Health IT

From AI-based image analysis to virtual therapies: Find out how digitalisation and cutting-edge IT solutions advance the medical landscape.

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Will machines take over?

AI? We shouldn’t worry about it – yet

Humanity is not doomed to submit to machines as in the Terminator movies – or at least not yet. Artificial intelligence (AI) systems are still far from capable to imitate the human brain in all its…

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Avoiding incidents

The digital early warning system

Staff shortages are among the most urgent healthcare problems. While digitisation might offer relief, unfortunately many hospitals lag behind in transforming their processes. As pressure mounts, the…

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Computational medicine

Using virtual populations to create safer medical devices

The current innovation process for medical technologies risks stifling the development of new devices, a leading researcher has argued. Alejandro Frangi, Professor of Computational Medicine at the…

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MCG motion capture

The world’s first precision motion analysis and digital care company

A team of seasoned European healthcare entrepreneurs announced the foundation of MCG motion capture GmbH (MCG), the world’s first precision motion analysis and digital care company. The team…

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Preview Medical Taiwan 2019

Healthcare exhibition showcases technology from Taiwan

Artificial intelligence clinics and rehab bikes, exoskeletons and stylish protections masks – healthcare in Taiwan has many faces and facets as the international medical & healthcare exhibition…

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Twisted by design

Stretchable electronics to move wearables forward

Stretchable electronics is emerging as a promising new technology for next-generation wearable devices, according to a review published in Science and Technology of Advanced Materials. The technology…

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Health Innovation Night

Digitization: New therapy approaches for the patient 'hospital'

Digitalization offers great potential for hospitals: diseases can be detected earlier, internal processes more efficiently organized, health expenditure reduced and patients better cared for.…

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Encyclopaedia

'Fingerprint database' helps to identify new cancer culprits

Scientists from King's and Cambridge have developed a catalogue of DNA mutation ‘fingerprints’ that could help doctors pinpoint the environmental culprit responsible for a patient’s tumour –…

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Cyberattack

Hackers can manipulate cancer scans

​Hackers can access a patient's 3-D medical scans to add or remove images of malignant tumors, thus placing patients at risk of misdiagnoses. The new study, published by Ben-Gurion University of…

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Twisted by design

Stretchable electronics to move wearables forward

Stretchable electronics is emerging as a promising new technology for next-generation wearable devices, according to a review published in Science and Technology of Advanced Materials. The technology…

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Vive le algorithme

French government gets ready for AI in healthcare

The concept of artificial intelligence (AI) has been touted as an important aid for healthcare for at least adecade. However, despite years of research and major technical and scientific advances we…

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mhealth

Faster detection of atrial fibrillation thanks to smartwatch

Atrial fibrillation can be correctly detected using commercially available smartwatches. This is the conclusion of a study by researchers of the German Centre for Cardiovascular Research (DZHK) at…

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Machine learning

How intelligent is Artificial Intelligence?

Scientists put AI systems to the test und provide a glimpse into the diverse “intelligence” spectrum observed in current AI models.

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Diabetes

Remote blood pressure monitoring via app shows promise

People with both diabetes and uncontrolled high blood pressure who used a smartphone app to monitor their blood pressure remotely, get tips on healthful living and connect with a health coach saw…

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Image analysis in radiology and pathology

"The time has come" for AI

AI has made an extraordinary qualitative jump, particularly in machine learning. This can help quantify imaging data to tremendously advance both pathology and radiology. At a recent meeting in…

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A look into the crystal ball

Experts debate predictive potential of AI

‘Hello, John? You are about to suffer a heart attack – please come to the hospital immediately!’ Will we, one day, be collected by emergency doctors even before we’re ill? If it was up to…

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Drones or data cables?

Are humans too slow for digitalisation?

Today the impressive development of drones by some people is happily regarded as the pinnacle of digitalisation in healthcare. Some groups are testing whether drones can quickly and safely deliver…

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Postoperative pain

Hypnosis through virtual reality aids in medical recovery

Anesthesiologists at UT Southwestern Medical Center are helping to explore the use of hypnosis through virtual reality to lessen postoperative pain and anxiety in children.

