
AI measures fat around heart to predict diabetes
Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
A non-invasive, wearable, magnetic brain stimulation device could improve motor function in stroke patients.
3D printing: Researchers from across disciplines are developing new approaches and new materials for creating soft tissues.
Students create 3d printed healthcare simulators for medical training.
Scientists develop a software that can be used in combination with MRI data for research and diagnosis.
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
As part of the “MED²ICIN” lighthouse project, seven Fraunhofer Institutes are presenting the first prototype of a digital patient model.
AI can detect signals that are informative about mental health from questionnaires and brain scans.
Engineers have developed a new type of wearable device that is 3D printed to custom fit the wearer.
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
In a major scientific leap, researchers have created a quantum microscope that can reveal biological structures that would otherwise be impossible to see.
Experts at Kessler Foundation led the first pilot randomized controlled trial of robotic-exoskeleton assisted exercise rehabilitation effects on mobility, cognition, and brain connectivity in people with substantial MS-related disability.
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.
Scientists in Dresden are expanding their digital health expertise in multiple sclerosis (MS) therapy and research with an ambitious scientific project - creating a "digital twin“ from data.
Researchers found that patients participating in VR sessions experienced reduced levels of anxiety and depression.
Lifelike fetal 3D models show anatomical details that help surgeons prepare and predict challenges for delicate and complicated surgery.
X-ray vision, context-sensitive guidance, coordinator, training assistant and more: augmented reality (AR) has hit the OR.
Medtronic partners with Surgical Theater to provide the first augmented reality platform for use in real-rime during complex cranial procedures.
Cognitive motor training helps in the fight against Alzheimer’s and dementia, as demonstrated for the first time in a study by an international team of researchers .
Scientists have grown small amounts of self-organizing brain tissue, known as organoids, in a tiny 3D-printed system that allows observation while they grow and develop.
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.
Using mathematical image processing, scientists have found a way to create digital twins from human hearts.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Researchers have achieved promising results with a new cancer therapy using focused ultrasound (FUS) and ionizing radiation.
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.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
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.
Surgeons will soon have a powerful new tool for planning and practice with the creation of the first full-sized 3D bioprinted model of the human heart.
Stratasys Ltd. announced it has successfully sold and installed the J750 Digital Anatomy 3D printer at healthcare institutions and medical service providers in major markets across the globe.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
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.
Researchers have applied these artificial intelligence techniques to autism diagnosis.
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
One of the crucial future technologies in surgery is Augmented Reality. Most experts agree that AR will increase safety and efficiency, improve surgical training and decrease costs.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Researchers have developed an AI technique that will protect medical devices from malicious operating instructions in a cyberattack.
Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.
Researchers have combined machine learning, 3D printing and high performance computing simulations to accurately model blood flow in the aorta.
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.
Using VR to make threats appear near or far is what makes it harder to extinguish the fear of a close-up threat and more likely that you’ll have some long-term stress from the experience.
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
Establishing whether a patient is suffering from COVID-19 within a few minutes is possible using ultrasound machines that are enhanced with artificial intelligence.
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.
Researchers have developed an artificial intelligence platform to dramatically increase the efficiency of drug combination therapies.
Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.
Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.
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.
Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients.
Various prototypes of 3D-printed biopsy robots could alleviate the suffering of patients and make breast cancer testing more accurate and efficient.
Researcher have developed a computer method that uses MRI and machine learning to rapidly forecast genetic mutations in glioma tumors,
Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
Researchers have developed a new method to guide endovascular instruments into complex vascular structures that were inaccessible to endovascular surgeons until now.
Scientists correlate neuronal activity in the human entorhinal cortex with place-based memories; finding sheds new light on how the brain processes spatial memory.
Using the Microsoft HoloLens mixed reality platform, scientists have created the first interactive holographic mapping system of human brain.
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.
A new study enhances our understanding of how the brain learns in virtual reality.
Researchers found that using 3D models to prepare for kidney tumor surgeries resulted in substantial improvements, including shorter operating times.
Photomedas is the name of a non-invasive system that will help measure the cranial deformation of infants – from newborns, to 12-month-old babies.
Spectroplast has developed a method to make silicone products such as hearing aids, breast prosthesis for breast cancer patients using a 3D printer.
Combining learning in virtual reality and brain scans, researchers describes how a temporal map of memories is created in the entorhinal cortex.
Researchers have developed a technique to 3D bioprint collagen, allowing them to fabricate fully functional components of the human heart.
Revolutionary material could lead to 3D-printable magnetic liquid devices for the fabrication of artificial cells that deliver targeted drug therapies to diseased cells.
With the new unveiled 3D microscope, researchers can observe the details of how cells operate – all the way down to their organelles.
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
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.
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.
Wireless body sensors could replace the tangle of wire-based sensors that currently monitor babies in hospitals’ NICU and pose a barrier to parent-baby cuddling and physical bonding.
Spinal cord injury: In rat models, the novel scaffolding mimicked natural anatomy and boosted stem cell-based treatment; the approach is scalable to humans.
Medical software that overlays tumour information from MRI scans onto ultrasound images can help guide surgeons conducting biopsies and improve prostate cancer detection.
The Murab project is developing technology that will make it possible to take more accurate biopsies and diagnose cancer and other illnesses faster.
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 new wireless, Band-Aid-like sensor could revolutionize the way patients manage hydrocephalus.
AR offers a new platform to help physicians better visualize complex medical data, particularly before and during medical procedures.
Sossena Wood 3D, Pitt bioengineering grad student, prints a phantom head for testing 7T MRI imaging in the Radiofrequency Research Facility.
Researchers at Johns Hopkins University have successfully performed 3D personalized virtual simulations of the heart.
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).
Study pinpoints four brain-guided dimensions of psychopathology — mood, psychosis, fear, and disruptive behavior in youth.
An engineer designed the first neurosurgical robotic system capable of performing bilateral stereotactic neurosurgery inside a MRI scanner.
New 3D printing technique enables faster, better, and cheaper models of patient-specific medical data for research and diagnosis.
Researcher have developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.
Machine learning has detected one of the commonest causes of dementia and stroke, in CT brain scans, more accurately than current methods.