic Errors Male
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Artificial Intelligence Models May Aid in Predicting Lymph Node Metastasis in Patients with T1 Colorectal Cancer.

Gut and liver Jan 8, 2025
BACKGROUND/AIMS: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surgery following endoscopic resection of T1 colorectal cancer (CRC). We aimed to validate the usefulness of artificial intelligence (AI) models for predict...
Humans ROC Curve Lymph Nodes Lymphatic Metastasis Predictive Value of Tests Aged Neoplasm Staging Aged, 80 and over Colorectal Neoplasms Male Middle Aged Artificial Intelligence Algorithms Retrospective Studies Female
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Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis.

Cardiovascular diabetology Jan 8, 2025
Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is a novel metric for accurately assessing stress hyperglycemia, which has been correlated with adverse outcomes in various major diseases. H...
Risk Factors Aged Aged, 80 and over Male Middle Aged Prognosis Retrospective Studies Intensive Care Units Female Predictive Value of Tests Cause of Death Heart Failure Patient Admission Risk Assessment Blood Glucose Time Factors Hyperglycemia Chronic Disease Humans Machine Learning Decision Support Techniques Databases, Factual Biomarkers
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