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Machine learning tool

AI can predict survival of ovarian cancer patients

Researchers have created a new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer. The artificial intelligence software, created by researchers at Imperial College London and the University of Melbourne, has been able to predict the prognosis of patients with ovarian cancer more accurately than current methods. It can also…

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Foodborne illnesses

Machine learning gets to the source of Salmonella

A team of scientists led by researchers at the University of Georgia Center for Food Safety in Griffin has developed a machine-learning approach that could lead to quicker identification of the animal source of certain Salmonella outbreaks. In the research, published in Emerging Infectious Diseases, Xiangyu Deng and his colleagues used more than a thousand genomes to predict the animal sources,…

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Every step you take

Activity tracker predicts hospital stays after surgery

A new Cedars-Sinai study shows that using Fitbit activity monitors to measure steps taken in the days after surgery can predict which patients leave the hospital sooner. The study of 100 patients, led by Timothy Daskivich, MD, director of Health Services Research for the Cedars-Sinai Department of Surgery, showed that each step taken towards 1,000 steps the day after surgery resulted in…

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Time for a revolution?

About the end of medicine, as we know it

Currently many researchers and experts assume that the next great socio-economic revolution will include a completely new definition of health and how we define illnesses and therapies. “Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective,” Professor Harald Schmidt, head of the Department of Pharmacology and Personalised…

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Chatbots & AI

Increasing conversational intelligence with machine learning

Nuance Communications, Inc., at its Customer Experience Summit, revealed Project Pathfinder, a breakthrough technology that uses machine learning and Nuance AI innovation to increase the conversational intelligence of virtual assistants (VAs) and chatbots. Project Pathfinder reads existing chat logs and transcripts of conversations between agents and customers within contact centers, and…

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AI, IT, data management

Digital attack on cancer

Several research groups at Berlin Institute of Health (BIH) are working on digitally combating cancer. The main goal is to combine and jointly evaluate existing information. With 500,000 new cancer cases every year in Germany alone, it is worthwhile comparing experiences with different diagnostic and treatment methods, thus allowing more patients to benefit from the most promising approaches. In…

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ICU alarm algorithms

Machine learning eliminates false alarms in intensive care

In intensive care units (ICU), some monitoring device or other is always sounding the alarm. Whether it’s a patient whose blood oxygen level is too low, someone in the next bed whose intracranial pressure is rising, or someone else whose blood pressure has taken a nosedive. Or perhaps just because a patient has shifted position in bed. False alarms like this last are all too common. They…

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Enterprise imaging solution

Carestream reveals updates for Clinical Collaboration Platform at HIMSS 2019

Carestream Health will showcase its latest version of Vue Clinical Collaboration Platform at the HIMSS 2019 tradeshow (Booth #2741) being held February 11-15 in Orlando, Fla. The latest release of its Clinical Collaboration Platform includes a zero-footprint offering with additional modules, as well as report analytics using natural language processing (NLP) to enable data-mining of diagnostic…

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Breast and skeletal health

AI is proving pivotal in women’s health solutions

Artificial Intelligence (AI) is proving pivotal as Hologic evolves its women’s health solutions. With a focus on breast and skeletal health, future steps will see the medical technology company incorporate a more integrated approach to drive better, more cost effective, outcomes that are clinically supported to deliver an improved patient experience. Pete Valenti, Hologic’s division president…

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On the go

Wearable ultrasound patch penetrates the skin to measure blood pressure

Researchers funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) are literally breaking barriers using ultrasound waves emitted from a flexible patch to accurately measure central blood pressure and help detect cardiovascular problems earlier. For a while now, smart, wearable devices have had the ability to capture how many steps we take in a day or measure our heart…

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Between man and molecule

The hunt for genetic risk factors

Professor Christoph M Friedrich researches the interface between man and molecule. Born in Westphalia, Germany, the professor for biomedical computer science at Dortmund University of Applied Sciences recently took up an additional role at the Institute for Medical Informatics, Biometrics and Epidemiology (IMIBE) in Essen University Hospital. In 2013, the cooperation between the two institutions…

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AI ethics and responsibilities

A journey into human/machine interactions in healthcare

With Artificial Intelligence (AI) able to deliver diagnostic advances for clinicians and patients, the focus has shifted towards ensuring the technology is used in an ethical and responsible way. As evidence emerges of a gap in research on ethical deployment of AI, Dr Gopal Ramchurn is embarking on a three-year research project that will look at setting parameters for AI usage, with a key aspect…

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Intensive care

Deep learning software helps to locate the carina

The ability to accurately check the position of the endotracheal tube for patients in intensive care units is crucial to their wellbeing and safe treatment. A pivotal element of this lies in identifying the position of the carina, a ridge of cartilage in the trachea that occurs between the division of the two main bronchi. Yet highlighting its location often proves problematic on portable chest…

