AIMC Topic:
Middle Aged

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Deep learning-based pelvimetry in pelvic MRI volumes for pre-operative difficulty assessment of total mesorectal excision.

Surgical endoscopy Jan 3, 2025
BACKGROUND: Specific pelvic bone dimensions have been identified as predictors of total mesorectal excision (TME) difficulty and outcomes. However, manual measurement of these dimensions (pelvimetry) is labor intensive and thus, anatomic criteria are...
Preoperative Care Pelvimetry Humans Pelvic Bones Female Anatomic Landmarks Aged Rectum Male Rectal Neoplasms Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
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Application of machine learning algorithms in an epidemiologic study of mortality.

Annals of epidemiology Jan 3, 2025
PURPOSE: Epidemiologic studies are important in assessing risk factors of mortality. Machine learning (ML) is efficient in analyzing multidimensional data to unravel dependencies between risk factors and health outcomes.
Mortality Nutrition Surveys United States Cause of Death Epidemiologic Studies Machine Learning Algorithms Female Humans Male Aged Risk Factors Middle Aged Adult ROC Curve
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Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Pharmacotherapy Jan 3, 2025
BACKGROUND: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be preventable. Intravenous medications (including administered volume) are a primary cause for FO but are challenging to evaluate as a FO predictor given th...
Humans Machine Learning Male Middle Aged Cohort Studies Unsupervised Machine Learning Retrospective Studies Water-Electrolyte Imbalance Intensive Care Units Female Aged
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Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors.

Tomography (Ann Arbor, Mich.) Jan 3, 2025
OBJECTIVES: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for diagnosis and treatment, but manual methods are time-consuming and inconsistent, highlighting the value of AI automation. This study develops a fully au...
Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Humans Neural Networks, Computer Male Tomography, X-Ray Computed Artificial Intelligence Middle Aged Female Kidney Aged Contrast Media Sensitivity and Specificity
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Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis.

Current oncology (Toronto, Ont.) Jan 3, 2025
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic resonance imaging (MRI) of the upper abdomen with a slice thickness below 5 mm suffers from high image noise and blurring. The purpose of this prospective ...
Humans Prospective Studies Female Aged Adult Male Magnetic Resonance Imaging Middle Aged Signal-To-Noise Ratio Deep Learning Breath Holding Image Processing, Computer-Assisted Abdomen
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Comparison of AI applications and anesthesiologist's anesthesia method choices.

BMC anesthesiology Jan 3, 2025
BACKGROUND: In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive u...
Adult Humans Anesthesia Male Anesthesiologists Artificial Intelligence Middle Aged Orthopedic Procedures Female Anesthesia, Spinal Aged
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Psychotropic medications: a descriptive study of prescription trends in Tabriz, Iran, 2021-2022.

BMC psychiatry Jan 3, 2025
INTRODUCTION: Mental disorders, such as anxiety and depression, significantly impacted global populations in 2019 and 2020, with COVID-19 causing a surge in prevalence. They affect 13.4% of the people worldwide, and 21% of Iranians have experienced t...
Adolescent Child, Preschool Child Iran Young Adult Anti-Anxiety Agents Humans Adult Practice Patterns, Physicians' COVID-19 Male Drug Prescriptions Mental Disorders Middle Aged Antidepressive Agents Female Psychotropic Drugs Aged
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Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer.

BMC neurology Jan 3, 2025
BACKGROUND AND PURPOSE: White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a...
Female Aged Male Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging White Matter Humans Neural Networks, Computer Brain
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Assessment of choroidal vessels in healthy eyes using 3-dimensional vascular maps and a semi-automated deep learning approach.

Scientific reports Jan 3, 2025
To assess the choroidal vessels in healthy eyes using a novel three-dimensional (3D) deep learning approach. In this cross-sectional retrospective study, swept-source OCT 6 × 6 mm scans on Plex Elite 9000 device were obtained. Automated segmentation ...
Adult Cross-Sectional Studies Male Middle Aged Retrospective Studies Female Aged Young Adult Tomography, Optical Coherence Healthy Volunteers Deep Learning Adolescent Imaging, Three-Dimensional Choroid Humans
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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images.

Scientific reports Jan 3, 2025
Hepatic cystic echinococcosis (HCE), a life-threatening liver disease, has 5 subtypes, i.e., single-cystic, polycystic, internal capsule collapse, solid mass, and calcified subtypes. And each subtype has different treatment methods. An accurate diagn...
Humans Neural Networks, Computer Female Diagnosis, Computer-Assisted Adult Deep Learning Male Ultrasonography Middle Aged Echinococcosis, Hepatic
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