Agfa nets HealthTrust contract

AuntMinnie.com staff writers
Jun 2, 2010

Agfa HealthCare of Greenville, SC, has been awarded a new three-year contract by HealthTrust Purchasing Group (HPG) to provide computed radiography products to the group purchasing organization's members.

HPG has more than 1,400 not-for-profit and for-profit acute care hospitals, 120 alternate care sites, and 3,600 physician practices in the U.S. The contract went into effect on April 1.

Related Reading

Agfa HealthCare's Q1 revenues dip, May 24, 2010

Agfa inks large Brazilian order, May 19, 2010

Agfa launches DX-D 500n DR in Canada, May 4, 2010

Agfa lands German sales, April 21, 2010

Agfa HealthCare sales slip in 2009, April 5, 2010

Copyright © 2010 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
2010 04 26 13 09 41 127 De Hoop Chest Screening Thumb
Digital X-Ray
Digital radiography falls short in lung cancer screening trial
2010 04 06 11 17 03 958 Mr Image Thumb
Digital X-Ray
MRI finds fractures missed by x-ray among elderly ER patients
2010 04 02 14 21 22 219 Paolo thumb 04 10 70 70
Digital X-Ray
Cardiac cath delivers high radiation doses to operators
2010 03 24 13 07 19 617 Iqqa Chest 10 Thumb
Digital X-Ray
Will new DR technologies offer alternative to CT? Part 2
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