Multimodality Screening Course

May 3rd, 2015May 7th, 2015
Scottsdale, AZ
US
https://www.mammographyed.com
Phone:480-419-0227
This course is a combination of our Multimodality Detection and Diagnosis of Breast Diseases course and our Advanced Screening course.
Latest in Home
Breast Mammography Scanner
High breast density tied to impaired recurrence-free cancer survival
April 19, 2024
Stroke Skull Xray 400
Can ChatGPT ‘data mine’ patient reports for stroke registries?
April 19, 2024
FREE WEBINAR: Advanced visualization in 2024: Enhancing radiology care
Sponsored
FREE WEBINAR: Advanced visualization in 2024: Enhancing radiology care
April 17, 2024
Doctor Female Young Desk 400
Radiologist consultation improves patients' LCS attitudes
April 18, 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
High breast density tied to impaired recurrence-free cancer survival
By Amerigo Allegretto
Recurrence-free breast cancer survival is less likely in women with high breast density compared with women with low density.
April 19, 2024
Breast Mammography Scanner
Can ChatGPT ‘data mine’ patient reports for stroke registries?
By Will Morton
ChatGPT-4 appears useful for extracting details from reports on thrombectomy procedures in stroke patients, a labor-intensive and error-prone task currently performed by human readers.
April 19, 2024
Stroke Skull Xray 400
PET/MRI reveals sex differences in patients with autism
By Will Morton
PET/MRI shows that young women with autism spectrum disorder have increased brain metabolism associated with translocator protein.
April 18, 2024
Tspo Thumbnail
Radiologist consultation improves patients' LCS attitudes
By Kate Madden Yee
Consulting with a radiologist boosts patients' attitudes toward lung cancer screening (LCS) and their interest in quitting smoking, researchers have reported.
April 18, 2024
Doctor Female Young Desk 400
Pisano speaks with AuntMinnie.com on new ARPA-H leadership role
By Amerigo Allegretto
Etta Pisano, MD, spoke with AuntMinnie.com on leading the Advancing Clinical Trials Readiness initiative, part of ARPA-H.
April 18, 2024
Screenshot (1143)
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.
Page 1 of 55
Next Page