In ophthalmology we have a wealth of eye images—fundus photographs, optical coherence tomography (OCT), etc.—that are fundamental to the diagnosis, monitoring, and treatment of a number of eye diseases, so this field is ideally suited for deep learning applications.
We are delighted to have received MHLW approval of the Novasight Hybrid system. Clinical data in the past several years has increasingly demonstrated that intravascular imaging with either IVUS or OCT has significant potential to improve outcomes in the large number of patients being treated with angioplasty and stenting for coronary artery disease. However, there are substantial differences between the images generated by these two technologies. Until now, physicians in Japan have had to choose between IVUS or OCT when performing percutaneous coronary interventions (PCI). We are delighted that Conavi and Japan Lifeline can now begin to offer both of these highly complementary imaging techniques on a single catheter to physicians in Japan.
It is such a huge honor to be recognized with this prestigious industry award for best healthcare product in 2020, and we’d like to thank SPIE and Photonics Media for sponsoring this incredible opportunity...Our team is working hard to provide better options to millions of patients who suffer from middle ear infections. Following our recent 510(k) clearance from the FDA, we cannot wait to see how the TOMi Scope impacts the standard of care for this incredibly common disease.
We developed an algorithm that can be used to automatically analyze optical coherence tomography (OCT) images of the retina to predict whether a patient is likely to respond to anti-VEGF treatments...This research represents a step toward precision medicine, in which such predictions help clinicians better select first-line therapies for patients based on specific disease conditions.
