Background Reports 2020 -- MEDICA - World Forum for Medicine

Image: testing urine samples using ultra-high-sensitive smart biosensors; Copyright: Korea Institute of Science and Technology (KIST)

Cancer diagnosis using a urine test with artificial intelligence

22/01/2021

Successful precision cancer diagnosis through an AI analysis of multiple factors of prostate cancer. Potential application of the precise diagnoses of other cancers by utilizing a urine test.
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Image: A clock with an empty clock-face, three hands next to it; Copyright: PantherMedia/Rangizz

App for clock drawing test will help to detect dementia in future

11/01/2021

The clock drawing test has been used for several decades as a simple and effective means of diagnosing disruptions to spatial orientation and dementias. Scientists at the Pattern Recognition Lab at the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) fed AI neural networks with data from 2500 tests to teach them how to assess these results independently.
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Image: woman holding an asthma inhaler in one hand and a smartphone in the other; Copyright: PantherMedia/microgen

Asthma: Self-management thanks to apps and wearables

11/01/2021

Today, managing one's own chronic disease is hardly possible without digital helpers – not least because of the corona pandemic. People with asthma also benefit from apps and wearables. They help patients connect better with doctors and better understand their own disease. Our Topic of the Month looks at why this is so important and what the digital services can do.
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Image: an image with three parts, one parts shows a scan, the second a grey dot and the third is multicoloured; Copyright: SIAT

Deep learning helps predicting occult peritoneal metastasis in stomach cancer

08/01/2021

Stomach cancer, or gastric cancer, is a common gastrointestinal malignancy. Peritoneal metastasis occurs in a majority of patients with advanced stomach cancer and is considered as an aggressive disease with poor outcomes.
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Image: a human eye with an artificial lense which is scanning the eye; Copyright: PantherMedia / Elnur_

AI algorithms detect diabetic eye disease inconsistently

06/01/2021

Diabetes continues to be the leading cause of new cases of blindness among adults in the United States. A new study looks at the effectiveness of seven artificial intelligence-based screening algorithms to diagnose diabetic retinopathy, the most common diabetic eye disease leading to vision loss.
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Image: a whole body scan of a mouse, the organs are coloured; Copyright: Astrid Eckert / TUM

Quick look under the skin

06/01/2021

Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: They require just seconds to interpret whole-body scans of mice and to segment and depict the organs in colors, instead of in various shades of gray.
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Image: different medicine and pills of all shapes an sizes on a gray table; Copyright: PantherMedia / VadimVasenin

Using artificial intelligence to find new uses for existing medications

05/01/2021

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
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Image: three gray layers on black ground, rainbow-coloured lights shine through the layers; Copyright: Novai/UCL/Western Eye Hospital

AI-supported test predicts eye disease three years before symptoms

21/12/2020

A pioneering new eye test, developed by scientists at UCL in collaboration with the Western Eye Hospital, London, may predict wet AMD, a leading cause of severe sight loss, three years before symptoms develop. Researchers hope their test could be used to identify the disease early enough so that treatment can effectively prevent any vision loss.
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Image: wireless, ultra-thin and battery-free strain sensors; Copyright: National University of Singapore

Strain sensors that are 10 times more sensitive

18/12/2020

A research team from the National University of Singapore (NUS), led by Assistant Professor Chen Po-Yen, has taken the first step towards improving the safety and precision of industrial robotic arms by developing a new range of nanomaterial strain sensors that are 10 times more sensitive when measuring minute movements, compared to existing technology.
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Image: depiction of a brain; Copyright: Pixabay

AI detecting post-stroke depression can help to get right treatment

17/12/2020

An AI developed by Japanese researchers might soon help stroke survivors get the right treatment by detecting a patient’s post-stroke depression (PSD) type, a frequently seen but often overlooked neuropsychiatric manifestation after a stroke that could impair functional recovery.
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Image: timeline for earable computing; Copyright: Romit Roy Choudhury, The Grainger College of Engineering

Earable computing: A new research area in the making

17/12/2020

CSL's Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call "earable computing." The team believes that earphones will be the next significant milestone in wearable devices, and that new hardware, software, and apps will all run on this platform.
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Image: a doctor with gloves touching a symbol on a virtual surface; Copyright: PantherMedia / everythingposs

