The built-in RGB cameras in a smartphone can be used to create a hyperspectral imaging system for analysis and monitoring of skin features
Read article: Smartphone camera enables hyperspectral imaging for skin analysis
Ongoing investigation characterizes the most common CT findings associated with 2019-nCoV and identifies possible markers of disease progression
Read article: CT traces disease progression in novel coronavirus
A new hyperpolarized carbon-13 MRI technique could identify the optimal treatment for individual breast cancer patients
Read article: Magnetized molecules monitor breast cancers
A systematic review of studies assessing skin cancer diagnosis apps reveals that the studies are of poor quality and the apps are unreliable
Read article: Smartphone apps fall short on skin cancer diagnosis
New book provides the first comprehensive overview of neural networks and tomographic reconstruction methods
Read article: Machine learning for tomographic imaging
Artificial intelligence-derived image features predict prostate cancer recurrence with high accuracy
Read article: Opening the AI box: can deep learning predict cancer recurrence?
Stimulated Raman histology combined with artificial intelligence could provide near real-time brain tumour diagnosis during surgery
Read article: Raman imaging plus AI classifies brain cancers during surgery
Generating and detecting sound waves remotely means patients can be spared the discomfort that sometimes comes with conventional ultrasound imaging
Read article: Laser ultrasound enables diagnoses at a distance
Scientists receive funding to develop advanced imaging tools for assessing drug delivery to the skin
Read article: Collaboration receives $1.25m to accelerate development of effective topical drugs
Combining GPU-based Monte Carlo simulations with automatic image segmentation allows personalized dose estimation in real time
Read article: CT dose calculations can be both quick and accurate
