AIMC Topic: Pilot Projects
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The Co-Pilot Project in wartime: lessons from Lviv, Ukraine.
Neurosurgical focus
Mar 1, 2025
OBJECTIVE: The ongoing war in Ukraine has introduced many challenges to an already overburdened and resource-limited medical system. Longitudinal collaborations, material support, educational outreach, and surgical mentorship are essential for improv...
Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.
Physiological reports
Feb 1, 2025
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requi...
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.
Virtual Monochromatic Imaging of Half-Iodine-Load, Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction in Patients with Renal Insufficiency: A Clinical Pilot Study.
Journal of Nippon Medical School = Nippon Ika Daigaku zasshi
Jan 1, 2025
BACKGROUND: We retrospectively examined image quality (IQ) of thin-slice virtual monochromatic imaging (VMI) of half-iodine-load, abdominopelvic, contrast-enhanced CT (CECT) by dual-energy CT (DECT) with deep learning image reconstruction (DLIR).
Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study.
Dento maxillo facial radiology
Jan 1, 2025
OBJECTIVES: The main objective was to develop and evaluate an artificial intelligence model for tooth segmentation in magnetic resonance (MR) scans.
[A pilot study on clinical application of three-dimensional morphological completion of lesioned mandibles assisted by generative adversarial networks].
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Dec 9, 2024
To explore the clinical application pathway of the CT generative adversarial networks (CTGANs) algorithm in mandibular reconstruction surgery, aiming to provide a valuable reference for this procedure. A clinical exploratory study was conducted, 27...
A Pilot Investigation Into the Use of Teledentistry and Artificial Intelligence to Assess Dental Erosion in Competitive Swimmers.
Clinical and experimental dental research
Dec 1, 2024
OBJECTIVE: The aim of the study was to assess the prevalence of dental erosion in competitive swimmers using teledentistry and artificial intelligence.
Hyperspectral imaging facilitating resect-and-discard strategy through artificial intelligence-assisted diagnosis of colorectal polyps: A pilot study.
Cancer medicine
Sep 1, 2024
BACKGROUND AND AIMS: The resect-and-discard strategy for colorectal polyps based on accurate optical diagnosis remains challenges. Our aim was to investigate the feasibility of hyperspectral imaging (HSI) for identifying colorectal polyp properties a...
Use of a Novel Artificial Intelligence Tool for Evaluating Primary Stability and Immediate Loading Suitability of Dental Implants: An In Vitro Pilot Study.
The International journal of oral & maxillofacial implants
Aug 29, 2024
PURPOSE: To evaluate the correspondence between output from a new artificial intelligence tool (AIT) and clinician evaluation regarding the immediate loading suitability of dental implants based on insertion torque curves recorded during implant plac...
The Effects of Robotic Exoskeleton Gait Training on Improving Walking Adaptability in Persons with MS.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
The goal of the present pilot investigation is to examine the effects of 8 weeks of supervised, over-ground gait training using a robotic exoskeleton (RE) compared with a control condition (conventional gait therapy, CGT) in persons with MS with ambu...
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