An artificial neural network can differentiate between six common types of brain cancer and healthy tissue in an MRI scan
Read article: Deep learning model automates brain tumour classification
Immersive virtual reality video game leaves users without any perception of having entered an MRI machine
Read article: I spy: a virtual reality system in the MRI
A spectroscopic liquid biopsy technique can detect both small and low-grade brain tumours
Read article: Blood test detects brain tumours at an early stage
A flexible X-ray detector made from non-toxic metal–organic frameworks could provide safer and more environmentally friendly radiology devices
Read article: Flexible X-ray detector constructed without harmful heavy metals
Researchers combine multi-modality medical imaging, personalized heart models and machine learning to assess arrythmia risk in patients with cardiac sarcoidosis
Read article: Imaging, modelling and machine learning combine to predict risk of sudden cardiac death
Handheld device can locate margins of cancerous tissue in the pancreas, allowing for more accurate cancer excision
Read article: MasSpec Pen detects cancer tissue in real time during surgery
A metric that determines patient size directly from X-ray images could enable automated patient-specific dosimetry
Read article: Estimating patient size from X-ray data improves radiation risk assessment
Optical signals provide a bridge between EEG and functional MRI in a novel trimodal brain scanning system
Read article: Measuring brain function with three techniques simultaneously offers new insight into the working mind
A new deep-learning framework achieves up to 97% accuracy in detecting SARS-CoV-2 infection from patient lung scans
Read article: Transfer-learning models detect COVID-19 from lung CT images
Deep learning method could improve diagnosis of neuron-damaging eye and brain diseases
Read article: AI model accurately localizes optical neuronal cells
