Current interviews -- MEDICA - World Forum for Medicine

Image: tablet diagnosis with AI in a social care setting; Copyright: PainChek

Pain assessment tool for social care setting

04/05/2021

Social care professionals working in residential care and nursing homes can now use an AI-powered pain assessment tool to assess and score pain in residents whether they are able or unable to self-report their pain.
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Image: Robot disinfecting doorknobs; Copyright: Fraunhofer Italia

Disinfection robot: Value created by linking up to building data

04/05/2021

The disinfection robot BALTO is capable of disinfecting doorknobs and similar objects. It does this autonomously, reacting to human beings in the surrounding area at the same time. An interface with the Building Information Modeling (BIM) process makes this possible.
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Image: a person holding a smartphone with both hands, a healthcare app is opened; Copyright: PantherMedia/Andriy Popov

Digital healthcare: Treating patients at home

03/05/2021

Digital health apps (DiGA) are increasingly becoming part of patients' everyday lives. Since the "apps on prescription" are thoroughly tested by the BfArM before approval, they are currently only tailored to individual diseases. In this Topic of the Month, we take a look at the place DiGAs already occupy in healthcare today and how they will continue to develop in the future.
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Image: A grey-and-whtie CT image of the heart where a vessel is highlighted; Copyright: Laboratory of U. Joseph Schoepf

Cardiology: AI makes no-cath forecast

26/04/2021

Researchers at MUSC use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
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Image: Two hospital employees fill a shelf in a storage room with medical supplies; Copyright: PantherMedia/SimpleFoto

Hospital logistics: three action steps to future success

22/04/2021

Behind every hospital are sophisticated and complex logistics that must run like clockwork to keep things going. But how good are the processes when it comes to managing patient care and hospital staff? There are many weak links that can be avoided. Comprehensive digitization and efficient, targeted healthcare workforce management are required to set up hospital logistics for future success.
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Image: a brain MRI; Copyright: Radiological Society of North America

AI-based system could help triage brain MRIs

21/04/2021

An artificial intelligence-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a study published in Radiology: Artificial Intelligence.
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Image: early-stage cancer detection blood test with diagnostic equipment; Copyright: CanSense

AI blood test detects early signs of bowel cancer

15/04/2021

A new blood test developed in Wales harnesses the power of artificial intelligence to detect the early signs of bowel cancer – a disease that affects over 260,000 people in the UK today. CanSense, a Swansea University-spin out, has spent seven years developing a cancer test that can be performed at local GPs to avoid lives lost through delayed detection.
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Image: data epiction of cancer; Copyright: Ella Maru Studio/MPI f. Mol. Genet.

New cancer genes identified with the help of machine learning

13/04/2021

In cancer, cells get out of control. They proliferate and push their way into tissues, destroying organs and thereby impairing essential vital functions. This unrestricted growth is usually induced by an accumulation of DNA changes in cancer genes – i.e. mutations in these genes that govern the development of the cell.
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Image: Physician looking at the print-out of an ECG curve next to a patient; Copyright: PantherMedia/voenkor

FDA: Breakthrough Device Designation to ECG analysis platform

07/04/2021

Tempus, a leader in artificial intelligence and precision medicine, announces that the U.S. Food & Drug Administration (FDA) has granted the company Breakthrough Device Designation for its ECG Analysis Platform.
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Image: Neurons; Copyright: PantherMedia / Ralwel

Multiple Sclerosis: Machine learning helps spot gait problems

30/03/2021

Monitoring the progression of multiple sclerosis-related gait issues can be challenging in adults over 50 years old, requiring a clinician to differentiate between problems related to MS and other age-related issues. To address this problem, researchers are integrating gait data and machine learning to advance the tools used to monitor and predict disease progression.
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Image: an asbestos warning sign; Copyright: PantherMedia / carrollmt

AI used in battle against asbestos-linked cancer

29/03/2021

International genomics research led by the University of Leicester has used artificial intelligence (AI) to study an aggressive form of cancer, which could improve patient outcomes.
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Image: microaneurysm-on-a-chip; Copyright: NTU Singapore

AI platform to assess blood vessel anomalies and eye disease

23/03/2021

An international team of scientists from Nanyang Technological University, Singapore (NTU Singapore), Brown University and the Massachusetts Institute of Technology (MIT) has developed an artificial intelligence (AI) platform that could one day be used in a system to assess vascular diseases, which are characterised by the abnormal condition of blood vessels.
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Image: A woman sitting in front of a device for an eye examination; Copyright: PantherMedia/Med_Photo_Studio

