MRI

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.

A promising future for soft bioelectronic interfaces

Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.

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.

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.

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.

Machine learning algorithm detects early stages of Alzheimer's

An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.

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.

AI offers clues to a 500-year old mystery

Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.

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.

Machine learning enhances brain tumour diagnosis

A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.

AI accelerates blood flow MRI

Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.

AI for very young brains

Scientists have developed an innovative new technique that uses artificial intelligence to better define the different sections of the brain in newborns during a magnetic resonance imaging (MRI) exam.

AI & MRI look into the genome of brain tumors

Researcher have developed a computer method that uses MRI and machine learning to rapidly forecast genetic mutations in glioma tumors,

Deep learning boosts MRI detection of ADHD

Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).

Robots with tiny lasers could soon erase regrettable tattoos

Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.

Robotic system for endovascular instrument guidance

Researchers have developed a new method to guide endovascular instruments into complex vascular structures that were inaccessible to endovascular surgeons until now.

Neurons that map memories identified using VR

Scientists correlate neuronal activity in the human entorhinal cortex with place-based memories; finding sheds new light on how the brain processes spatial memory.

Facial recognition software IDs individuals from MRI scans

Though identifying data typically are removed from medical image files before they are shared for research, a study finds that this may not be enough to protect patient privacy.

‘Uncanny Valley’: Brain network evaluates robot likeability

Scientists have identified mechanisms in the human brain that could help explain the the unsettling feeling we get from robots and virtual agents that are too human-like.

3D printed baby dummy for resuscitation training

A researcher developed a 3D printed baby dummy, based on an MRI scan of a real newborn baby, which could improve the training of the reanimation procedure.

Technology pinpoints biopsies to detect prostate cancer

Medical software that overlays tumour information from MRI scans onto ultrasound images can help guide surgeons conducting biopsies and improve prostate cancer detection.

MURAB: Roboter-assisted diagnostic of breast cancer

The Murab project is developing technology that will make it possible to take more accurate biopsies and diagnose cancer and other illnesses faster.

AI may help reduce gadolinium dose in MRI

Researchers are using artificial intelligence to reduce the dose of a contrast agent that may be left behind in the body after MRI exams, according to a study presented at RSNA.

A 3D printed phantom head for MR reseach

Sossena Wood 3D, Pitt bioengineering grad student, prints a phantom head for testing 7T MRI imaging in the Radiofrequency Research Facility.

3D virtual simulations of irregular heartbeats

Researchers at Johns Hopkins University have successfully performed 3D personalized virtual simulations of the heart.

Using a virtual 3D heart to fight atrial fibrillation

A team at the University of Auckland's Bioengineering Institute has created a virtual 3D heart that could have a major impact on treatment of the most common heart rhythm disturbance, atrial fibrillation (AF).

World’s first intra-operative MRI-guided robot for neurosurgery

An engineer designed the first neurosurgical robotic system capable of performing bilateral stereotactic neurosurgery inside a MRI scanner.

Creating a piece of mind

New 3D printing technique enables faster, better, and cheaper models of patient-specific medical data for research and diagnosis.