AIMC Topic: Prospective Studies
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How long does image based robotic total knee arthroplasty take during the learning phase? Analysis of the key steps from the first fifty cases.
International orthopaedics
Nov 10, 2022
INTRODUCTION: Robotically assisted total knee arthroplasty (RA-TKA) is an emerging surgical tool. The purpose of this study was to analyze the length of time taken to perform the key steps of a RA-TKA for a surgeon and centre new to the MAKO robotic ...
Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis.
Radiology
Nov 8, 2022
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in practice is critical. Clinical evaluation aims to confirm acceptable AI performance through adequate external testing and confirm the benefits of AI-assisted c...
Effect of AI-assisted software on inter- and intra-observer variability for the X-ray bone age assessment of preschool children.
BMC pediatrics
Nov 8, 2022
BACKGROUND: With the rapid development of deep learning algorithms and the rapid improvement of computer hardware in the past few years, AI-assisted diagnosis software for bone age has achieved good diagnostic performance. The purpose of this study w...
Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
European radiology
Nov 3, 2022
OBJECTIVES: To compare the image quality and hepatic metastasis detection of low-dose deep learning image reconstruction (DLIR) with full-dose filtered back projection (FBP)/iterative reconstruction (IR).
Re: Hilda A. de Barros, Matthias N. van Oosterom, Maarten L. Donswijk, et al. Robot-assisted Prostate-specific Membrane Antigen-radioguided Salvage Surgery in Recurrent Prostate Cancer Using a DROP-IN Gamma Probe: The First Prospective Feasibility Study. Eur Urol 2022;82:97-105.
European urology
Nov 2, 2022
Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability.
Radiology
Nov 1, 2022
Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based reconstructions of rapidly acquired, undersampled spine MRI are needed. Purpose To...
Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.
The British journal of radiology
Nov 1, 2022
OBJECTIVE: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common i...
Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm.
Journal of vascular surgery
Oct 31, 2022
BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. Patients and/or providers are frequently unaware of these AAA and the need for long-term follow-up. We sought to evaluate the outcome of a nurse-naviga...
Urologic latency time during uroflow stop test with electromyography: an incontinence detector in rehabilitation after robotic radical prostatectomy.
European journal of physical and rehabilitation medicine
Oct 28, 2022
BACKGROUND: Stress urinary incontinence (UI) is the most common presentation following robot-assisted radical prostatectomy (RARP), but a postoperative non-invasive and objective test is still lacking. To assess pelvic floor integrity after RARP, we ...
Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.
Frontiers in public health
Oct 28, 2022
The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study exp...
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