Read article: Innovation: patent applications review
Innovation: patent applications review
A round-up of some recent international patent applications in medical imaging
Read article: Innovation: patent applications review
Read article: Deep-learning algorithm estimates gestational age from smartphone images
Deep-learning algorithm estimates gestational age from smartphone images
A fully-automatic deep-learning algorithm can estimate the gestational age of premature infants via smartphone lens imaging
Read article: 3D X-ray techniques can enhance medical imaging
3D X-ray techniques can enhance medical imaging
Two new approaches to creating 3D X-ray images could improve disease screening and allow imaging of delicate biological samples
Read article: Image analysis technique may reduce unnecessary breast biopsies
Image analysis technique may reduce unnecessary breast biopsies
Combining three-compartment image analysis of breast masses with mammography radiomics could significantly reduce unnecessary breast biopsies
Read article: Machine learning algorithms generate realistic digital breast phantoms
Machine learning algorithms generate realistic digital breast phantoms
Super-resolution digital breast phantoms generated from patient data enable accurate simulations of new imaging systems
Read article: How does MRI work?
How does MRI work?
Steven Jackson explains the principles behind magnetic resonance imaging
Read article: Artificial intelligence helps reduce gadolinium dose in MR imaging
Artificial intelligence helps reduce gadolinium dose in MR imaging
A deep learning algorithm that creates full-dose MR images from low-dose scans could reduce the level of gadolinium needed for high-quality imaging
Read article: Machine learning identifies foetal size from ultrasound images
Machine learning identifies foetal size from ultrasound images
Machine learning techniques can be used to determine foetal measurements, relieving the burden on obstetricians
Read article: Multi-modality imaging predicts tumour recurrence
Multi-modality imaging predicts tumour recurrence
Using PET and MRI to predict recurrence probability in glioblastoma patients could allow increased radiotherapy dose delivery to high-risk tumour regions
Read article: MetaboliQs project targets breakthrough in cardiac metabolic MRI
MetaboliQs project targets breakthrough in cardiac metabolic MRI
The MetaboliQs consortium will combine quantum sensing and medical imaging for precision diagnostics and personalized treatment of cardiovascular diseases
