AIMC Topic: Tomography, X-Ray Computed

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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...

Expert system classifier for adaptive radiation therapy in prostate cancer.

Australasian physical & engineering sciences in medicine
A classifier-based expert system was developed to compare delivered and planned radiation therapy in prostate cancer patients. Its aim is to automatically identify patients that can benefit from an adaptive treatment strategy. The study predominantly...

Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.

Journal of endourology
PURPOSE: To construct, train, and apply an artificial neural network (ANN) system for prediction of different outcome variables of percutaneous nephrolithotomy (PCNL). We calculated predictive accuracy, sensitivity, and precision for each outcome var...

Acoustic window planning for ultrasound acquisition.

International journal of computer assisted radiology and surgery
UNLABELLED: Autonomous robotic ultrasound has recently gained considerable interest, especially for collaborative applications. Existing methods for acquisition trajectory planning are solely based on geometrical considerations, such as the pose of t...

A doubly robust approach for cost-effectiveness estimation from observational data.

Statistical methods in medical research
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since t...

Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes.

Computers in biology and medicine
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that it is feasible to predict these fats with a high degree of correlatio...

Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.

International journal of medical informatics
BACKGROUND: Testing for venous thromboembolism (VTE) is associated with cost and risk to patients (e.g. radiation). To assess the appropriateness of imaging utilization at the provider level, it is important to know that provider's diagnostic yield (...

Design and analysis of a tendon-based computed tomography-compatible robot with remote center of motion for lung biopsy.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Nowadays, biopsy is a decisive method of lung cancer diagnosis, whereas lung biopsy is time-consuming, complex and inaccurate. So a computed tomography-compatible robot for rapid and precise lung biopsy is developed in this article. According to the ...

Intensity-based 2D 3D registration for lead localization in robot guided deep brain stimulation.

Physics in medicine and biology
Intraoperative assessment of lead localization has become a standard procedure during deep brain stimulation surgery in many centers, allowing immediate verification of targeting accuracy and, if necessary, adjustment of the trajectory. The most suit...

Robotic cochlear implantation: surgical procedure and first clinical experience.

Acta oto-laryngologica
CONCLUSION: A system for robotic cochlear implantation (rCI) has been developed and a corresponding surgical workflow has been described. The clinical feasibility was demonstrated through the conduction of a safe and effective rCI procedure.