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
Read article: 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: 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: 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: 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: Multimodal MRI reveals brain areas that can still ‘see’ after a stroke
Combining sight tests with brain imaging could help guide personalized rehabilitation strategies in stroke survivors with vision loss
