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Detecting the location of coughing sounds with deep learning
14/08/2020
The Center for Noise and Vibration Control at KAIST announced that their coughing detection camera recognizes where coughing happens, visualizing the locations. The resulting cough recognition camera can track and record information about the person who coughed, their location, and the number of coughs on a real-time basis.
Machine learning tool predicts intestinal disease in premature infants
11/08/2020
Researchers from Columbia Engineering and the University of Pittsburgh have developed a sensitive and specific early warning system for predicting NEC in premature infants before the disease occurs. The prototype predicts NEC accurately and early, using stool microbiome features combined with clinical and demographic information.
Augmented reality ultrasound: putting the focus on patients
10/08/2020
This is how a conventional ultrasound scan works: patients lie down on a table next to the ultrasound machine. A doctor uses a probe to scan the part of the body in question, while he or she looks at the pictures on a monitor. In other words, the physician either focuses on his/her hand on the patient or the monitor. The Fraunhofer IGD wants to change this process as part of the "sonAR" project.
Training algorithms to identify COVID-19 in CT scans
07/08/2020
As COVID-19 cases in the United States continue to surge, there is an ongoing search for quick and reliable testing. Though there are conflicting opinions on using chest computerized tomography (CT) scans as a method of screening in the United States, the technology has been successfully used to identify the disease in other parts of the world.
Big Data: early warning system for the ICU
03/08/2020
Patient monitoring systems in the ICU sound up to 700 alarms on average per patient per day, which boils down to one alarm every two minutes. An excessive number of them are false alarms. This generates vast amounts of data, which can make it difficult for doctors and nurses to identify the most critical alarms to manage. It also has a negative effect on the treatment of intensive care patients.
Tissue imaging system accelerates cancer diagnosis
27/07/2020
Cancer diagnosis requires a lengthy process of multiple analyses of tissue biopsies, impeding the quick and early detection of cancers. In a new study, researchers from Osaka University developed a novel imaging system that uses near-infrared light to be less invasive and more time efficient than the conventional approach.
Electrical stimulation to restore vision
16/07/2020
In a project under Horizon 2020, researchers from seven European organizations will examine how the vision of visually impaired people can be restored using electrical stimulation of the brain. The project is being coordinated by the University of Zurich and supported by the European Union.
Machine learning helps grow artificial organs
08/07/2020
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish. Unlike humans, the algorithm achieves this without the need to modify cells, making the method suitable for growing retinal tissue for developing cell replacement therapies to treat blindness and conducting research into new drugs.
App to recognize sleep apnea
07/07/2020
Sleep apnea is a very common sleep disorder characterized by breathing pauses and periodic snoring. According to some studies, as much as ten percent of the population suffer from it, but up to nine out of ten cases remain undiagnosed because symptoms are sometimes mild and there are a lack of resources in diagnostics.
Software to find drug-resistant bacteria
07/07/2020
Washington State University researchers have developed an easy-to-use software program to identify drug-resistant genes in bacteria. The program could make it easier to identify the deadly antimicrobial resistant bacteria that exist in the environment. Such microbes annually cause more than 2.8 million difficult-to-treat pneumonia, bloodstream and other infections and 35,000 deaths in the U.S.
EHR: information recorded over time tells more about diseases
24/06/2020
Electronic health records (EHRs) contain important information about patients' health outlook and the care they receive, but the records are not always precise. A new study describes an approach that uses machine learning, a type of artificial intelligence, to carefully track patients' medical records over time in EHRs to predict their likelihood of having or developing different diseases.
MEDICA MEDICINE + SPORTS CONFERENCE: how data and AI help sports
16/06/2020
Karl Schwarzenbrunner is the head of the Education and Science Department at the German Ice Hockey Association, and also a speaker at the 8th MEDICA MEDICINE + SPORTS CONFERENCE 2020, which will take place this year on 18 and 19 November in Düsseldorf.
AI enhances brain tumour diagnosis
12/06/2020
A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98 percent accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University's Institute for Integrated Cell-Material Sciences, developed the method to help clinicians choose the most effective treatment strategy for individual patients.
AI: artificial brains may need sleep too
08/06/2020
No one can say whether androids will dream of electric sheep, but they will almost certainly need periods of rest that offer benefits similar to those that sleep provides to living brains, according to new research from Los Alamos National Laboratory.
