AIMC Topic: Adult

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Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.

Psychological methods
Measurement is at the heart of scientific research. As many-perhaps most-psychological constructs cannot be directly observed, there is a steady demand for reliable self-report scales to assess latent constructs. However, scale development is a tedio...

ROBOT Assisted Laparoscopic Surgeries For Nononcological Urologic Disease: Initial Experience With Hugo Ras System.

Urology
OBJECTIVE: To report our initial experience with the use of HUGO Robotic Assisted Surgery System (RAS) for nononcological urologic disease.

Deep learning in sex estimation from a peripheral quantitative computed tomography scan of the fourth lumbar vertebra-a proof-of-concept study.

Forensic science, medicine, and pathology
Sex estimation is a key element in the analysis of unknown skeletal remains. The vertebrae display clear sex discrepancy and have proven accurate in conventional morphometric sex estimation. This proof-of-concept study aimed to investigate the possib...

Indocyanine Green-Assisted Retrograde Ureterolysis in Robotic Transvaginal NOTES for the Management of Stage IV Endometriosis with Obliterated Cul-de-sac.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To explore the use of indocyanine green (ICG) in highlighting ureteral anatomical landmarks for the successful and safe execution of robotic-assisted transvaginal NOTES hysterectomy with resection of deeply infiltrated endometriosis.

Synthetic cranial MRI from 3D optical surface scans using deep learning for radiation therapy treatment planning.

Physical and engineering sciences in medicine
BACKGROUND: Optical scanning technologies are increasingly being utilised to supplement treatment workflows in radiation oncology, such as surface-guided radiotherapy or 3D printing custom bolus. One limitation of optical scanning devices is the abse...

Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
BACKGROUND: Significant interobserver and interstudy variability occurs for left ventricular (LV) functional indices despite standardization of measurement techniques. Artificial intelligence models trained on adult echocardiograms are not likely to ...

Remote-Access Thyroidectomy in the Pediatric Population: a Systematic Review.

Advances in therapy
INTRODUCTION: Remote-access thyroidectomy has been reported in the pediatric population in a limited fashion.

Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: Otitis media (OM) is a model disease for developing, validating, and implementing artificial intelligence (AI) techniques. We aim to review the state of the art applications of AI used to diagnose OM in pediatric and adult populations.

Machine learning to improve frequent emergency department use prediction: a retrospective cohort study.

Scientific reports
Frequent emergency department use is associated with many adverse events, such as increased risk for hospitalization and mortality. Frequent users have complex needs and associated factors are commonly evaluated using logistic regression. However, ot...

DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2*-Weighted MRI.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Although susceptibility-weighted imaging (SWI) is the gold standard for visualizing cerebral microbleeds (CMBs) in the brain, the required phase data are not always available clinically. Having a postprocessing tool for generating SWI con...