Carestream brings CR to Lambeau Field

AuntMinnie.com staff writers
Feb 17, 2009

Carestream Health has installed a computed radiography (CR) system at Lambeau Field, the home of the National Football League's Green Bay Packers.

Packers personnel will use the Kodak DirectView Classic CR system to capture and view images of injured players, according to Carestream of Rochester, NY. The package includes a workstation for image viewing and short-term storage, a laser printer, and a CD burner, Carestream said.

Related Reading

Carestream gets German RIS certification, February 13, 2009

Carestream wins DR order in Georgia, February 13, 2009

Carestream receives PA order, February 4, 2009

Carestream nets Health Canada nod for DRX-1, January 28, 2009

Carestream to show new products at HIMSS show, January 26, 2009

Copyright © 2009 AuntMinnie.com

Latest in Digital X-Ray
2024 04 30 Scoliosis Ai Thumbnail
AI brings scoliosis monitoring on x-rays into modern era
May 1, 2024
Knee Runner
Risk of knee osteoarthritis may depend on muscle mass
April 30, 2024
Stroke Skull Xray 400
Can ChatGPT ‘data mine’ patient reports for stroke registries?
April 19, 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.
AI proposed to help radiologists detect child abuse injuries
April 17, 2024
Related Stories
2009 01 28 17 40 41 538 Soft Tissue Thumb
Digital X-Ray
Rads prefer dual-energy x-ray over standard DR in lung
2008 10 29 14 02 32 961 Eos Patient 01 Profil Thumb
Digital X-Ray
Study finds lower dose for slot-scanning DR unit
2008 10 27 13 15 07 446 Riverrain Thumb Cad 2008
Digital X-Ray
Riverain Medical
2008 10 27 13 14 54 634 Edda Cad Thumb 2008
Digital X-Ray
EDDA Technology
More in Digital X-Ray
AI brings scoliosis monitoring on x-rays into modern era
By Will Morton
An AI model has delivered a long overdue update of pediatric bone growth predictions used in x-ray imaging to monitor scoliosis.
May 1, 2024
2024 04 30 Scoliosis Ai Thumbnail
Risk of knee osteoarthritis may depend on muscle mass
By Will Morton
Physical activities like running may increase the risk of osteoarthritis in individuals with lower muscle mass surrounding the knee joints.
April 30, 2024
Knee Runner
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
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.
Bone health appears normal in transgender youth on hormone therapy
By Will Morton
Bone mineral density is only slightly below the normal average among transgender youth undergoing gender-affirming hormone therapy.
April 5, 2024
Transgender Heart
Abortion care limitations raise medicolegal concerns in IR
By Will Morton
Interventional radiology (IR) specialists should be aware of shifting individual state laws on abortion so as to not be blindsided when called on to provide care to pregnant patients.
April 3, 2024
Gavel3
Can AI help chest DDR achieve clinical adoption?
By Will Morton
Chest dynamic digital radiography (DDR) may have received a boost toward clinical use in patients with lung disorders, with researchers developing AI to perform time-consuming analysis involved in the technology.
April 1, 2024
(a) Raw example of a dynamic digital radiograph. (b) Contrast equalization using contrast-limited adaptive equalization shows improved anatomical visualization. (c) Training data is generated through manually labeling using SLEAP’s graphical user interface. (d-e) Neural network detection schematic. For each quadrant a series of two networks were used. The first identifies the quadrant center, the second using input of the first, then identifies individual anatomical landmarks within a quadrant. (d) Four neural networks were trained, each with the objective of identifying a chest quadrant centroid. The four separate quadrants are visualized as colored boxes (right upper quadrant, green; right lower quadrant, blue; left upper quadrant, red; left lower quadrant, yellow). (e) Serial centroid then anatomical identification. Two quadrant examples showing confidence maps of trained neural networks identifying quadrant centroids (left) and then anatomical confidence maps (right). Image and caption courtesy of Chest Pulmonary.
Powering down idle IR systems can reduce environmental impact
By Will Morton
Powering down idle interventional radiology (IR) imaging systems can substantially decrease carbon emissions and electricity costs.
March 21, 2024
Planet
Mercedes-Benz employs x-ray technology in crash tests
By Will Morton
Mercedes-Benz said it has performed the world's first crash with a real car using x-ray imaging technology.
March 21, 2024
An image illustrating the use of novel x-ray technology in crash tests.
Hysterectomies may be averted with UAE
By Will Morton
A minimally invasive treatment called uterine artery embolization (UAE) may be a promising alternative to hysterectomy in women due to severe bleeding after childbirth.
March 20, 2024
Uae
Training technique in AI helps preserve patient privacy
By Will Morton
The privacy of patient data in AI models trained on chest x-rays can be guaranteed – importantly, without significantly reducing the accuracy of models on large “real-world” data sets.
March 18, 2024
Ai Bias
AI flags rare humeral bone tumors on chest x-rays
By Will Morton
An AI algorithm can help identify rare tumors on upper arm bones in patients undergoing chest x-rays – findings not typically identified in daily reading practice.
March 13, 2024
The tumor localization/visualization results obtained by the proposed AI algorithm. Original chest x-ray images with a lesion (red circle = radiologists’ annotation of the lesion location) and AI's lesion localization result. These examples demonstrate that the proposed technique can successfully detect humeral tumors. Image and caption courtesy of Radiology: Artificial Intelligence.
Page 1 of 374
Next Page