Read article: Advanced algorithm predicts outcome for patients with severe brain injury
A deep-learning model analyses CT scans and clinical data to enable appropriate care following severe traumatic brain injury
Read article: Lighting up single cells to detect lung cancer earlier
A technique that identifies lung cancer cells in real time during biopsy could enable disease detection earlier and with more confidence
Read article: MRI’s ‘forgotten’ contrast agent makes dramatic reappearance
Deuterium has made a comeback in the research realm as a safe, effective contrast agent for MRI
Read article: Can machine learning deliver one-minute brain MRI scans?
With help from a machine-learning algorithm, a quantitative technique called MR fingerprinting could make a one-minute clinical brain MRI scan a reality
Read article: Portable MRI diagnoses stroke at the patient bedside
A low-field portable MRI scanner could bring rapid neuroimaging to underserved and remote locations
Read article: Deep learning improves multimodality imaging for breast cancer detection
A new deep-learning algorithm allows real-time reconstruction of images that combine optical and MRI data
Read article: Next-generation measurement systems: future challenges and opportunities
The IOP Publishing journal, Measurement Science and Technology, explores the challenges and opportunities of advanced measurement systems
Read article: Deep learning can decrease radiation dose in paediatric CT scans
Applying deep learning-based image reconstruction to low-tube-voltage paediatric CT allows low-dose scans without degrading image quality
Read article: Deep learning speeds triage of brain scans
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: Could optical brain imaging helmets be the future of wearable technology?
Kernel Flow is a non-invasive optical brain imaging system fashioned into a compact and wearable helmet for measuring brain function
