AIMC Topic: Middle Aged

Clear Filters Showing 2231 to 2240 of 14424 articles

Noise Reduction in Brain CT: A Comparative Study of Deep Learning and Hybrid Iterative Reconstruction Using Multiple Parameters.

Tomography (Ann Arbor, Mich.) Dec 18, 2024
OBJECTIVES: We evaluated the noise reduction effects of deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) in brain computed tomography (CT).
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Humans Phantoms, Imaging Aged Brain Adult Tomography, X-Ray Computed Male Female Middle Aged Deep Learning
View on PubMed DOI

Improving the prediction of patient survival with the aid of residual convolutional neural network (ResNet) in colorectal cancer with unresectable liver metastases treated with bevacizumab-based chemotherapy.

Cancer imaging : the official publication of the International Cancer Imaging Society Dec 18, 2024
BACKGROUND: To verify overall survival predictions made with residual convolutional neural network-determined morphological response (ResNet-MR) in patients with unresectable synchronous liver-only metastatic colorectal cancer (mCRC) treated with bev...
Middle Aged Liver Neoplasms Antineoplastic Combined Chemotherapy Protocols Fluorouracil Bevacizumab Aged Humans Adult Colorectal Neoplasms Neural Networks, Computer Male Retrospective Studies Tomography, X-Ray Computed Female
View on PubMed DOI

Exploring machine learning algorithms to predict not using modern family planning methods among reproductive age women in East Africa.

BMC health services research Dec 18, 2024
BACKGROUND: The use of the modern family planning method provides chances for women to reach optimal child spacing, increase quality of life, increase economic status, achieve the desired family size, and prevent unsafe abortions and maternal and per...
Africa, Eastern Family Planning Services Young Adult Adult Humans Middle Aged Machine Learning Adolescent Algorithms Decision Trees Female
View on PubMed DOI

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...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Abdominal Female Aged Adult Male Middle Aged Humans Tomography, X-Ray Computed
View on PubMed DOI

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 ...
Humans Machine Learning Prognosis Retrospective Studies Lymphocytes Aged Middle Aged Female Lymphocyte Count Colorectal Neoplasms Inflammation Biomarkers, Tumor Nomograms Male Neutrophils Neoplasm Staging
View on PubMed DOI

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, Preschool Child COVID-19 Nucleic Acid Testing Male Middle Aged Aged Humans Infant Aged, 80 and over Machine Learning China COVID-19 Young Adult Adolescent Retrospective Studies Adult Female SARS-CoV-2 Risk Factors
View on PubMed DOI

Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters.

BMC anesthesiology Dec 18, 2024
BACKGROUND: To protect patients during anesthesia, difficult airway management is a serious issue that needs to be carefully planned for and carried out. Machine learning prediction tools have recently become increasingly common in medicine, frequent...
Iran Airway Management Intubation, Intratracheal Male Middle Aged Support Vector Machine Decision Trees Humans Machine Learning Algorithms Female Adult Cross-Sectional Studies
View on PubMed DOI

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 Male Middle Aged China Triage Natural Language Processing Retrospective Studies Female Aged Adult Emergency Service, Hospital
View on PubMed DOI

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...
Cause of Death Stroke Female Triglycerides Blood Glucose Biomarkers Reproducibility of Results Humans Male Time Factors Prognosis Machine Learning Risk Factors Middle Aged Hospital Mortality Retrospective Studies Databases, Factual Aged Risk Assessment Critical Illness Predictive Value of Tests China Intensive Care Units Length of Stay
View on PubMed DOI

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...
Humans Neural Networks, Computer Artificial Intelligence Male Female Middle Aged Aged Diabetes Mellitus Adult Support Vector Machine Models, Statistical
View on PubMed DOI
Popular Topics
Recent Journals