Mapping immune cells in brain tumors with AI
04/06/2020
It is not always possible to completely remove malignant brain tumors by surgery so that further treatment is necessary. Researchers from the University of Zurich and the University Hospital Zurich have now been able to describe the composition of the immune cells of various types of brain tumors. This will provide an important foundation for future immunotherapy approaches.
Computer vision and uncertainty for robotic prosthetics
04/06/2020
Researchers have developed new software that can be integrated with existing hardware to enable people using robotic prosthetics or exoskeletons to walk in a safer, more natural manner on different types of terrain.
mHealth: inexpensive retinal diagnostics via smartphone
26/05/2020
Retinal damage due to diabetes is now considered the most common cause of blindness in working-age adults. In low- and middle-income countries, an eye examination via smartphone could help to detect changes at an early stage. This is shown by a new study carried out by scientists from the University of Bonn together with colleagues from Sankara Eye Hospital Bangalore (India).
Analytic tool designed to help guide precision oncology
21/05/2020
Recent large-scale efforts to categorize the molecular data of multiple cancer types has yielded so much information that researchers now have a new question: How to turn all this data into meaningful information that guides cancer research and patient care.
Prosthesis: Artificial pieces of brain communicate with real neurons
20/05/2020
A prosthesis is an artificial device that replaces an injured or missing part of the body. You can easily imagine a stereotypical pirate with a wooden leg or Luke Skywalker's famous robotic hand. Less dramatically, think of old-school prosthetics like glasses and contact lenses that replace the natural lenses in our eyes. Now try to imagine a prosthesis that replaces part of a damaged brain.
AI: unlocking rhythms of 'deep sleep'
19/05/2020
Flinders University sleep researchers have used machine learning and artificial intelligence to develop a free online tool being used by sleep experts and researchers around the world to work out the role of the so-called K-complex, a prominent, brief up-down-up pattern of brain electro-encephalogram (EEG) electrical activity lasting around half a second during sleep.
Robotic-Assisted Surgery with the daVinci-System
04/05/2020
Robotic surgical systems are often used to perform minimally invasive procedures. The daVinci surgical system is still one of the market leaders and is especially well suited to perform prostatectomies, a surgical option for prostate cancer.
Robotics in the OR: Relieving the surgeon
04/05/2020
In the operating room, minimally invasive procedures are increasingly used. Robot-assisted systems are a great help for the surgeon. They support the surgeon and are extremely precise. Through innovative research approaches, robotic systems are constantly evolving.
Robots in the Operating Room: Improving Training and Safety
04/05/2020
Surgical robots are transforming the operating room. They deliver many benefits but also present new challenges. That is why the efficient handling of robotic mechanisms must also be reflected in the respective training courses.
Innovative Robotic-Assisted Surgical Systems
04/05/2020
More compact, more flexibility, and more precision - these are the main characteristics developers strive for as they advance robotic-assisted surgical systems for the operating room. Several technology providers have already shown how it’s done, including the makers of the popular daVinci Surgical System. Yet for robotic-assisted systems, the sky is the limit.
In-ear sensors for monitoring vital parameters
22/04/2020
Wearables offer practical solutions for the flexible measurement of data. The sensor from cosinuss° is worn directly in the ear and offers a precise monitoring of vital parameters.
Ultrasound to go: versatile partner on hospital rounds
08/04/2020
The University Hospital Bonn has recently introduced an ultrasound device that's small enough to fit in your coat pocket. It's ready to use once you have connected it to a tablet or smartphone. The portable system makes bedside physical exams possible. The device primarily benefits students as it allows them to combine basic knowledge and clinical application.
Cardiovascular diseases: using AI to navigate the catheter
09/03/2020
Treatment of a heart attack or stroke caused by vascular occlusion must be prompt to prevent further damage to vital tissue. Unfortunately, the actual treatment is often preceded by a lengthy catheter-based procedure where the cardiologist manually guides the catheter to the affected vessel. AI might perform this task in the future.
Digital cardiology: analyzing data beat by beat
03/02/2020
Chronic cardiovascular diseases are a growing burden worldwide. Most of them are diseases of civilization that spread, where lifestyle is improving or where it is good already. But the healthcare systems are not growing equally to keep up with this development. We can make up for this by making cardiological care smarter with eHealth and mHealth.
Cardisiography: A Non-Invasive Heart Screening Test
03/02/2020
Coronary heart disease can come as a complete surprise and occur suddenly. Cardisiography was designed to lower the risk and make faster intervention possible. As a non-invasive heart screening test, cardisiography offers the possibility of early detection for heart diseases.