AIMC Topic: Male

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Unsupervised machine learning to identify subphenotypes among cardiac intensive care unit patients with heart failure.

ESC heart failure Aug 19, 2024
AIMS: Hospitalized patients with heart failure (HF) are a heterogeneous population, with multiple phenotypes proposed. Prior studies have not examined the biological phenotypes of critically ill patients with HF admitted to the contemporary cardiac i...
Heart Failure Coronary Care Units Middle Aged Hospital Mortality Follow-Up Studies Intensive Care Units Unsupervised Machine Learning Female Aged Humans Survival Rate Phenotype Male Retrospective Studies
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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Journal of clinical monitoring and computing Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Blood Pressure Area Under Curve Hypotension Intraoperative Complications Consciousness Monitors ROC Curve Photoplethysmography Electrocardiography Blood Pressure Determination Blood Pressure Monitors Capnography Databases, Factual Female Reproducibility of Results Aged Adult Male Middle Aged Deep Learning Monitoring, Intraoperative Humans Artificial Intelligence Algorithms
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Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms.

Annals of medicine Aug 19, 2024
BACKGROUND: To construct and evaluate a predictive model for in-hospital mortality among critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT), based on nine machine learning (ML) algorithm.
Algorithms Retrospective Studies Continuous Renal Replacement Therapy Acute Kidney Injury Critical Illness Humans Machine Learning United States Intensive Care Units Middle Aged Female Risk Assessment Aged Hospital Mortality Male ROC Curve Nomograms
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Machine learning to predict completion of treatment for pancreatic cancer.

Journal of surgical oncology Aug 19, 2024
BACKGROUND: Chemotherapy enhances survival rates for pancreatic cancer (PC) patients postsurgery, yet less than 60% complete adjuvant therapy, with a smaller fraction undergoing neoadjuvant treatment. Our study aimed to predict which patients would c...
Chemotherapy, Adjuvant Humans Middle Aged Machine Learning Neoadjuvant Therapy Prognosis Pancreatic Neoplasms Pancreatectomy Retrospective Studies Female Aged Aged, 80 and over Male
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Commentary on Machine Learning to Predict Prostate Artery Embolization Outcomes? Patient Selection for Prostatic Artery Embolization: Why it Matters.

Cardiovascular and interventional radiology Aug 19, 2024
Prostatic Hyperplasia Prostate Patient Selection Embolization, Therapeutic Humans Machine Learning Male Treatment Outcome
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Development and internal validation of an artificial intelligence-assisted bowel sounds auscultation system to predict early enteral nutrition-associated diarrhoea in acute pancreatitis: a prospective observational study.

British journal of hospital medicine (London, England : 2005) Aug 19, 2024
An artificial intelligence-assisted prediction model for enteral nutrition-associated diarrhoea (ENAD) in acute pancreatitis (AP) was developed utilising data obtained from bowel sounds auscultation. This model underwent validation through a single-...
Diarrhea ROC Curve Predictive Value of Tests Enteral Nutrition Humans Aged Pancreatitis Auscultation Adult Artificial Intelligence Prospective Studies Male Middle Aged Female Risk Factors
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Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study.

BMC medical informatics and decision making Aug 19, 2024
BACKGROUND: Patients with airway stenosis (AS) are associated with considerable morbidity and mortality after lung transplantation (LTx). This study aims to develop and validate machine learning (ML) models to predict AS requiring clinical interventi...
Female Risk Factors Adult Male Middle Aged Postoperative Complications Case-Control Studies Constriction, Pathologic Lung Transplantation Humans Machine Learning Retrospective Studies
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Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences.

Scientific reports Aug 19, 2024
The aim of this study was to develop a medical imaging and comprehensive stacked learning-based method for predicting high- and low-risk thymoma. A total of 126 patients with thymomas and 5 patients with thymic carcinoma treated at our institution, i...
Thymus Neoplasms Middle Aged Risk Assessment Nomograms Thymoma Machine Learning Female Humans Algorithms Aged Retrospective Studies Adult Tomography, X-Ray Computed Radiomics Male
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An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.

Biomedical physics & engineering express Aug 19, 2024
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A key challenge in the quantitative analysis of dFDG-PET is characteriz...
Humans Neural Networks, Computer Algorithms Brain Brain Mapping Female Radiopharmaceuticals Male Positron-Emission Tomography Deep Learning Fluorodeoxyglucose F18 Image Processing, Computer-Assisted Carotid Artery, Internal
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Prediction of Arteriovenous Access Dysfunction by Mel Spectrogram-based Deep Learning Model.

International journal of medical sciences Aug 19, 2024
The early detection of arteriovenous (AV) access dysfunction is crucial for maintaining the patency of vascular access. This study aimed to use deep learning to predict AV access malfunction necessitating further vascular management. This prospecti...
Renal Dialysis ROC Curve Sound Spectrography Aged Arteriovenous Shunt, Surgical Humans Male Neural Networks, Computer Middle Aged Prospective Studies Deep Learning Female
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