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Image: Examples of sound features; Copyright: KAIST

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.
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Image: premature baby in an incubator; Copyright: Sharon McCutcheon/Unsplash

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.
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Image: Application of AR sonography; Copyright: Fraunhofer IGD

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.
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Image: CT image of the human thorax; Copyright: PantherMedia/stockdevil_666

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.
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Image: Nurse checking surveillance monitor at the bedside and writing down patient data on a clipboard; Copyright: PantherMedia/Kzenon

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.
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Image: Schema of novel cancer tissue diagnosis in comparison with usual diagnosis; Copyright: Osaka University

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.
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Image: Close-up of the eyes of a young man; Copyright: PantherMedia/VadimVasenin

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.
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Image: symbol image for artificial intelligence; Copyright: MIPT Press Office

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.
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Image: comic illustration of a sleeping woman; Copyright: Aalto University/ Matti Ahlgren

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.
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Image: medical illustration of Clostridioides difficile bacteria; Copyright: CDC

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.
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Image: Tablet showing a medical record, next to a stethoscope, a computer and a notebook; Copyright: PantherMedia/pandpstock001

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.
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Image: Three ice hockey players fighting for the puck; Copyright: PantherMedia/fotokvadrat

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.
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Image: drawn picture of a brain; Copyright: Mindy Takamiya/Kyoto University iCeMS

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.
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Image: graphic depiction of an artifical head sleeping; Copyright: Los Alamos National Laboratory

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.
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Image: A young man with a bald head shows the scar of skull surgery; Copyright: PantherMedia/hplovecraft.mail.ru

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.
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Image: A young man walks along a hospital hallway using crutches and an exoskeleton; Copyright: PantherMedia/chudakov

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.
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Image: smartphone in ophthalmological use in India; Copyright: Universität Bonn/Sankara Eye Foundation

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).
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Image: graphical depiction of various pathways involvement; Copyright: Michigan Medicine

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.
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Image: system for integrating artificial neurons; Copyright: Institute of Industrial Science, The University of Tokyo

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.
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Image: Woman sleeping in a bed; Copyright: PantherMedia / Christoph Dieterle

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.
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Image: Surgeon sitting at a robot-assisted operating system; Copyright: panthermedia.net/wedmov

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.
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Image: robotic system for assistance in surgery; Copyright: panthermedia.net/phonlamai

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.
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Image: View of a robot-mounted system from above; Copyright: panthermedia.net/wedmov

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.
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Image: Robotic arm used for surgical operations; Copyright: panthermedia.net/markoaliaksandr

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.
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Image: Smiling man is standing in nature with one had at his ear; Copyright: panthermedia.net/cristalov

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.
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Image: young woman makes an ultrasound with the new system and shows patient the image on her smartphone; Copyright: Universitätsklinikum Bonn

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.
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Image: A device with a large monitor and different control panels in a darkened laboratory; Copyright: Fraunhofer IPA – PAMB

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.
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Image: Heart symbols are floating over a smartphone in the hand of a physician; Copyright: panthermedia.net/thodonal

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.
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Image: person holding hand to the heart with a graphic depiction of a heart in front of them; Copyright: panthermedia.net/suriyaphoto

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.
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