AHRA 2020 Annual Meeting

Jul 11th, 2020Jul 14th, 2020
Boston, MA
US
http://www.ahra.org
More than 1,000 imaging leaders and 150 exhibitors will attend this premier educational event for radiology administration.
Latest in Home
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
April 17, 2024
We care about what you think.
Sponsored
We care about what you think.
October 30, 2023
Screenshot (1142)
POCUS used widely in lung ultrasound applications
April 17, 2024
Ai
CT-based deep learning identifies patients at further lung cancer risk
April 16, 2024
Related Stories
Auntminnie Home
Home
Advances in Molecular Breast Imaging
Close
Home
Banner Specification -- Webinar
Get It All Small
Home
HELPTAG:regMarketing
IMV’s Oncology in Diagnostic Imaging Market Outlook Report
Sponsor Content
IMV’s Oncology in Diagnostic Imaging Market Outlook Report
More in Home
AI proposed to help radiologists detect child abuse injuries
By Will Morton
A team at Michigan State University has developed an AI model designed to detect rib fractures in children under 3 years old.
April 17, 2024
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.
Tailored lung cancer screening model helps determine nodule follow-up
By Kate Madden Yee
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.
April 17, 2024
Lung Cancer
POCUS used widely in lung ultrasound applications
By Amerigo Allegretto
Some of the top domains for users of point-of-care ultrasound (POCUS) incorporate the technology for lung ultrasound applications.
April 17, 2024
Screenshot (1142)
CT-based deep learning identifies patients at further lung cancer risk
By Kate Madden Yee
A CT-based deep learning model can identify individuals with clinical stage IA non-small cell lung cancer (NSCLC) at high risk of further disease, researchers have found.
April 16, 2024
Ai
ChatGPT-4 matches radiologists in flagging errors on reports
By Will Morton
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.
April 16, 2024
Chatgpt
Deep-learning model determines breast tumor staging
By Amerigo Allegretto
A deep-learning model based on mammographic images can determine tumor staging and sentinel lymph node metastasis in breast cancer patients.
April 16, 2024
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
By Will Morton
FAPI-PET imaging could emerge as a new tool for assessing patients with single pulmonary tumors, especially in those with negative results on other scans.
April 15, 2024
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.
IMV: Nuclear medicine procedure volumes decrease
By Davin Korstjens
Total nuclear medicine patient study volumes decreased between 2021 and 2023, according to a newly published IMV 2024 Nuclear Medicine Market Outlook Report.
April 15, 2024
Pet Scan
Can brain MRI for emergency imaging of dizziness be more effective?
By Kate Madden Yee
Predictors for acute conditions such as stroke could make brain MRI more effective in patients who present in the emergency department with dizziness or vertigo, according to recent research.
April 15, 2024
Stroke Mri
NIH: Occupational radiation dose to RTs needs careful monitoring
By Kate Madden Yee
Occupational doses to radiologic technologists imparted by assistance with fluoroscopically-guided interventional procedures are generally low, but they do need careful monitoring, a team of National Institute of Health (NIH) researchers has found.
April 12, 2024
Radiation Logo
Vision transformer AI model boosts PET/CT imaging of cancer
By Will Morton
A vision transformer AI model outperformed convolutional neural networks when classifying tumors on PET/CT images as benign or malignant.
April 12, 2024
Predictions and Grad-CAMs of ViT-based models on sample PET/CT, PET, and CT test images from the “positive” class. ViT was fine-tuned using training data for each modality. The bounding boxes depicted in the figure indicate malignant lesions. The top row of the Grad-CAMs shows important areas for “positive” predictions, and the bottom row shows areas for “negative” predictions. Image courtesy of Scientific Reports.
UltraCon: Expert talks ultrasound's role in imaging dense breasts
By Amerigo Allegretto
Kibo Nam, PhD, from Thomas Jefferson University spoke with AuntMinnie.com about the current state of ultrasound in imaging dense breasts.
April 12, 2024
Img 2490
Page 1 of 54
Next Page