- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Qure.ai to Debut Multimodality AI Platform for Lung Cancer Imaging at ASCO 2024
In addition to detecting missed lung nodules on X-rays, the AI-powered Qure.ai lung cancer continuum platform reportedly automates lung nodule measurement on CT scans and facilitates multimodality reporting.
Offering multimodality potential in detecting, monitoring, and reporting of lung cancer, Qure.ai will introduce an artificial intelligence (AI)-enabled lung cancer continuum platform at the upcoming 2024 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.
Key attributes of the lung cancer continuum platform include AI-enabled lung nodule measurement and tracking of volumetric growth of disease, according to Qure.ai, the developer of the platform. The company said the lung cancer continuum platform enables monitoring of drug efficacy, provides triage prioritization, and facilitates multimodality reporting.
Key attributes of the Qure. ai lung cancer continuum platform, slated to debut at the American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago, include AI-enabled lung nodule detection, measurement and tracking of volumetric growth of lung disease, according to Qure.ai, the developer of the platform. (Image courtesy of Qure.ai.)
Qure.ai also emphasized the capability of the lung cancer continuum platform to improve early detection of lung cancer through detection of lung nodules missed on X-rays.
“Artificial intelligence for lung cancer powers early detection, not just as part of existing screening programs, but by finding small pulmonary nodules, often opportunistically, during general health-care imaging procedures,” noted Prashant Warier, the CEO and co-founder of Qure.ai. “This enables earlier identification and referral for imaging or treatment pathways. It also helps overcome the ongoing challenges of low lung cancer screening appointment uptake rates.”
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Study Explores Impact of Insurance on Treatment and Referrals for Patients with Uterine Fibroids
February 19th 2025Women with uterine fibroids and Medicaid coverage are significantly more likely to be treated with uterine artery embolization than those with commercial insurance, according to newly published research.
Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS
February 17th 2025In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
