Researchers are developing 3D technologies for surgeons. The aids for surgery planning are particularly advanced.
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Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
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.
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.
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.
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.
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 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.
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.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
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.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Engineers are developing a 3D printed artificial blood vessel that allows doctors and patients to keep tabs on its health remotely.
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.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
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.
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.
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.
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.
Machine learning has the potential to vastly advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality.
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.
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.
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.
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.
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.
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.