Study details first AI tool to help labs rule-out COVID-19

11/12/2020

Hospital-based laboratories and doctors at the front line of the COVID-19 pandemic might soon add artificial intelligence to their testing toolkit. A recent study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv's new AI-COVID™ software.
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Image: Sense Glucose Earring on a model; Copyright: The University of Huddersfield

Sense Glucose Earring for managing type 1 diabetes

10/12/2020

A product design graduate from the University of Huddersfield has defeated thousands of entries from around the world to become one of the finalists of the 2020 Global Grad Show with their design for a discrete earring that monitors blood sugar levels and delivers feedback in real-time.
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Image: eye of a person; Copyright: PantherMedia / Sergey Nivens

Optical sensor mimics human eye

09/12/2020

The sensor is a major breakthrough for fields such as image recognition, robotics and artificial intelligence. Findings by OSU College of Engineering researcher John Labram and graduate student Cinthya Trujillo Herrera were published today in Applied Physics Letters.
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Image: A rhesus macaque wearing a data glove; Copyright: Ricarda Lbik

Grasping an object - complete movement planning in the brain

07/12/2020

Neuroscientists at the German Primate Center (DPZ) - Leibniz Institute for Primate Research in Göttingen have succeeded for the first time in developing a model that can seamlessly represent the entire planning of movement from seeing an object to grasping it.
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Image: graphic for the initiative to accelerate global collaborative research on COVID-19; Copyright: Chris Adam/Purdue University

AI collaboration seeking to hasten COVID-19 insights

03/12/2020

During the COVID-19 pandemic, health care professionals and researchers have been confined mostly to using local and national datasets to study the impact of comorbidities, pre-existing medication use, demographics and various interventions on disease course.
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Image: fingers holding the stretchable electronic skin; Copyright: KAUST

Wearables: electronic skin has a strong future stretching ahead

30/11/2020

A material that mimics human skin in strength, stretchability and sensitivity could be used to collect biological data in real time. Electronic skin, or e-skin, may play an important role in next-generation prosthetics, personalized medicine, soft robotics and artificial intelligence.
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Image: Preview picture of video

Robotic arms in the operating room – When the surgeon can work in a sitting position

23/11/2020

Surgeons do not only need much concentration, but also strength and endurance. Robotic arms under their control can do part of this work. Prof. (Saitama Med. Univ.) Dietmar Stephan from the St. Marien Hospital Siegen describes in our video, how controls and haptic feedback can make surgery with a robot easier.
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Image: eye image; Copyright: Radiological Society of North America

Early Parkinson's disease diagnosis with eye exam

23/11/2020

A simple eye exam combined with powerful artificial intelligence (AI) machine learning technology could provide early detection of Parkinson's disease, according to research being presented at the annual meeting of the Radiological Society of North America (RSNA).
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Image: scanning a melanoma with a smartphone; Copyright: PantherMedia / Andriy Popov

AI program can pick best candidates for skin cancer treatment

20/11/2020

Experts trained a computer to tell which skin cancer patients may benefit from drugs that keep tumors from shutting down the immune system's attack on them, a new study finds.
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Image: three different sights of a womans head; Copyright: PantherMedia / bibacomua

Computer vision predicts congenital adrenal hyperplasia

19/11/2020

Researchers at the VISTA Center at the USC Viterbi Information Sciences Institute along with scholars at the Keck School of Medicine of USC and Children's Hospital Los Angeles have discovered strong correlations between facial morphology and congenital adrenal hyperplasia, a life-threatening genetic condition of the adrenal glands and a common form of adrenal insufficiency in children.
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Image: artificial turquoise animated brain on a platinum; Copyright: PantherMedia / luca de polo

AI may predict response to immune checkpoint blockade in patients

18/11/2020

A computational method that combines clinicodemographic variables with deep learning of pre-treatment histology images could predict response to immune checkpoint blockade among patients with advanced melanoma.
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Image: Doctors shakes Roboters hand; Copyright: PantherMedia / Andriy Popov

Using artificial intelligence can improve pregnant women's health

05/11/2020

Researchers from the University of Seville have carried out a rigorous and detailed analysis of how artificial intelligence has been used with pregnant women over the last twelve years. The analysis confirmed that disorders such as congenital heart birth defects or macrosomia, gestational diabetes and preterm birth can be detected earlier when artificial intelligence is used.
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Image: empty operating room with disinfection robot; Copyright: stock.adobe.com/allensima

