AIMC Topic: Cross-Sectional Studies

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A machine learning approach to identify important variables for distinguishing between fallers and non-fallers in older women.

PloS one Oct 31, 2023
Falls are a significant ongoing public health concern for older adults. At present, few studies have concurrently explored the influence of multiple measures when seeking to determine which variables are most predictive of fall risks. As such, this c...
Accidental Falls Humans Longitudinal Studies Machine Learning Postural Balance Retrospective Studies Aged Female Cross-Sectional Studies Gait
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Wife-Mother Role Conflict at the Critical Child-Rearing Stage: A Machine-Learning Approach to Identify What and How Matters in Maternal Depression Symptoms in China.

Prevention science : the official journal of the Society for Prevention Research Oct 28, 2023
Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it easily remains untreated and misses the best time to prevent the emergence or worsening of major depressive symptoms due to under-observed stigma and t...
Cross-Sectional Studies China Depression Female Adult Role Conflict Surveys and Questionnaires Mothers Spouses Humans Machine Learning
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Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.

Scientific reports Oct 25, 2023
The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more than six million lives to date and therefore, needs a robust screening technique ...
COVID-19 SARS-CoV-2 Cross-Sectional Studies Cough Humans Artificial Intelligence
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The Role of Artificial Intelligence in Surgery: What do General Surgery Residents Think?

The American surgeon Oct 20, 2023
BACKGROUND: Artificial intelligence (AI) holds significant potential in medical education and patient care, but its rapid emergence presents ethical and practical challenges. This study explored the perspectives of surgical residents on AI's role in ...
Education, Medical Hospitals, Teaching Artificial Intelligence Cross-Sectional Studies Decision Making Humans
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Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non-invasive assessment method.
Magnetic Resonance Imaging Neoplasm Invasiveness Breast ROC Curve Lymphatic Metastasis Contrast Media Deep Learning Cohort Studies Aged Adult Breast Neoplasms Humans Radiomics Retrospective Studies Cross-Sectional Studies Female Middle Aged
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Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.

Journal of medical Internet research Oct 19, 2023
BACKGROUND: Artificial intelligence (AI) is transforming various fields, with health care, especially diagnostic specialties such as radiology, being a key but controversial battleground. However, there is limited research systematically examining th...
Humans Artificial Intelligence Cross-Sectional Studies Radiography Radiology Intelligence
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Machine learning model to predict the width of maxillary central incisor from anthropological measurements.

Journal of prosthodontic research Oct 18, 2023
PURPOSE: To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), i...
Humans Machine Learning Male Young Adult Maxilla Algorithms Anthropometry Adult Esthetics, Dental Incisor Female Cross-Sectional Studies
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Do we need a co-pilot in the operating theatre? A cross-sectional study on surgeons' perceptions.

Scottish medical journal Oct 18, 2023
OBJECTIVE: The aim of this original study was to investigate general surgeons' perceptions on the role of dual surgeon operating for high-risk, elective complex surgical procedures.
Pilots Surgeons Humans Elective Surgical Procedures Cross-Sectional Studies Operating Rooms
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Artificial Intelligence based wrapper for high dimensional feature selection.

BMC bioinformatics Oct 18, 2023
BACKGROUND: Feature selection is important in high dimensional data analysis. The wrapper approach is one of the ways to perform feature selection, but it is computationally intensive as it builds and evaluates models of multiple subsets of features....
Algorithms Cross-Sectional Studies Artificial Intelligence
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Psychometric Properties of a Machine Learning-Based Patient-Reported Outcome Measure on Medication Adherence: Single-Center, Cross-Sectional, Observational Study.

Journal of medical Internet research Oct 16, 2023
BACKGROUND: Medication adherence plays a critical role in controlling the evolution of chronic disease, as low medication adherence may lead to worse health outcomes, higher mortality, and morbidity. Assessment of their patients' medication adherence...
Adolescent Humans Medication Adherence Adult Artificial Intelligence Patient Reported Outcome Measures Cross-Sectional Studies Machine Learning Psychometrics
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