Alzheimer's disease: early detection using an eye exam

22/03/2021

Alzheimer's disease is still incurable, but if detected early enough, countermeasures can improve treatment and slow the progression. Unfortunately, there is still no reliable early detection test at this juncture. This might soon change thanks to a non-invasive spectroscopy of the retina.
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Image: A female physician sitting in front of a computer; Copyright: PantherMedia/Wavebreakmedia ltd

Automatic adverse drug reaction extraction from EHR

19/03/2021

The IXA group at the University of the Basque Country (UPV/EHU) is using natural language processing to extract adverse effects from health records written in Spanish.
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Image: Microscopic image colored in orange and black; Copyright: Salk Institute/Waitt Advanced Biophotonics Core

New method could democratize deep learning-enhanced microscopy

18/03/2021

Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it is often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible - by taking high-resolution images, and artificially degrading them.
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Image: A person sitting in front of a white speaker box; Copyright: Mark Stone/University of Washington

AI system for contactless monitoring of heart rhythm

17/03/2021

Smart speakers, such as Amazon Echo and Google Home, have proven adept at monitoring certain health care issues at home. For example, researchers at the University of Washington have shown that these devices can detect cardiac arrests or monitor babies breathing.
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Image: Preview picture of video

Digital twin heart – Computer model for an optimized therapy success

15/03/2021

Heart surgery is difficult even for experienced surgeons and therapeutical success is not always certain. Physicians need to rely on their experience when choosing and planning the correct intervention. A computer model could help them in the future: The digital twin heart could be fed with patient data and then simulate whether an intervention will be successful.
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Image: a medical unltrasonic of a womans upper body; Copyright: PantherMedia / Arne Trautmann

AI-based diagnostic system for breast cancer

09/03/2021

Researchers at TU Berlin and Charité – Universitätsmedizin Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI).
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Image: Rescue team in action; Copyright: PantherMedia/HayDmitriy

Mobile and intelligent – emergency blood analysis

08/03/2021

Things need to move fast in an emergency. Making the right call in this setting can be a challenge for emergency medical services – especially when symptoms are ambiguous, which is the case if a patient has difficulty breathing or exhibits a cardiovascular or poisoning emergency. A blood analysis is paramount to deliver a fast and accurate diagnosis. This is where mobOx comes in.
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Image: a device for measuring Atrial fibrillation; Copyright: PantherMedia / wanton

AI can predict new atrial fibrillation

08/03/2021

A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke. Atrial fibrillation is the most common cardiac arrhythmia and is associated with numerous health risks, including stroke and death.
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Image: robotic hand touches a butterfly; Copyright: PantherMedia / Iurii

Soft tactile sensor with skin-comparable characteristics for robots

03/03/2021

A joint research team co-led by City University of Hong Kong (CityU) has developed a new soft tactile sensor with skin-comparable characteristics. A robotic gripper with the sensor mounted at the fingertip could accomplish challenging tasks such as stably grasping fragile objects and threading a needle.
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Image: PDMS monitor in the paediatric intensive care unit; Copyright: Karin Kaiser / MHH

Digital alarm system for paediatric intensive care medicine

02/03/2021

Working in intensive care units poses special challenges for healthcare workers. They have to safely and reliably detect whether the condition of their seriously ill patients is deteriorating in a life-threatening way, and they have to do so under great time pressure because every minute counts. The stress level increases even more when the patients are children and adolescents.
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Image: robotic arm during treatment; Copyright: Simon Fraser University

Sensing robot healthcare helpers being developed at SFU

01/03/2021

The current pandemic highlights how remote healthcare robots currently being developed at SFU could be beneficial in the future.
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Image: disinfection of a door handle around which coronaviruses are flying; Copyright: PantherMedia/AntonMatyukha

Necessity is the mother of invention – innovations in the corona pandemic

01/03/2021

Keeping your distance, washing your hands, wearing a mask – such protective measures have been the order of the day since the SARS-CoV-2 pandemic began. But appropriate products or procedures are not suitable for everyone, are often unavailable or, despite everything, carry a residual risk. The need for new, better solutions is high. But necessity is the mother of invention.
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Image: Back of person with moles that are marked in different colors; Copyright: Luis R. Soenksen

