AIMC Topic: Body Mass Index
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Deep Learning-Based Reconstruction Improves the Image Quality of Low-Dose CT Colonography.
Academic radiology
Jan 29, 2024
RATIONALE AND OBJECTIVES: To evaluate the image quality of low-dose CT colonography (CTC) using deep learning-based reconstruction (DLR) compared to iterative reconstruction (IR).
Population-Based Artificial Intelligence Assessment of Relationship Between the Risk Factors for Diabetic Retinopathy in Indian Population.
Ophthalmic epidemiology
Dec 12, 2023
PURPOSE: Risk factors (RFs), like 'body mass index (BMI),' 'age,' and 'gender' correlate with Diabetic Retinopathy (DR) diagnosis and have been widely studied. This study examines how these three secondary RFs independently affect the predictive capa...
Impact of Visceral Fat Area on Intraoperative Complexity and Surgical Approach Decision for Robot-Assisted Partial Nephrectomy: A Comparative Analysis with BMI.
Medical science monitor : international medical journal of experimental and clinical research
Nov 3, 2023
BACKGROUND Optimizing surgical approaches for robot-assisted partial nephrectomy (RAPN) is vital for better patient outcomes. This retrospective study aimed to examine how visceral fat area (VFA) and body mass index (BMI) correlate with intraoperativ...
Outcomes of totally robotic Roux-en-Y gastric bypass in patients with BMI ≥ 50 kg/m: can the robot level out "traditional" risk factors?
Journal of robotic surgery
Oct 10, 2023
Roux-en-Y gastric bypass (RYGB) in patients with body mass index (BMI) ≥ 50 kg/m is a challenging procedure and BMI ≥ 50 kg/m has been identified as independent risk factor for postoperative complications and increased morbidity in previous studies. ...
Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.
European radiology
Aug 31, 2023
OBJECTIVE: This study aimed to evaluate the image quality and lesion conspicuity of the deep learning image reconstruction (DLIR) algorithm compared with standard image reconstruction algorithms on abdominal enhanced computed tomography (CT) scanning...
Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.
Archives of gynecology and obstetrics
Jul 21, 2023
PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated...
Short-term outcomes between robot-assisted and open pancreaticoduodenectomy in patients with high body mass index: A propensity score matched study.
Cancer medicine
May 31, 2023
BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The short-term outcomes of robot-assisted pancreaticoduodenectomy (RPD) remain controversial. This study aims to investigate the feasibility and advantag...
Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model.
Scientific reports
May 22, 2023
One of the important concerns in the field of exercise immunology is determining the appropriate intensity and duration of exercise to prevent suppression of the immune system. Adopting a reliable approach to predict the number of white blood cells (...
Leptin levels in childhood tuberculosis and its correlation with body mass index, IFN-γ, and TNF-α in an Indonesian population.
The Indian journal of tuberculosis
Mar 31, 2023
BACKGROUND: Leptin plays a key role in the regulation of energy and inflammation in tuberculosis (TB). However, its correlation in children with TB remains unclear. Therefore, this study aimed to evaluate the correlations between body mass index, IFN...
Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning.
International journal of environmental research and public health
Dec 22, 2022
The academic curriculum has shown to promote sedentary behavior in college students. This study aimed to profile the physical fitness of physical education majors using unsupervised machine learning and to identify the differences between sexes, acad...
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