Privately held R2 Technology has taken the first step toward going public. The pioneer of computer-assisted diagnosis has filed a registration statement with the Securities and
Privately held R2 Technology has taken the first step toward going public. The pioneer of computer-assisted diagnosis has filed a registration statement with the Securities and Exchange Commission for an initial public offering of common stock. Net proceeds will be used for general corporate purposes, including working capital, R&D, sales and marketing, clinical and regulatory studies, and capital expenditures. A portion may also be used to acquire or invest in complementary businesses, products, and technologies. R2 develops, manufactures, and sells proprietary medical systems to assist radiologists in the detection of cancer. The company's ImageChecker CAD system analyzes medical images, marking features that may indicate cancer. Prior to the registration, the company secured $14 million in venture capital financing. That round brought the total of VC financing to $76 million since the company was incorporated in 1993.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.