X-Ray - Combined Chest and Emergency Interpretation

Oct 7th, 2014Oct 9th, 2014

Noosa, 04

AU

http://lightboxradiology.com.au/course-details.aspx?c=1011

Phone:+61 7 5449 2717

A comprehensive review of the fundamental principles of chest and emergency x-ray interpretation.

Novel risk prediction model improves LCS uptake

April 23, 2024

We care about what you think.

We care about what you think.

October 30, 2023

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

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

PET/CT superior to MRI for detecting spinal bone metastases

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

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?

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?

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

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

April 18, 2024

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

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