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: Portable MRI diagnoses stroke at the patient bedside
Read article: Portable MRI diagnoses stroke at the patient bedside
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: Deep learning improves multimodality imaging for breast cancer detection
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: Next-generation measurement systems: future challenges and opportunities
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 can decrease radiation dose in paediatric CT scans
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: Deep learning speeds triage of brain scans
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
Read article: Could optical brain imaging helmets be the future of wearable technology?
Dark-field CT edges ever nearer to clinical applications
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
Machine learning and advanced imaging improve prediction of heart attacks
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
Study underlines AI’s clinical potential in breast cancer screening
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
Routine eye scans could provide cost-effective screening for heart disease
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
