AIMC Topic: Aged

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Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current.

BMC medical informatics and decision making Dec 18, 2024
BACKGROUND: The low tube-voltage technique (e.g., 80 kV) can efficiently reduce the radiation dose and increase the contrast enhancement of vascular and parenchymal structures in abdominal CT. However, a high tube current is always required in this s...
Adult Radiographic Image Interpretation, Computer-Assisted Humans Male Radiation Dosage Tomography, X-Ray Computed Radiography, Abdominal Middle Aged Female Deep Learning Aged
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Combined inflammation-related biomarkers and clinicopathological features for the prognosis of stage II/III colorectal cancer by machine learning.

BMC cancer Dec 18, 2024
BACKGROUND: Inflammation-related biomarkers, such as systemic inflammation score (SIS) and neutrophil-lymphocyte ratio (NLR), are associated with colorectal cancer prognosis. However, the combined role of SIS, NLR, and clinicopathological factors in ...
Inflammation Nomograms Neutrophils Neoplasm Staging Lymphocytes Lymphocyte Count Colorectal Neoplasms Biomarkers, Tumor Male Middle Aged Humans Machine Learning Prognosis Retrospective Studies Female Aged
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Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases.

BMC infectious diseases Dec 18, 2024
BACKGROUND: During the Omicron BA.2 variant outbreak in Shanghai, China, from April to May 2022, PCR nucleic acid test re-positivity (TR) occurred frequently, yet the risk factors and predictive models for TR remain unclear. This study aims to identi...
Child COVID-19 Nucleic Acid Testing Retrospective Studies Middle Aged Female Infant SARS-CoV-2 China Risk Factors Adolescent Aged Child, Preschool Humans Aged, 80 and over Machine Learning Young Adult COVID-19 Adult Male
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Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department.

BMC emergency medicine Dec 18, 2024
BACKGROUND: Accurate triage is required for efficient allocation of resources and to decrease patients' length of stay. Triage decisions are often subjective and vary by provider, leading to patients being over-triaged or under-triaged. This study de...
Humans Machine Learning Retrospective Studies Female Aged Adult Male Emergency Service, Hospital Middle Aged China Triage Natural Language Processing
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Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortality prediction.

Cardiovascular diabetology Dec 18, 2024
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the intensive care unit (ICU). Emerging surrogate for insulin resistance, triglyceride-glucose index (TyG), has been linked to stroke prognosis. We aims t...
Stroke Triglycerides Blood Glucose Time Factors Prognosis Hospital Mortality Predictive Value of Tests Retrospective Studies Cause of Death Critical Illness Intensive Care Units Middle Aged Female Risk Assessment Reproducibility of Results China Risk Factors Length of Stay Aged Male Humans Machine Learning Databases, Factual Biomarkers
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An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques.

BMC medical informatics and decision making Dec 18, 2024
BACKGROUND: Diabetes mellitus (DM) is a chronic disease prevalent worldwide, requiring a multifaceted analytical approach to improve early detection and subsequent mitigation of morbidity and mortality rates. This research aimed to develop an explain...
Middle Aged Diabetes Mellitus Support Vector Machine Models, Statistical Humans Neural Networks, Computer Artificial Intelligence Female Aged Adult Male
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Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection.

BMC medical informatics and decision making Dec 18, 2024
BACKGROUND: Blood transfusion (BT) is a critical aspect of medical care for surgical patients in the Intensive Care Unit (ICU). Timely and accurate identification of BT needs can enhance patient outcomes and healthcare resource management.
Humans Machine Learning Retrospective Studies Intensive Care Units Female Blood Transfusion Critical Care Netherlands Aged Adult Male Middle Aged
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A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms.

BMC medical informatics and decision making Dec 18, 2024
BACKGROUND: Aplastic anemia (AA) and myelodysplastic neoplasms (MDS) have similar peripheral blood manifestations and are clinically characterized by reduced hematological triad. It is challenging to distinguish and diagnose these two diseases. Hence...
Humans Machine Learning Aged, 80 and over Male Middle Aged Algorithms Anemia, Aplastic Retrospective Studies Myelodysplastic Syndromes Female Aged
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Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy.

BMC nephrology Dec 18, 2024
BACKGROUND: Chronic Kidney Disease (CKD) is a common severe complication after radical nephrectomy in patients with renal cancer. The timely and accurate prediction of the long-term progression of renal function post-surgery is crucial for early inte...
Nephrectomy Renal Insufficiency, Chronic Support Vector Machine Kidney Neoplasms Carcinoma, Renal Cell Humans Machine Learning Retrospective Studies Female Aged Male Middle Aged Postoperative Complications Disease Progression
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MHAGuideNet: a 3D pre-trained guidance model for Alzheimer's Disease diagnosis using 2D multi-planar sMRI images.

BMC medical imaging Dec 18, 2024
BACKGROUND: Alzheimer's Disease is a neurodegenerative condition leading to irreversible and progressive brain damage, with possible features such as structural atrophy. Effective precision diagnosis is crucial for slowing disease progression and red...
Humans Neural Networks, Computer Brain Female Imaging, Three-Dimensional Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Atrophy Aged Aged, 80 and over Sensitivity and Specificity Male
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