Imaging in Jackson Hole

Jul 8th, 2018Jul 11th, 2018
Jackson Hole, WY
US
http://diagnosticimagingupdate.com/jackson-hole-july-2018/
Phone:650-440-4424
The Imaging in Jackson Hole course is designed to provide the tools for participants to enhance interpretation skills utilizing the latest imaging technologies.
Latest in Home
Lung Cancer
Novel risk prediction model improves LCS uptake
April 23, 2024
My BreastAI Suite by GE HealthCare
Sponsored
My BreastAI Suite by GE HealthCare
April 2, 2024
Chat Gpt Artificial Intelligence Ai Head
NLP uncovers racial bias in documenting ob/gyn imaging findings
April 23, 2024
Breast Screening Van 400
Mobile health screening model lowers costs, promotes sustainability
April 22, 2024
Related Stories
Auntminnie Home
Home
Advances in Molecular Breast Imaging
Close
Home
Banner Specification -- Webinar
Get It All Small
Home
HELPTAG:regMarketing
We care about what you think.
Sponsor Content
We care about what you think.
More in Home
Novel risk prediction model improves LCS uptake
By Kate Madden Yee
A novel risk prediction model used in the Ontario Lung Cancer Screening Pilot increased the uptake of lung cancer screening among eligible Canadians, researchers have found.
April 23, 2024
Lung Cancer
PET/CT superior to MRI for detecting spinal bone metastases
By Will Morton
Gallium-68 (Ga-68) DOTATATE PET/CT appears to be the best approach for detecting spinal bone metastases in patients with certain neuroendocrine tumors.
April 23, 2024
Ppgl 167 250
NLP uncovers racial bias in documenting ob/gyn imaging findings
By Amerigo Allegretto
Natural language processing (NLP), a form of AI, can uncover racial bias in documenting radiology-confirmed ob/gyn findings.
April 23, 2024
Chat Gpt Artificial Intelligence Ai Head
Mobile health screening model lowers costs, promotes sustainability
By Amerigo Allegretto
A new cancer screening service model can reduce costs and improve environmental sustainability for breast cancer screening and other screening exams.
April 22, 2024
Breast Screening Van 400
What's brewing in RT and RA legislation, policy, and standards?
By Liz Carey
A range of federal and state legislation and other developments in the works could have a significant impact on radiologic technologists and registered radiology assistants.
April 22, 2024
Asrt Be Seen Campaign 2024
MR elastography effective for assessing liver stiffness in children
By Kate Madden Yee
MR elastography is an effective technique for noninvasive monitoring of liver stiffness -- a surrogate for fibrosis -- in children and young adults with autoimmune liver disease, researchers have reported.
April 19, 2024
2024 04 19 7 Year Old Boy With Autoimmune Sclerosing Cholangitis
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.
Page 1 of 55
Next Page