Disinfection: a robot nips viruses in the bud

02/11/2020

Hospitals are considered to be a primary route of disease transmission. That is why patient rooms, operating rooms, and waiting areas should be disinfected regularly and thoroughly - and not just during the coronavirus pandemic. At the virtual.MEDICA trade fair, ICA Traffic GmbH will showcase the HERO21 robot, a disinfection unit that uses UVC radiation.
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Image: microfluidic platform; Copyright: Department of Chemistry, University of Basel

An artificial cell on a chip

29/10/2020

Researchers at the University of Basel have developed a precisely controllable system for mimicking biochemical reaction cascades in cells. This "cell on a chip" is useful not only for studying processes in cells, but also for the development of new synthetic pathways for chemical applications or for biological active substances in medicine.
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Image: The hand of a hospital employee at a device next to an intensive care bed with a patient in it; Copyright: PantherMedia/sudok1

AI predicts a patient's risk of postoperative complications

22/10/2020

Whether it is a routine surgery or a personalized surgical intervention that perhaps has never been done before: There is always a residual risk involved. That’s why hospitals monitor and supervise patient care before, during, and after surgery to be ready for immediate intervention if needed.
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Image: Symbols from everyday hospital life as digital images coming from a stethoscope; Copyright: PantherMedia/everythingposs

Smart Hospital: Digitally Connected Healthcare

01/10/2020

Every year, new technologies hit the market. They expand, update, and connect hospitals and healthcare facilities. But advancing digitization not only accelerates the speed of improvements, it also uncovers problem areas that must still be fixed.
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Image: Patient lying in a hospital bed with a monitor attached; Copyright: BEWATEC

ConnectedCare: hospital roadmap to becoming a Smart Hospital

01/10/2020

Scheduling, bed management, and menu ordering – today’s hospitals take advantage of a variety of digital services. In the worst-case scenario, each service requires a different interface to the central information system, marking a major barrier that holds back digitization. With ConnectedCare, BEWATEC shows there is a better way.
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Image: Connected areas of a treatment displayed as icons; Copyright: PantherMedia/Sonar

The digital hospital: integration and digitization

01/10/2020

Whether it's process automation, robotics in the OR and nursing areas, or the digitalization of patient records - in a smart hospital, everything comes together to form a connected hospital. Find out exactly how the Smart Hospital is being developed with the help of information platforms and projects in the Topic of the Month.
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Image: View into an automated laboratory machine that stores a lot of vials; Copyright: PantherMedia/kagemusha

The smart networking laboratory: when connected devices become one system

01/09/2020

Diagnostics, biomedical research, screening active ingredient candidates - laboratories perform many functions and must be flexible. Growing and evolving healthcare demands mean labs have to process an increasing number of samples. Modern laboratory information management systems can already support high-throughput, but a smart laboratory environment can make things even more efficient.
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Image: A miniaturized, round sensor under a fingertip; Copyright: TU Dresden

SmartLab: all-in-one automation, digitalization, and miniaturization

01/09/2020

Laboratories have to analyze and interpret an ever-increasing number of samples for research and diagnostic services, generating lots of data in the process. At the same time, labs are required to produce quality results and operate with speed. Processes that could once be managed using laboratory notebooks and isolated systems must become smart in the future to improve lab efficiency.
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Image: View into a device that automatically processes laboratory samples; Copyright: PantherMedia/Sonar

The laboratory 4.0: networked analyses

01/09/2020

There is likely no other branch of medicine where you can find as many high-tech devices as in modern laboratories. A major part of diagnostic and biomedical research is done here. A lot of individual steps in work processes need to be followed precisely to ensure the results’ quality. Also, a lot of data is generated here.
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Image: medical symbols around the earth in the hands of a person; Copyright: PantherMedia/everythingposs

Israeli medical devices showcase digital innovations at MEDICA

24/08/2020

For the annual MEDICA trade fair, companies from all over the world assemble in Düsseldorf. The Israel Export Institute has been a part of it for the last couple of years. They present medical devices and digital innovations from different Israeli companies at their joint booth.
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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: 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: 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: 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: 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: 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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