AIMC Topic:
Ultrasonography

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Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.

Clinical orthopaedics and related research Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Magnetic Resonance Imaging Diagnosis, Differential Predictive Value of Tests Clinical Competence Ultrasonography Visual Perception Musculoskeletal System Orthopedic Surgeons Musculoskeletal Diseases Pattern Recognition, Automated Machine Learning Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Humans
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Use of artificial intelligence and machine learning for estimating malignancy risk of thyroid nodules.

Current opinion in endocrinology, diabetes, and obesity Oct 1, 2020
PURPOSE OF REVIEW: Current methods for thyroid nodule risk stratification are subjective, and artificial intelligence algorithms have been used to overcome this shortcoming. In this review, we summarize recent developments in the application of artif...
Risk Assessment Thyroid Neoplasms Thyroid Nodule Ultrasonography Humans Algorithms Prognosis Risk Factors Artificial Intelligence Machine Learning
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Ultrasonographic Thyroid Nodule Classification Using a Deep Convolutional Neural Network with Surgical Pathology.

Journal of digital imaging Oct 1, 2020
Ultrasonography with fine-needle aspiration biopsy is commonly used to detect thyroid cancer. However, thyroid ultrasonography is prone to subjective interpretations and interobserver variabilities. The objective of this study was to develop a thyroi...
Ultrasonography Thyroid Nodule Pathology, Surgical Neural Networks, Computer Sensitivity and Specificity Humans
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Nodule Localization in Thyroid Ultrasound Images with a Joint-Training Convolutional Neural Network.

Journal of digital imaging Oct 1, 2020
The accurate localization of nodules in ultrasound images can convey crucial information to support a reliable diagnosis. However, this is usually challenging due to low contrast and image artifacts, especially in thyroid ultrasound images where nodu...
Algorithms Ultrasonography Thyroid Nodule Humans Neural Networks, Computer
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Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Oct 1, 2020
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI is already part of our daily life; it is behind face recognition technology, speech recognition in vi...
Ultrasonography Pregnancy Female Humans Gynecology Obstetrics Artificial Intelligence
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Deep Convolutional Neural Networks for Thyroid Tumor Grading using Ultrasound B-mode Images.

The Journal of the Acoustical Society of America Sep 1, 2020
The performances of deep convolutional neural network (DCNN) modeling and transfer learning (TF) for thyroid tumor grading using ultrasound imaging were evaluated. This retrospective study included input patient data (ultrasound B-mode image sets) as...
Retrospective Studies Thyroid Neoplasms Area Under Curve Ultrasonography Humans Neural Networks, Computer
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Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images.

Journal of animal science Aug 1, 2020
Computer vision systems (CVS) have been shown to be a powerful tool for the measurement of live pig body weight (BW) with no animal stress. With advances in precision farming, it is now possible to evaluate the growth performance of individual pigs m...
Swine Data Science Image Processing, Computer-Assisted Body Composition Ultrasonography Phenotype Tomography, X-Ray Computed Animals Machine Learning Humans Muscles Neural Networks, Computer Algorithms Body Weight Linear Models
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Planning Framework for Robot-assisted Blood-Brain Barrier Opening with Focused Ultrasound.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
This article presents a method to plan BloodBrain Barrier (BBB) disruption with Focused Ultrasound, under neuronavigated robotic assistance. Robotic and acoustic constraints are defined to estimate brain target accessibility. The relevance of the pro...
Ultrasonography Brain Robotics Blood-Brain Barrier Biological Transport
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Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Recording muscle tendon junction displacements during movement, allows separate investigation of the muscle and tendon behaviour, respectively. In order to provide a fully-automatic tracking method, we employ a novel deep learning approach to detect ...
Humans Movement Range of Motion, Articular Deep Learning Ultrasonography Tendons
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Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation process during assisted reproduction. The JZ changes throughout the hormone stimulation cycle and has predictive value for implantation success. Desp...
Female Deep Learning Uterus Humans Endometrium Ultrasonography Embryo Implantation
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