A combination of three optical spectroscopic techniques shows potential to improve in vivo detection and delineation of glioblastoma
Read article: Multimodal spectroscopy detects brain tumours in vivo
CT and X-ray images of retained ballistic fragments help identify whether patients with gunshot wounds are safe to have MRI scans
Read article: X-ray images determine MRI safety of embedded bullet fragments
An artificial neural network can generate high-contrast near-infrared images recorded using biocompatible probes
Read article: Deep learning sharpens near-infrared images for cancer diagnostics
A low-cost, portable brain MRI scanner could be mounted in an ambulance, wheeled into a patient's room or installed in small clinics across the globe
Read article: Portable brain MRI scanner increases access to neuroimaging
The annual meeting of the Radiological Society of North America highlighted how artificial intelligence is being used to augment medical imaging
Read article: RSNA 2020: AI highlights from an all-virtual annual meeting
Four-dimensional MR imaging of blood flow in the foetal heart could one day help clinicians detect congenital heart disease
Read article: Could 4D MRI be a major leap forward for foetal imaging?
Algorithm finds warning signs of dementia on MRI brain scans with more than 70% accuracy
Read article: Lesion mapping tool makes early signs of dementia easier to spot
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
