Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
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A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.
Researchers are using generative adversarial networks to improve brain-computer interfaces for people with disabilities.
New prosthetic technologies that stimulate the nerves could pave the way for prostheses that feel like a natural part of the body and reduce the phantom limb pain commonly endured by amputees.
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
The wearable devices aim to reduce or redistribute spine loading associated with heavy manual work.
A machine learning-based approach uncovered disruptions of brain connectivity in children displaying aggression.
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Researchers compared traditional mindful breathing and virtual reality, 3D-guided mindful breathing to reduce pain.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
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.
Researchers used a virtual reality environment to train subjects, then showed that different areas of the hippocampus are activated for different types of memories.
A wearable brain-machine interface system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome.
Scientists have captured the real-time electrical activity of a beating heart, using a sheet of graphene to record an optical image of the faint electric fields generated by the rhythmic firing of the heart's muscle cells.
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
Medtronic partners with Surgical Theater to provide the first augmented reality platform for use in real-rime during complex cranial procedures.
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.
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Revealing details of the internal structure of 'mini-brains' could help accelerate drug studies and may offer alternatives to some animal testing.
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
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.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
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.
New muscle has successfully been created in mice using a minimally invasive technique dubbed ‘intravital 3D bioprinting’.
Researchers have developed a system for integrating artificial chip-based 'neurons' with real neurons using QR-code-like patterns of light to facilitate communication.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
Researchers demonstrated a methodology that combines the bioprinting and imaging of glioblastoma cells in a way that more closely models what happens inside the human body.
Using a robot to treat brain aneurysms is feasible and could allow for improved precision when placing stents, coils and other devices.
For the first time, researchers managed to make intact human organs transparent. Using microscopic imaging they could revealed underlying complex structures of the see-through organs at the cellular level.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Researchers have developed a new method to guide endovascular instruments into complex vascular structures that were inaccessible to endovascular surgeons until now.
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
Researchers have devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting.
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
Watching immersive 3D videos of icy Arctic scenes helps to relieve burning pain and could hold hope for treating chronic pain.
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
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.
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
A new study enhances our understanding of how the brain learns in virtual reality.
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
Researchers have developed a tiny nanolaser that can function inside of living tissues without harming them.
A 4-limb robotic system controlled by brain signals helped a tetraplegic man to move his arms and walk using a ceiling-mounted harness for balance.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
A wireless sensor small enough to be implanted in the blood vessels of the human brain could help clinicians evaluate the healing of aneurysms.
Scientists have now produced tiny diamonds, so-called "nanodiamonds", which could serve as a platform for both the therapy and diagnosis of brain diseases.
Combining learning in virtual reality and brain scans, researchers describes how a temporal map of memories is created in the entorhinal cortex.
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.
Researchers have developed a technology to help clinicians "see" and map patient pain in real-time, through special augmented reality glasses.
Researchers show that by using a noninvasive brain-computer interface they could control a robotic arm that’s tracking a cursor on a computer screen.
By speaking the brain’s language, the material is a portal between electronics and the brain.
Researchers have built a device that could protect your pacemaker, other medical tech from remote hacks before they happen.
Researchers have shown that they can use online neurofeedback to modify an individual's arousal state to improve performance in a demanding sensory motor task.
Royal Philips unveiled a unique mixed reality concept developed together with Microsoft Corp. for the operating room of the future.
Researchers have developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
Scientists plan to edit their genomes to correct rare genetic mutations and slow or halt progression of their diseases.
Researchers have developed a new technique of external ventricular drain insertion that involves the use of a mixed-reality holographic computer headset.
Researchers have developed a video game to study whether video games can boost kids' empathy, and to understand how learning such skills can change neural connections in the brain.
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.
A new robotic system developed can help diagnose neurodegenerative diseases, such as dementia and Parkinson, through the analysis of eye movements.
Graphene electrodes could enable higher quality imaging of brain cell activity.
Machine learning has detected one of the commonest causes of dementia and stroke, in CT brain scans, more accurately than current methods.