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