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Machine learning

Training a computer to classify breast cancer tumors

Using technology similar to the type that powers facial and speech recognition on a smartphone, researchers at the University of North Carolina Lineberger Comprehensive Cancer Center have trained a computer to analyze breast cancer images and then classify the tumors with high accuracy. In a study published in the journal NPJ Breast Cancer, researchers reported they used a form of artificial…

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Digitising care

Every nurse is an e-nurse

Following a report from software firm Nuance Communications that suggests technology firms should consider shadowing nurses to fully understand their workflows and inform the creation of solutions that work for them, nurses’ views on technology and data are to be consulted in a new Royal College of Nursing initiative alongside NHS Digital’s chief nurse Anne Cooper. Cooper is supportive of the…

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Hospital 4.0

Discreet staff, patient and asset monitoring

In future, healthcare intelligent IoT solutions for real-time and location-based management of assets, employees and patients will be integral. ‘Medicosolution is working on holistic digital concepts for the healthcare sector and offers a platform for integration for existing solutions,’ the IT firm reports. ‘All processes can be tracked in real time,’ Max Schröfelbauer, its CEO,…

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Cardiology

AI system improves heart disease diagnosis

Cardiologists in the UK are trialling an artificial intelligence (AI) system that will help better diagnose heart disease. Devised by researchers from the University of Oxford, it can predict heart disease and cardiac events from ultrasound stress test images with initial results showing that the AI system is far more accurate than conventional techniques. Paul Leeson, Professor of Cardiovascular…

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Cardio app

AI system screens early Phase AFib

Here at Medica, the Taiwanese start-up Maisense is demonstrating Freescan, its artificial intelligence (AI) based solution to screen for stroke through the early detection of atrial fibrillation (AFib). Speaking of the system’s aims, Maisense summed up this huge health problem. ‘Every four minutes, someone dies of stroke. Thirteen percent of these are classified as haemorrhagic stroke. When…

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Mobile data transfer

5G makes tele-surgery fit for the future

A 4G symbol next to the signal strength bar on a smartphone assures fast data transmission. 5G, the next generation of technology, is already waiting in the wings and could herald a new era for tele-surgery, PD Dr. Michael Kranzfelder is convinced. However, there are a few obstacles to overcome first. Whilst 4G has data transfer speeds of up to 100 Mbit/s, 5G will increase this to 10Gbit/s, i.e.…

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Digitalisation

National initiatives show limited success

Spain has powerful regional e-health projects, but implementing a national strategy remains a complicated task. Lack of interoperability and low resources slow down data sharing across 17 autonomous communities, and sometimes even within the same region, key experts in the field explain. Although Spain transfers skills to its communities, everyone can benefit from emergency and primary care…

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Embracing the digital age

France simplifies healthcare

Successful pilot scheme means TERR-eSanté will be rolled out for the whole of the Ile-de-France. The French have a reputation as early adopters of telemedicine driven by the desire to modernise healthcare by the judicious use of the latest technology. The first ‘carte vitale’ (national health card) with a microchip was introduced in 1998. Since 2011, the information stored on the cards has…

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Future of radiology

'Radiologists who do not use AI will be replaced by those who do'

Recent developments in artificial intelligence (AI) created a veritable hype. However, that initial awe was increasingly mixed with apprehension about the potential effects of AI on healthcare. In radiology, bleak dystopias are conjured up with AI replacing the human radiologist. A scenario that Dr Felix Nensa, consultant at the Institute of Diagnostic and Interventional Radiology and…

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Long-term communication success in digitised healthcare

E-health in Denmark

The Danes have shown for some time how e-health can work successfully on a national level. The health portal sundhed.dk (= health), initiated in 2001 and launched in 2003, is part of the public healthcare system. As of January 2018, the Danish national strategy describes sundhed.dk as a national access point for personal health-related data for hospitals, general practitioners and communities,…

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Open source

Machine Learning tool could help choose cancer drugs

The selection of a first-line chemotherapy drug to treat many types of cancer is often a clear-cut decision governed by standard-of-care protocols, but what drug should be used next if the first one fails? That’s where Georgia Institute of Technology researchers believe their new open source decision support tool could come in. Using machine learning to analyze RNA expression tied to…

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