Musculoskeletal Ultrasound Course: Upper and Lower Extremities

Nov 22nd, 2019Nov 23rd, 2019

Ann Arbor, MI

US

https://uofm.edusymp.com/product/details/60

Phone:813-806-1000

This two-day course will provide dedicated instruction in musculoskeletal ultrasound of the upper and lower extremities, including didactic lectures and supervised hands-on workshops with ultrasound scanning of live models. Join us in Ann Arbor!

Group mean C-11 PBR28 SUVR maps of females with ASD (top) and female controls (middle). Statistical map from voxelwise comparison of C-11 PBR28 SUVR between groups, controlled for age and TSPO genotype, shows elevated regional TSPO levels relative to whole brain mean in the midcingulate cortex and splenium of the corpus callosum in ASD (N = 12) compared with controls (N = 10) (Z > 2.3, pcluster) (bottom). TSPO = translocator protein, ASD = autism spectrum disorder, CON = control, SUVR = standardized uptake value ratio, N = number. Image and caption courtesy of Neuropsychopharmacology.

PET/MRI reveals sex differences in patients with autism

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IMV’s Oncology in Diagnostic Imaging Market Outlook Report

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Screenshot (1143)

Pisano speaks with AuntMinnie.com on new ARPA-H leadership role

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Test set images with ground truth (teal, red) and model predictions (green, yellow), with true positives (green), false positives (yellow), and false negatives (red). Predictions from the 6x-YOLOv5 ensemble trained on histogram equalized input images with a y = 0.2 avalanche scheme, achieving 0.536 precision, 0.795 recall, and 0.723 F2 score. Image and caption courtesy of Scientific Reports.

AI proposed to help radiologists detect child abuse injuries

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PET/MRI reveals sex differences in patients with autism

PET/MRI shows that young women with autism spectrum disorder have increased brain metabolism associated with translocator protein (TSPO).

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Group mean C-11 PBR28 SUVR maps of females with ASD (top) and female controls (middle). Statistical map from voxelwise comparison of C-11 PBR28 SUVR between groups, controlled for age and TSPO genotype, shows elevated regional TSPO levels relative to whole brain mean in the midcingulate cortex and splenium of the corpus callosum in ASD (N = 12) compared with controls (N = 10) (Z > 2.3, pcluster) (bottom). TSPO = translocator protein, ASD = autism spectrum disorder, CON = control, SUVR = standardized uptake value ratio, N = number. Image and caption courtesy of Neuropsychopharmacology.

Radiologist consultation improves patients' LCS attitudes

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Consulting with a radiologist boosts patients' attitudes toward lung cancer screening (LCS) and their interest in quitting smoking, researchers have reported.

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Doctor Female Young Desk 400

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AI proposed to help radiologists detect child abuse injuries

A team at Michigan State University has developed an AI model designed to detect rib fractures in children under 3 years old.

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Test set images with ground truth (teal, red) and model predictions (green, yellow), with true positives (green), false positives (yellow), and false negatives (red). Predictions from the 6x-YOLOv5 ensemble trained on histogram equalized input images with a y = 0.2 avalanche scheme, achieving 0.536 precision, 0.795 recall, and 0.723 F2 score. Image and caption courtesy of Scientific Reports.

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A personalized lung cancer screening model used with patients with pulmonary nodules identified on low-dose CT helps clinicians determine how to follow up better than rule-based protocols, researchers have found.

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Some of the top domains for users of point-of-care ultrasound (POCUS) incorporate the technology for lung ultrasound applications.

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ChatGPT-4 matched radiologists when tasked with detecting errors in imaging reports, with the study suggesting the technology may be useful for improving reporting accuracy.

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Deep-learning model determines breast tumor staging

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A deep-learning model based on mammographic images can determine tumor staging and sentinel lymph node metastasis in breast cancer patients.

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Researchers explain the data preparation and structure of a proposed CNN-based deep learning model using mammography features to determine breast tumor staging. The image is available for use under a Creative Commons license: CC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International.

FAPI-PET shows promise in patients with lung cancer

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F-18 FDG and Ga-68 FAPI-46 images of a 51-year-old woman with adenocarcinoma with lepidic growth pattern in right upper lobe. (A) Maximum-intensity-projection PET images. The lesion had F-18 FDG uptake below blood pool level but was strongly Ga-68 FAPI-46-positive. CT-guided biopsy led to pathologic diagnosis of adenocarcinoma, and the patient was treated by stereotactic body radiation therapy because of functional inoperability. Image courtesy of the Journal of Nuclear Medicine.

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