AIMC Topic: Cross-Sectional Studies
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Major Determinants of Innovation Performance in the Context of Healthcare Sector.
International journal of environmental research and public health
Mar 12, 2023
Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data...
Differentiating Glaucomatous Optic Neuropathy From Non-glaucomatous Optic Neuropathies Using Deep Learning Algorithms.
American journal of ophthalmology
Mar 2, 2023
PURPOSE: A deep learning framework to differentiate glaucomatous optic disc changes due to glaucomatous optic neuropathy (GON) from non-glaucomatous optic disc changes due to non-glaucomatous optic neuropathies (NGONs).
A comparative study of two automated solutions for cross-sectional skeletal muscle measurement from abdominal computed tomography images.
Medical physics
Feb 16, 2023
BACKGROUND: Measurement of cross-sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) level from computed tomography (CT) images is becoming one of the reference methods for sarcopenia diagnosis. However, manual skeletal muscle segmenta...
Deep Learning of Videourodynamics to Classify Bladder Dysfunction Severity in Patients With Spina Bifida.
The Journal of urology
Feb 14, 2023
PURPOSE: Urologists rely heavily on videourodynamics to identify patients with neurogenic bladders who are at risk of upper tract injury, but their interpretation has high interobserver variability. Our objective was to develop deep learning models o...
Deep Learning Algorithm for Identifying Cervical Cord Compression Due to Degenerative Canal Stenosis on Radiography.
Spine
Feb 10, 2023
STUDY DESIGN: Cross-sectional study.
Diagnosis of coronary layered plaque by deep learning.
Scientific reports
Feb 10, 2023
Healed coronary plaques, morphologically characterized by a layered phenotype, are signs of previous plaque destabilization and healing. Recent optical coherence tomography (OCT) studies demonstrated that layered plaque is associated with higher leve...
Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.
Japan journal of nursing science : JJNS
Feb 9, 2023
AIM: This study aimed to construct and evaluate prediction models using deep learning to explore the impact of attributes and lifestyle factors on research activities of nursing researchers during the COVID-19 pandemic.
Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities.
Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
Feb 1, 2023
BACKGROUND: The examination of the optic nerve head (optic disc) is mandatory in patients with headache, hypertension, or any neurological symptoms, yet it is rarely or poorly performed in general clinics. We recently developed a brain and optic nerv...
Using Haplotype-Based Artificial Intelligence to Evaluate SARS-CoV-2 Novel Variants and Mutations.
JAMA network open
Feb 1, 2023
IMPORTANCE: Earlier detection of emerging novel SARS-COV-2 variants is important for public health surveillance of potential viral threats and for earlier prevention research. Artificial intelligence may facilitate early detection of SARS-CoV2 emergi...
Enhancing Nurse-Robot Engagement: Two-Wave Survey Study.
Journal of medical Internet research
Jan 9, 2023
BACKGROUND: Robots are introduced into health care contexts to assist health care professionals. However, we do not know how the benefits and maintenance of robots influence nurse-robot engagement.
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