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.
imaging
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.
5 ways AI is used against COVID-19
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Deep learning platform accurately diagnoses dystonia
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Using deep learning to diagnose autism
Researchers have applied these artificial intelligence techniques to autism diagnosis.
AI detects osteoarthritis years before it develops
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
AI system to prevent imaging cyberthreats
Researchers have developed an AI technique that will protect medical devices from malicious operating instructions in a cyberattack.
Federated learning allows hospitals to share data privately
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
The role of surgical 3D printing in hospitals
More and more hospitals are entering the world of 3D printing in surgery as decision-makers and surgeons are realising the immense benefits for surgeons and patients alike.
World’s smallest 3D printed endoscope
Researchers have used 3D micro-printing to develop the world’s smallest, flexible scope for looking inside blood vessels.
Neural network can determine lung cancer severity
Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
