AIMC Topic: Radiotherapy, Computer-Assisted

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Effectiveness of robot-assisted training added to conventional rehabilitation in patients with humeral fracture early after surgical treatment: protocol of a randomised, controlled, multicentre trial.

Trials Dec 6, 2017
BACKGROUND: The incidence of proximal humeral fractures increases with age. The functional recovery of the upper arm after such fractures is slow, and results are often disappointing. Treatment is associated with long immobilisation periods. Evidence...
Range of Motion, Articular Germany Disability Evaluation Single-Blind Method Physical Therapy Modalities Clinical Protocols Shoulder Joint Motor Activity Recovery of Function Robotics Occupational Therapy Pain Measurement Time Factors Treatment Outcome Male Middle Aged Female Fracture Fixation Aged Radiotherapy, Computer-Assisted Research Design Adult Shoulder Fractures Prospective Studies Biomechanical Phenomena Humans
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A machine learning tool for re-planning and adaptive RT: A multicenter cohort investigation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Oct 17, 2016
PURPOSE: To predict patients who would benefit from adaptive radiotherapy (ART) and re-planning intervention based on machine learning from anatomical and dosimetric variations in a retrospective dataset.
Retrospective Studies Reproducibility of Results Cohort Studies Humans Radiotherapy, Computer-Assisted Radiotherapy Planning, Computer-Assisted Machine Learning
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Controlling motion prediction errors in radiotherapy with relevance vector machines.

International journal of computer assisted radiology and surgery May 16, 2014
PURPOSE: Robotic radiotherapy can precisely ablate moving tumors when time latencies have been compensated. Recently, relevance vector machines (RVM), a probabilistic regression technique, outperformed six other prediction algorithms for respiratory ...
Motion Regression Analysis Respiration Probability Humans Radiotherapy, Computer-Assisted Robotics Algorithms
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Genomics models in radiotherapy: From mechanistic to machine learning.

Medical physics Jun 1, 2020
Machine learning (ML) provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While ML is often applied for imaging problems in medical physics, there are many efforts to apply these principles...
Machine Learning Genomics Humans Radiotherapy, Computer-Assisted
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Advances in Auto-Segmentation.

Seminars in radiation oncology Jul 1, 2019
Manual image segmentation is a time-consuming task routinely performed in radiotherapy to identify each patient's targets and anatomical structures. The efficacy and safety of the radiotherapy plan requires accurate segmentations as these regions of ...
Organs at Risk Radiotherapy, Image-Guided Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms Radiotherapy, Computer-Assisted Software Neoplasms
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Robotic real-time translational and rotational head motion correction during frameless stereotactic radiosurgery.

Medical physics Jun 1, 2015
PURPOSE: To develop a control system to correct both translational and rotational head motion deviations in real-time during frameless stereotactic radiosurgery (SRS).
Time Factors Robotics Movement Radiosurgery Rotation Humans Phantoms, Imaging Head Radiotherapy, Computer-Assisted Algorithms
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