Artificial intelligence predicts patients’ race from their medical images
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
The image reveals a glowing, donut-shaped ring at the Milky Way’s heart.
The advance may enable real-time imaging devices that are smaller, cheaper, and more robust than other systems.
Akasha Imaging, an MIT Media Lab spinout, provides efficient and cost-effective imaging with higher-resolution feature detection, tracking, and pose orientation.
National Science Foundation award will allow the VELION FIB-SEM to become a permanent instrument in MIT.nano’s characterization facility.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
A life-detecting radar, a microscale motor, and a quantum network architecture are among this year's most innovative new technologies.
Collaborative team wins prestigious NIH grant to investigate the physical forces that influence metastatic cancer.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
MIT researchers train a neural network to predict a “boiling crisis,” with potential applications for cooling computer chips and nuclear reactors.
Researchers could rapidly obtain high-resolution images of blood vessels and neurons within the brain.
FIB-SEM is now available to researchers across the Institute for use in characterization, nanofabrication, and rapid prototyping.
Former naval petty officer Manuel Morales now develops imaging applications to detect cardiac dysfunction in young patients.
Imaging technique could enable new pathways for reducing concrete’s hefty carbon footprint, as well as for 3-D printing of concrete.