AI has identified features relevant to cancer prognosis that were not previously noted by pathologists, leading to a higher accuracy of prostate cancer recurrence.
Patients with neurological disorders, who may have impaired movement, could in future have their conditions assessed remotely rather than needing to meet with a doctor face to face.
Imaging the brain's activity in various states is important to get a more accurate picture of how depression manifests in a particular patient.
Thermo Scientific Avizo2D is an AI-powered automated imaging and analysis software designed to help materials and life science researchers acquire fast statistics from their electron microscopy (EM) images without extensive image processing expertise.
Bitplane's Imaris 9.3 is a software solution for correlative microscopy, enabling the possibility of opening multiple 2D, 3D or 4D datasets of differing spatial and temporal resolutions in the same scene.
Faced with increasing demand for histopathology services in a vast but sparsely populated area in Australia, Sullivan Nicolaides Pathology was looking to increase its workflow efficiency.
An international challenge compared the diagnostic skills of 511 physicians with 139 computer algorithms from 77 different machine learnings labs.
German researchers are currently involved in an interdisciplinary and multi-institutional project aimed at making automated diagnoses from a software program more transparent.
Developed by start-up company Lookinglass, the app is designed to reduce the number of physical appointments required with doctors and occupational therapists.
The automated system is able to successfully identify between diseased and non-diseased eye tissue, in real time, through a simple scanning process.
The AstroQuest citizen science project seeks volunteers to study images of galaxies and figure out which light is coming from which galaxy.
Image-Pro v10 analysis software makes it easy to capture, process, measure, analyse and share images and data.
Adelaide researchers are creating machines capable of undertaking complex tasks, acknowledging the outcomes and improving their performance accordingly.
Entering the unseen world of atoms, users will be able to follow three possible journeys of the neutron inside the OPAL multipurpose reactor.
A virtual reality program created by the ARC Centre of Excellence in Plant Energy Biology takes students on an immersive journey through the cells of plants.