A deep-learning model trained to detect occlusions of large vessels has the potential to speed up clinical diagnosis
Read article: Deep learning enables rapid detection of stroke-causing blockages
A supportive algorithm could help radiologists identify potentially life-threatening cerebral aneurysms on head CT angiograms
Read article: Deep-learning-based algorithm helps radiologists detect cerebral aneurysms
Researchers are developing a low-cost fibre-optic spectrometer that can rapidly identify and characterize skin cancers
Read article: Mid-IR spectrometer provides non-invasive skin cancer detection
A deep neural network can create high-quality material-specific images from conventional clinical CT scans
Read article: Deep learning transforms standard CT scans towards spectral images
Biomarker can identify risks such as cerebral palsy
Read article: Software tool for MRI predicts motor development disorders in preterm babies
Partnership will use diagnostic imaging tools to explore health issues associated with microgravity, and apply this knowledge to patients on Earth
Read article: Radiologists and space experts to develop imaging tools for space missions
Human anatomical models with simulated coronavirus lung pathologies have could optimize CT and radiography acquisitions to effectively screen and manage COVID-19 patients
Read article: Virtual imaging trials aim to optimize COVID-19 screening
Tattoo inks and food colourings combined with nanoparticles show promise as diagnostic imaging agents
Read article: Everyday dyes paint cells for early cancer detection
Piezoelectric-OLED hybrid needs no electronic signal processing
Read article: Ultrasound signals are converted directly to visible images by new device
A webinar hosted by the UK’s National Physical Laboratory highlighted medical imaging technologies that could improve outcomes for cancer patients
Read article: NPL showcases developments in cancer imaging technologies
