AIMC Topic: Preoperative Care
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Effect of deep learning-based reconstruction on high-resolution three-dimensional T2-weighted fast asymmetric spin-echo imaging in the preoperative evaluation of cerebellopontine angle tumors.
Neuroradiology
Mar 14, 2024
PURPOSE: We aimed to evaluate the effect of deep learning-based reconstruction (DLR) on high-spatial-resolution three-dimensional T2-weighted fast asymmetric spin-echo (HR-3D T2-FASE) imaging in the preoperative evaluation of cerebellopontine angle (...
Artificial intelligence technology improves the accuracy of preoperative planning in primary total hip arthroplasty.
Asian journal of surgery
Feb 10, 2024
OBJECTIVE: Successful total hip arthroplasty relies on accurate preoperative planning. However, the conventional preoperative planning, a two-dimensional method using X-ray template, has shown poor reliability of predicting component size. To our kno...
Artificial intelligence-based three-dimensional templating for total joint arthroplasty planning: a scoping review.
International orthopaedics
Jan 15, 2024
PURPOSE: The purpose of this review is to evaluate the current status of research on the application of artificial intelligence (AI)-based three-dimensional (3D) templating in preoperative planning of total joint arthroplasty.
Automated digital templating of component sizing is accurate in robotic total hip arthroplasty when compared to predicate software.
Medical engineering & physics
Jan 10, 2024
Accurate pre-operative templating of prosthesis components is an essential factor in successful total hip arthroplasty (THA), including robotically-assisted THA (RA-THA) techniques. We sought to validate the accuracy of a novel, robotic-optimized THA...
Exploring the Role of Artificial Intelligence Chatbots in Preoperative Counseling for Head and Neck Cancer Surgery.
The Laryngoscope
Dec 21, 2023
OBJECTIVE: To evaluate the potential use of artificial intelligence (AI) chatbots, such as ChatGPT, in preoperative counseling for patients undergoing head and neck cancer surgery.
Text-to-image artificial intelligence models for preoperative counselling in oculoplastics.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Oct 10, 2023
Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
BMC cancer
Sep 26, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal can...
Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.
Radiology
Sep 21, 2021
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Preoperative Care
Diskectomy
Spinal Cord Diseases
Postoperative Complications
Adult
Humans
Deep Learning
Sensitivity and Specificity
Retrospective Studies
Magnetic Resonance Imaging
Cervical Vertebrae
Male
Female
Predictive Value of Tests
Spinal Fusion
Middle Aged
Reproducibility of Results
Image Interpretation, Computer-Assisted
Radiculopathy
Predicting post-operative right ventricular failure using video-based deep learning.
Nature communications
Aug 31, 2021
Despite progressive improvements over the decades, the rich temporally resolved data in an echocardiogram remain underutilized. Human assessments reduce the complex patterns of cardiac wall motion, to a small list of measurements of heart function. A...
Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.
World neurosurgery
Nov 28, 2020
BACKGROUND: The consistency of meningioma is a factor that may influence surgical planning and the extent of resection. The aim of our study is to develop a predictive model of tumor consistency using the radiomic features of preoperative magnetic re...
Meningeal Neoplasms
Diffusion Magnetic Resonance Imaging
Middle Aged
Supratentorial Neoplasms
Retrospective Studies
Humans
Pilot Projects
Preoperative Care
Female
Support Vector Machine
Neural Networks, Computer
Computational Biology
Intraoperative Care
Aged
Machine Learning
Logistic Models
Magnetic Resonance Imaging
Meningioma
Male
Decision Trees
Elasticity Imaging Techniques
Bayes Theorem
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