Image fusion method uses AI to improve outcomes
Researchers have developed a new "multi-modal" image fusion method based on supervised deep learning that enhances image clarity, reduces redundant image features and supports batch processing.
imaging
Imaging technique to improve bioprinted implants
Scientists have developed a new microscopic imaging approach to take a closer look at 3D printing for developing future patient implants, as well as improved disease modelling and drug screening.
Integrating imaging with deep neural networks
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
Tiny implant for imaging of brain activity
Researchers used nanophotonic technology to develop a brain-implantable tool that can aid in the optical imaging of brain activity.
mhealth: savvy smartphone imaging systems
Development of smartphone-based imaging systems for medicine and healthcare can be optimized by newly published guidelines for holistic assessment.
Portable hybrid gamma camera should improve cancer diagnosis
Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer.
New class of quantum dots primed for imaging
A new class of quantum dots opens a range of practical applications, including medical imaging and diagnostics and quantum communication.
Using AI to generate 3D holograms in real-time
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
COVID-19: AI models not yet suitable for clinical use
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
PEAR: setting nano-imaging in motion
We spoke with Prof. Dominic Zerulla, whose company PEARlabs is developing an imaging technique that sets out to push the boundaries once more – by looking at in-vivo nano-scale processes in motion.
Key task in computer vision gets a boost
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.
AI identifies precancerous colon polyps
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.
Microfluidics and AI microscopy measure hemoglobin
Researchers at the Indian Institute of Science and SigTuple Technologies have developed a method to measure hemoglobin levels in small-volume blood samples.
3D printing perovskites on graphene makes X-ray detectors
By using 3D aerosol jet-printing to put perovskites on graphene, scientists have made X-ray detectors with record sensitivity that can greatly improve the efficiency and reduce the cost.
Ultrabright dots see beyond skin deep
Researchers are developing technology to improve high-resolution bioimaging of structures and tissues located deep within the body.
Holography ‘quantum leap’ to revolutionise imaging?
Researchers have found a way to use quantum-entangled photons to encode information in a hologram.
Device rapidly creates 3D images of skin
A portable 3D printed device produces high-resolution 3D images of human skin within 10 minutes. It could be used to assess the severity of skin conditions.
How to make the invisible visible
Scientists have discovered a new way to analyse microscopic cells, tissues and other transparent specimens, through the improvement of an almost 100-year-old imaging technique.
Biomedical research: deep learning outperforms machine learning
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Potential jurors favor use of AI in precision medicine
Physicians who follow AI advice may be considered less liable for medical malpractice than is commonly thought, according to a new study of potential jury candidates in the U.S.
Self-learning algorithms analyze imaging data
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
Deep learning-based image segmentation
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Deep learning tool measures volume of cerebral ventricles
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
AI accurately detects COVID-19 on chest x-rays
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
How AI can improve medical imaging
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
A portable terahertz laser for the lab
Researchers have developed a high-power, portable version of a device called a quantum cascade laser, which can generate terahertz radiation outside of a laboratory setting.
Machine learning algorithm detects early stages of Alzheimer's
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Smart glasses provide fluoroscopic guidance during surgery
Two surgeon tested a device that, when attached to everyday eyeglasses, can display fluoroscopic images used for surgical guidance directly to the surgeon.
