
Augmented reality provides insights during liver surgery
Researchers are developing 3D technologies for surgeons. The aids for surgery planning are particularly advanced.
Researchers are developing 3D technologies for surgeons. The aids for surgery planning are particularly advanced.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Researchers have examined common methods used to locate defects inside components.
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
Scientists have developed an algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction.
A series of procedures have shown how surgeons can use computer-generated augmented reality imaging while operating on patients undergoing reconstructive lower limb surgery.
Engineers have developed a new type of wearable device that is 3D printed to custom fit the wearer.
In surgery, wearable technologies can assist, augment, and provide a means of patient assessment before, during and after surgical procedures.
Increasing numbers of hospitals and spine surgeons are adopting robotics and computer navigation, which aim to enhance precision, accuracy and predictability.
A research program explores the use of mixed reality for enabling surgeons to identify brain tumors quickly and precisely.
Researchers have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials.
Researchers developed a wearable X-ray detector prepared from nontoxic metal-organic frameworks layered between flexible plastic and gold electrodes for high-sensitivity sensing and imaging.
Scientists at have shown that diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
A groundbreaking new treatment that uses 3D printed implants and that could bring relief to tens of thousands of knee osteoarthritis sufferers has received approval to be trialled in UK patients.
Researchers have developed a way of manufacturing stereotactic systems from plastic using a 3D printer – a cost-effective method that opens up new design potential.
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.
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.
X-ray vision, context-sensitive guidance, coordinator, training assistant and more: augmented reality (AR) has hit the OR.
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
Medtronic partners with Surgical Theater to provide the first augmented reality platform for use in real-rime during complex cranial procedures.
To reduce tissue injury side effects from radiation therapy, researchers have developed 3D-printed gastrointestinal radioprotective devices that can be generated from patient CT scans.
EPFL spin-off Readily3D has developed a novel system that can print biological tissue in just 30 seconds.
Professor Dr Henning Windhagen is a great fan of semi-automatic systems in the OR that help with implants but leave the surgeon in the driver’s seat.
Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.
Researchers have uncovered a way to tap into the over-capacity of 5G networks, turning them into "a wireless power grid" for powering Internet of Things devices.
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.
The world’s first international online training session utilizing advanced 3D sinus models and a telemedicine system has taken place.
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.
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.
Researchers are using 3D printing to produce a new type of bioresorbable airway stent. This could greatly simplify the future treatment of upper airway obstruction.
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.
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.
Point-of-care electrochemical sensors using revolutionary nanocarbon technology can rapidly test for opioid concentrations in the bloodstream.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
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.
Two ALS patients, implanted with a brain-computer interface via the jugular vein and without the need for open brain surgery, successfully controlled their personal computer through direct thought.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
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.
Researchers have developed a groundbreaking process for multi-material 3D printing of lifelike models of the heart's aortic valve and the surrounding structures.
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.
Engineers are developing a 3D printed artificial blood vessel that allows doctors and patients to keep tabs on its health remotely.
Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
Dr. Frank Phillips, Professor and Director of the Division of Spine Surgery and the Section of Minimally Invasive Spine Surgery at Rush University Medical Center, completed the first augmented reality (AR) minimally invasive spine surgery.
A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Establishing whether a patient is suffering from COVID-19 within a few minutes is possible using ultrasound machines that are enhanced with artificial intelligence.
Researchers have developed a personalized therapeutic concept that significantly reduces the chances of a patient suffering post-operative complications.
An anaesthesia team used 3D printing and virtual reality to produce an exact model of the airway of a 7-year-old girl in order to prepare properly for an operation to remove part of her lung.
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.
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
The patient-specific stents developed at Cleveland Clinic are designed using CT scans and proprietary 3D visualization software.
Groundbreaking AR system allows surgeons to visualize anatomy in real time – as if they have “x-ray vision” – and accurately guide their instruments and implants.
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
A photonics tech company from Vilnius are on their path to solve the 50-year-old task of making non-invasive blood analysis possible.
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.
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.
Engineers have developed a magnetically steerable, thread-like robot that can actively glide through narrow, winding pathways, such as the labrynthine vasculature of the brain.
Spectroplast has developed a method to make silicone products such as hearing aids, breast prosthesis for breast cancer patients using a 3D printer.
Machine learning has the potential to vastly advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality.
3D printing: Researchers from across disciplines are developing new approaches and new materials for creating soft tissues.
Spine surgery: A new robotic technology increases the safety and precision of spinal fusion surgeries while reducing the time needed for the procedure.
With RAPID AI, the physicians now can get find parts of the brain that are not currently getting enough blood flow within minutes.
Researchers announce critical advances in the use of 3D-printed coronary phantoms with diagnostic software, further developing a non-invasive diagnostic method for Coronary Artery Disease risk assessment.
Patients could soon get faster and more accurate diagnoses with new software that can automatically detect signs of diabetes, heart disease and cancer from medical images.
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.
Scientists are using 3D technology to help rebuild the faces of cancer patients, those hurt in accidents and people born with complex facial deformities.
At ECR 2019, researchers talked about the practical applications of mixed realities in medical education and training as well as preprocedural planning and visualization during a surgery.
Researchers have created new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
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.
Researchers have created a novel 3D printing workflow that allows cardiologists to evaluate how different valve sizes will interact with each patient's unique anatomy, before the medical procedure is actually performed.
“HandsOn.surgery", the prototype of a virtual surgery trainer helps surgeons prepare for individual patient cases prior to surgery, and enables them to practice the surgery.
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.
Researchers have developed a new technique of external ventricular drain insertion that involves the use of a mixed-reality holographic computer headset.
Biomedical engineers have designed 3D-printed tracheal splints for pediatric patients. These were used to assist the breathing of an infant battling a life-threatening airway obstruction.
Engineers have developed a so-called smart stent that detects changes in blood flow through an artery.
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.
Less expensive and more realistic 3D models of blood vessels may offer alternative to the commercial standard.
Scientists have developed an open-source, clinically validated template for a 3D printed stethoscope for low-resource areas – places where a stethoscope could mean the difference between life and death.
VR brings medical images to life on screen, showing interventional radiologists a patient’s unique internal anatomy to help physicians effectively prepare and tailor their approach to complex treatments.