Diagnostic AI algorithm focuses on privacy protection
Open-source framework trains deep-learning models while meeting high standards of data protection and privacy
Read article: Diagnostic AI algorithm focuses on privacy protection
Read article: Diagnostic AI algorithm focuses on privacy protection
As MRI strength increases, so do concerns about magnet safety
With increasing clinical use of stronger and faster MRI scanners, it’s important to consider the potential effects on patients
Read article: As MRI strength increases, so do concerns about magnet safety
MRI reveals deterioration of brain’s reward circuitry in younger-onset dementia
An Australia-based research team is the first to identify a unique clinical feature of frontotemporal dementia
Read article: MRI reveals deterioration of brain’s reward circuitry in younger-onset dementia
Personalized brain temperature maps created using MRI and biophysical models
Non-invasive imaging of brain temperature could help doctors monitor patient recovery and treatment after brain injury
Read article: Personalized brain temperature maps created using MRI and biophysical models
Ultrafast ultrasound maps tiny blood vessels deep in the human brain
Transcranial ultrafast ultrasound localization microscopy of injected microbubbles maps human brain vasculature with microscopic resolution
Read article: Ultrafast ultrasound maps tiny blood vessels deep in the human brain
Deep learning helps doctors predict gastric cancer metastasis
A deep-learning framework achieves high performance in detecting metastases in lymph nodes
Read article: Deep learning helps doctors predict gastric cancer metastasis
Contrast-enhanced OCT visualizes vascular leakage in the retina
A new take on optical coherence tomography provides high-resolution measurements of retinal vascular leakage
Read article: Contrast-enhanced OCT visualizes vascular leakage in the retina
High-field versus low-field MRI: is it time for a rethink?
Ultralow-field MRI scanners offer high flexibility at low cost, while ultrahigh-field MRI could prove optimal for imaging neurological disease
Read article: High-field versus low-field MRI: is it time for a rethink?
Diffusion MRI and machine learning models classify childhood brain tumours
Diffusion-weighted MR imaging and machine learning techniques can accurately distinguish between common types of paediatric brain tumours
Read article: Diffusion MRI and machine learning models classify childhood brain tumours
Sub-diffraction imaging of the human eye visualizes photoreceptors with unprecedented detail
The ability to noninvasively image photoreceptors with subcellular resolution could enable earlier detection of eye diseases
Read article: Sub-diffraction imaging of the human eye visualizes photoreceptors with unprecedented detail
