AIMC Topic: Female

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Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.

BMJ paediatrics open Jul 22, 2024
INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learning (ML) modelling could be beneficial. Using routine hospital data, we evaluated the ability of multiple ML models to predict inpatient mortality in a...
ROC Curve Bangladesh Machine Learning Retrospective Studies Intensive Care Units Female Infant Child, Preschool Hospital Mortality Infant, Newborn Male Humans
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Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists' and Clinicians' Perspectives on AI Augmentation and Automation.

Journal of medical Internet research Jul 22, 2024
BACKGROUND: Artificial intelligence (AI) holds immense potential for enhancing clinical and administrative health care tasks. However, slow adoption and implementation challenges highlight the need to consider how humans can effectively collaborate w...
Delphi Technique Critical Care Automation Intensive Care Units Female Male Data Science Humans Artificial Intelligence
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Endobronchial Ultrasound-Based Support Vector Machine Model for Differentiating between Benign and Malignant Mediastinal and Hilar Lymph Nodes.

Respiration; international review of thoracic diseases Jul 22, 2024
INTRODUCTION: The aim of the study was to establish an ultrasonographic radiomics machine learning model based on endobronchial ultrasound (EBUS) to assist in diagnosing benign and malignant mediastinal and hilar lymph nodes (LNs).
Lung Neoplasms Adult Lymph Nodes Male Bronchoscopy Humans Support Vector Machine Middle Aged Diagnosis, Differential Retrospective Studies Lymphatic Metastasis ROC Curve Endosonography Female Mediastinum Aged
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Predicting postoperative visual acuity in epiretinal membrane patients and visualization of the contribution of explanatory variables in a machine learning model.

PloS one Jul 22, 2024
BACKGROUND: The purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate ...
Postoperative Period Vitrectomy Humans Male Epiretinal Membrane Middle Aged Machine Learning Visual Acuity Female Tomography, Optical Coherence Aged
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Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population.

PloS one Jul 22, 2024
Suicide among the older population is a significant public health concern in South Korea. As the older individuals have long considered suicide before committing suicide trials, it is important to analyze the suicidal ideation that precedes the suici...
Socioeconomic Factors Health Status Middle Aged Suicide, Attempted Suicidal Ideation Logistic Models Aged Aged, 80 and over Mental Health Male Machine Learning Algorithms Republic of Korea Humans Female Risk Factors
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Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jul 21, 2024
PURPOSE: To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging (T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo T2WI with DLIR for evaluating pancreatic protocol.
Aged, 80 and over Male Middle Aged Deep Learning Humans Retrospective Studies Female Aged Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreas Signal-To-Noise Ratio Gadolinium DTPA Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Adipose Tissue
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Machine learning-based prediction of vancomycin concentration after abdominal administration in patients with peritoneal dialysis-related peritonitis.

Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy Jul 21, 2024
INTRODUCTION: Peritonitis is a serious complication of peritoneal dialysis (PD), in which insufficient control of antibacterial drug concentrations poses a significant risk for poor outcomes. Predicting antibacterial drug concentrations is crucial in...
Anti-Bacterial Agents Retrospective Studies Female Aged Adult Humans Machine Learning Male Peritoneal Dialysis Middle Aged Vancomycin Peritonitis
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Application of a machine learning and optimization method to predict patellofemoral instability risk factors in children and adolescents.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 21, 2024
PURPOSE: Conservative treatment remains the standard approach for first-time patellar dislocations. While risk factors for patellofemoral instability, a common paediatric injury, are well-established in adults, data concerning the progression of paed...
Humans Machine Learning Retrospective Studies Patellofemoral Joint Child Female Joint Instability Magnetic Resonance Imaging Risk Factors Patellar Dislocation Male Adolescent
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ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.

Acta anaesthesiologica Scandinavica Jul 21, 2024
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU) is of potential benefit to both patients and society. Logistic regression models like Simplified Acute Physiology Score 3 (SAPS 3) and APACHE are th...
Middle Aged Risk Assessment Hospital Mortality Logistic Models Aged Aged, 80 and over Adult Male Registries Simplified Acute Physiology Score Humans Machine Learning Intensive Care Units Female Sweden
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Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma sam...
Humans Machine Learning Aged Adult Support Vector Machine Male Algorithms Early Detection of Cancer Middle Aged Female Least-Squares Analysis Case-Control Studies Spectroscopy, Near-Infrared Lung Neoplasms
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