Neural network could help clinicians look for pre-cancerous skin lesions

26/02/2021

A neural network system that analyzes photographs can rank and distinguish suspicious, potentially precancerous skin lesions, which can turn into the deadly skin malignancy melanoma if not caught and removed early.
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Image: A wrist with three smartwatches; Copyright: Landshut University of Applied Sciences

Wearables: an intelligent health care product for on the go

23/02/2021

A project at Landshut University of Applied Sciences is aiming to improve wearables for medical applications and to enable the portable minicomputers to make more accurate measurements.
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Image: A physician with a tablet computer in one hand is standing next to a patient’s bed; Copyright: PantherMedia/Wavebreakmedia LtD

Hospital: how an AI tool could improve patient safety

22/02/2021

Sometimes, a hospital stay can proceed successfully without a hitch. At other times, there might be an unexpected turn of events if the patient exhibits complications. Early identification of these patients could prevent unnecessary suffering. A new research project intends to develop an AI-based tool that predicts a patient’s risk of complications at an early stage.
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Image: Dr. Žiga Avsec at his home office workplace; Copyright: Avsec / TUM

AI deciphers genetic instructions

19/02/2021

With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their neural network trained on high-resolution maps of protein-DNA interactions uncovers subtle DNA sequence patterns throughout the genome, thus providing a deeper understanding of how these sequences are organized to regulate genes.
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Image: AI tool for surgery; Copyright: Purdue University/Mohammad Rahman

AI tool for better preparation for surgery

17/02/2021

A new tool using an artificial intelligence platform may help doctors better prepare patients for surgery.
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Image: a woman wearing a wearable EEG that looks like a headband; Copyright: Evercot AI GmbH

Good connection: AI and EEG work hand in hand

17/02/2021

Artificial intelligences (AI) are able to help medical professionals detect diseases. This is based on medical data records from which the AI can draw conclusions about diseases. These conclusions are most accurate when the extraction of the data sets is directly linked to the processing.
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Image: Physician performing an echocardiogram; Copyright: PantherMedia/Anamaria Mejia

AI can predict death risk from ultrasound images

12/02/2021

Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year.
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Image: young woman sitting on the couch with a smartphone; Copyright: PantherMedia/Y-Boychenko

Gender medicine – analog and digital

10/02/2021

There are key differences between men and women, yet medicine has been treating both sexes the same for decades. As a result, women may not always receive the most optimal care. While there is now a shift in mindset, previous findings and outdated thinking patterns are far too often still finding their way into digital health services and technologies.
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Image: Two paramedics push a woman on a stretcher into an ambulance; Copyright: PantherMedia/michaeljung

Data tool may improve care

09/02/2021

With the aid of sophisticated machine learning, researchers at UPMC and the University of Pittsburgh School of Medicine demonstrated that a tool they developed can rapidly predict mortality for patients facing transfer between hospitals in order to access higher-acuity care.
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Image: A physician is looking at a tablet computer while two nurses care for an intensive care patient in the background; Copyright: PantherMedia/SimpleFoto

BabSim.Hospital: forecasting hospital bed needs

04/02/2021

Amid the coronavirus pandemic, capacity of intensive care units is a hot-button issue as this determines the number of severe COVID-19 cases hospitals can treat. The percentage of currently infected patients can deliver insights into the projected need for ICU beds down the road. The TH Köln developed a tool to help with this planning process.
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Image: Artist’s rendering of small robots with grapplers and searchlights that swim between red blood cells; Copyright: PantherMedia/Andreus

Autonomous medical technology: independently in the body

01/02/2021

Therapies need to be carried out with high reliability by trained personal. This will not change in the future. But maybe we will be able to let systems in the patient’s body do some of the work. Some approaches are already aiming to make implants more independent so they will be able to flexibly react to changes. Read more in our Topic of the Month!
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Image: Artist’s rendering of small star-shaped machines between red blood cells; Copyright: PantherMedia/Michael Osterrieder

Autonomous medical devices: running well in your body

01/02/2021

In theory, autonomous medical technologies can be used in a diagnostic or therapeutic capacity inside the body under certain conditions. This may not sound like a new invention at first. After all, implantable cardioverter-defibrillators have monitored and fixed abnormal heart rhythm for many years.
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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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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: 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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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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