A deep learning model could reduce reporting times for abnormal head MRI scans by flagging clinically relevant abnormalities at the time of imaging
Read article: Deep learning speeds triage of brain scans
Kernel Flow is a non-invasive optical brain imaging system fashioned into a compact and wearable helmet for measuring brain function
Read article: Could optical brain imaging helmets be the future of wearable technology?
Integrating a Talbot-Lau interferometer into a clinical CT scanner could enable dark-field CT in humans
Read article: Dark-field CT edges ever nearer to clinical applications
A machine learning model that combines data from PET and CT angiography can predict the risk of future heart attacks better than clinical assessment
Read article: Machine learning and advanced imaging improve prediction of heart attacks
Artificial intelligence can help radiologists reduce their workload when reading digital breast tomosynthesis images
Read article: Study underlines AI’s clinical potential in breast cancer screening
The use of deep learning to analyse retinal images could identify individuals at risk of a future heart attack
Read article: Routine eye scans could provide cost-effective screening for heart disease
Combining sight tests with brain imaging could help guide personalized rehabilitation strategies in stroke survivors with vision loss
Read article: Multimodal MRI reveals brain areas that can still ‘see’ after a stroke
An optical probe that distinguishes cancerous from healthy tissue could help surgeons pinpoint the best place for a biopsy
Read article: Optical biopsy system aims to improve liver cancer diagnosis
A new dual-axis optical coherence tomography system allows researchers to look deeper into biological tissue
Read article: Angled light beams allow OCT to image deeper into skin
Machine learning techniques applied to MR images can decode gaze patterns and eye movements without a camera – even when the eyes are closed
Read article: Deep neural networks track eye movements during MRI scans
