AIMC Topic: Cross-Sectional Studies
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Accuracy and clinical relevance of an automated, algorithm-based analysis of facial signs from selfie images of women in the United States of various ages, ancestries and phototypes: A cross-sectional observational study.
Journal of the European Academy of Dermatology and Venereology : JEADV
Sep 9, 2022
BACKGROUND: Real-life validation is necessary to ensure our artificial intelligence (AI) skin diagnostic tool is inclusive across a diverse and representative US population of various ages, ancestries and skin phototypes.
Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire.
Computational and mathematical methods in medicine
Sep 9, 2022
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross-sectional study, Japanese adults (aged 20-64 years) from Tokyo and surrounding areas were recruited...
Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.
Scientific reports
Sep 7, 2022
Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision making. Machine learning can build upon prior sub-grouping approaches by using a data-driven approach to overcome clinician subjectivity, however, only...
Emotional reactions to infertility diagnosis: thematic and natural language processing analyses of the 1000 Dreams survey.
Reproductive biomedicine online
Sep 6, 2022
RESEARCH QUESTION: What are the emotional effects of infertility on patients, partners, or both, and how can qualitative thematic analyses and natural language processing (NLP) help evaluate textual data?
A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design.
Ophthalmology. Glaucoma
Aug 28, 2022
PURPOSE: To investigate the efficacy of a deep learning regression method to predict macula ganglion cell-inner plexiform layer (GCIPL) and optic nerve head (ONH) retinal nerve fiber layer (RNFL) thickness for use in glaucoma neuroprotection clinical...
Editorial Comment to Incidence and predictive factors of orgasmic dysfunction after robot-assisted radical prostatectomy: A cross-sectional, questionnaire-based study.
International journal of urology : official journal of the Japanese Urological Association
Aug 24, 2022
Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study.
Journal of medical Internet research
Aug 19, 2022
BACKGROUND: The ever-growing amount of health information available on the web is increasing the demand for tools providing personalized and actionable health information. Such tools include symptom checkers that provide users with a potential diagno...
Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol.
PloS one
Aug 11, 2022
INTRODUCTION: Anterior segment optical coherence tomography (AS-OCT) is a non-contact, rapid, and high-resolution in vivo modality for imaging of the eyeball's anterior segment structures. Because progressive anterior segment deformation is a hallmar...
How robots impact nurses' time pressure and turnover intention: A two-wave study.
Journal of nursing management
Aug 10, 2022
AIMS: To examine the relationships among effort ensuring robots' smooth operation (EERSO), time pressure, missed care, and nurses' turnover intention, and how robot performance moderates such relations.
Characteristics, Impact, and Visibility of Scientific Publications on Artificial Intelligence in Dentistry: A Scientometric Analysis.
The journal of contemporary dental practice
Aug 1, 2022
AIM: To analyze the bibliometric characteristics, impact, and visibility of scientific publications on artificial intelligence (AI) in dentistry in Scopus.
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