Artificial Intelligence: Page 82

CT system developers utilize AI to boost patient care
By Abraham Kim
Disease detection with CT has benefited greatly from advancements in artificial intelligence (AI) software during the past year. To make the case at the ECR 2019 technical exhibition, many vendors are dedicating their CT booth presentations to the integration of AI into the modality. The rewards for patient care are visible for all delegates to see during this week's congress.
March 1, 2019
2019 03 02 00 49 9031 Siemens Ai Rad Ct 20190302005701
Ziosoft highlights new software features at ECR
By AuntMinnieEurope.com staff writers
Software developer Ziosoft is highlighting a range of new capabilities for its Ziosoft2 advanced visualization software at ECR 2019 in Vienna.
March 1, 2019
Deep-learning MRI algorithm aids in neurological diagnoses
By Wayne Forrest
VIENNA - A newly developed deep-learning algorithm has shown promising results in the automated diagnosis of several neurological diseases based on routine MRI scans, according to a study presented at ECR 2019.
March 1, 2019
2019 02 26 21 41 8471 Ecr 2019 400
AI dominates at ECR 2019's technical exhibition
By Erik L. Ridley
In the exhibition area at ECR 2019, artificial intelligence (AI) is everywhere. Unsurprisingly, it is the dominant theme at this year's congress. In addition to new applications for enhancing radiology workflow and image processing, notable industry trends include the ongoing development of software platforms designed to make it easier for medical imaging professionals to adopt AI in clinical practice.
February 28, 2019
2019 03 01 00 14 7778 2019 03 Ecr Today Ai Siemens 20190301004645
AI algorithm predicts glioblastoma patient survival
By Erik L. Ridley
VIENNA - An artificial intelligence (AI) algorithm shows promise for helping radiologists predict progression-free survival in patients with glioblastoma based on the analysis of postoperative MRI scans, according to a presentation on Friday at ECR 2019.
February 28, 2019
2019 02 26 21 41 8471 Ecr 2019 400
Kheiron launches AI software for breast cancer screening
By AuntMinnieEurope.com staff writers
U.K. start-up Kheiron Medical Technologies has launched Mia, its artificial intelligence (AI) software for breast cancer screening.
February 28, 2019
Zebra wins CE Mark for emergency imaging AI algorithms
By AuntMinnieEurope.com staff writers
Artificial intelligence (AI) software developer Zebra Medical Vision has received the CE Mark for two AI algorithms capable of flagging critical cases on emergency x-rays and CT scans.
February 28, 2019
GE focuses on artificial intelligence at ECR 2019
By Brian Casey
VIENNA - New advances in artificial intelligence (AI) -- including a partnership with the European Society of Radiology to highlight AI applications in radiology this week -- are among the highlights in the booth of GE Healthcare at ECR 2019.
February 28, 2019
2019 02 28 21 46 6167 Ecr Ge Bone Vcar 20190228212827
Aidoc receives CE Mark for pulmonary embolism AI
By AuntMinnieEurope.com staff writers
Israeli artificial intelligence (AI) medical imaging start-up Aidoc has received the CE Mark for identifying and triaging pulmonary embolism on pulmonary CT angiograms using its deep learning-based software.
February 28, 2019
2019 02 27 22 12 0290 Aidoc Ai Pe 20190227220744
iCAD partners with Swedish team on AI for breast cancer
By AuntMinnieEurope.com staff writers
Computer-aided detection (CAD) developer iCAD will collaborate with researchers from the Karolinska Institute in Stockholm on developing an artificial intelligence (AI) algorithm that can determine an individual's risk of breast cancer.
February 27, 2019
AI-based CAD software improves breast cancer detection
By Erik L. Ridley
VIENNA - Computer-aided detection (CAD) software based on artificial intelligence (AI) technology can help radiologists of all levels of experience detect more breast cancers and improve accuracy, according to research presented on Thursday at ECR 2019.
February 27, 2019
2019 02 26 21 41 8471 Ecr 2019 400
AI enables real-time patient dose estimates on CT exams
By Erik L. Ridley
VIENNA - An artificial intelligence (AI) algorithm can provide real-time, patient-specific radiation dose estimates on single- or dual-source CT studies at an accuracy approaching the level of Monte Carlo simulations, according to a presentation on Wednesday at ECR 2019.
February 26, 2019
2019 02 26 21 41 8471 Ecr 2019 400
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