High-resolution imaging of the cerebellum could shed light on its role in neurodegenerative diseases such as multiple sclerosis
Read article: Ultrahigh-field MRI uncovers detailed structure of the brain’s cerebellum
A machine-learning algorithm converts low-resolution brain scans from a portable MR scanner into high-resolution synthetic images amenable to automated analysis
Read article: AI creates high-resolution brain images from low-field strength MR scans
Unique fluorescence emissions due to the presence of hypoxia could help surgeons distinguish between healthy and cancerous tissue
Read article: Delayed fluorescence imaging helps identify cancerous tissue during surgery
A deep-learning model can predict the 10-year risk of death from heart attack or stroke using a single chest X-ray
Read article: AI model determines cardiovascular risk from routine chest X-ray
Researchers use 7 T MR imaging to identify structural microvascular changes in different types of migraine
Read article: Ultrahigh-field MRI reveals brain changes in migraine sufferers
Patients diagnosed with early-stage lung cancer via low-dose CT screening have significantly better outcomes
Read article: Lung cancer screening dramatically increases long-term survival
Proof-of-concept study demonstrates high-temporospatial-resolution imaging of neuronal activity in a living mouse’s brain
Read article: High-resolution MRI enables direct imaging of neuronal activity
Ultrahigh-resolution CT combined with deep learning improves the visibility of bone lesions associated with multiple myeloma
Read article: Photon-counting CT improves detection of myeloma bone disease
New optical clearing microscopy technique increases imaging depth in biological tissue
Read article: Ultrasound-induced gas bubbles reduce optical scattering
Tami Freeman examines two medical imaging breakthroughs that led to physicists winning the Nobel Prize for Physiology or Medicine
Read article: Breaking boundaries: how physicists won the Nobel Prize for Physiology or Medicine
