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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Cutting risk of death

Machine learning rapidly detects sepsis

Researchers used artificial intelligence to identify sets of genes that predict whether a patient will acquire severe sepsis.

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Virtual reality

VR archery is “Braille” for orientation of blind people

Virtual reality helps to understand how blind people move and orient themselves in space. In the future it may become a serious game able to rehabilitate blind people’s orientation skills

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Monitoring after surgery

Smart sutures to monitor deep surgical wounds

To detect wound complications as soon as they happen, a team of researchers has invented a smart suture that is battery-free and can wirelessly sense and transmit information from deep surgical sites.

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Subset of wearables

From the wrist into the ear – the potential of hearables

Progress in miniaturising sensor technology has opened up new possibilities for monitoring vital signs outside the hospital environment. A subset of wearables are the so-called hearables – in-ear devices that are well suited for long-term monitoring as they are non-invasive, inconspicuous and easy to fasten. Hearables offer two major benefits: their proximity to the torso and vascular system of the brain and ear is a physiological advantage and motion artefacts often seen with wrist wearables are no longer an issue for in-ear devices.

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Intelligent algorithms

The gait lab for the pocket – app-based fall prevention

Every day, elderly people fall – be it at home or in care facilities. Med-tech start-up Lindera developed an app that allows motion analysis via a smartphone camera to minimize the risk of falling.

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Game elements

Gamification in diabetes care

The number of gamified mobile applications is rising rapidly—especially in healthcare. Gamified apps or devices are used in many fields, from mental health therapy to stroke rehab to managing…

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Blood clot screening

AI could help detect pulmonary embolisms with ECG data

A new pilot study suggests that machine learning algorithms which fuse electrocardiogram (ECG) and electronic health record data may help doctors screen for dangerous, lung-clogging blot clots.

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Key technologies

Artificial intelligence in medicine will prevail

Artificial intelligence (AI) is changing our healthcare systems. It can help us detect diseases earlier, improve patient care and reduce healthcare costs. However, there is still a lack of trust, of rules and safety regulations and of broad data pools. How can we use AI successfully in healthcare systems and what role will it play in the future?

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IT security

Cyberattacks on critical infrastructures on the rise

Some ten years ago, it was unthinkable that virtually all company data was stored in the Cloud. Now it’s what almost every company does. However, the increasing complexity of corporate IT infrastructures also comes at a price. The sheer size and complexity of the systems makes it difficult to keep track of everything that is going on digitally. And this leads to more and more successful cyber…

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Pre-, post- and interoperative

Wearable devices in the surgical environment

Wearable technology has become an important part of medicine, from tracking vital signs to disease diagnosis. In surgery, wearable technologies can now assist, augment, and provide a means of patient assessment before, during and after surgical procedures. Wearable technologies are applied before the patient even reaches the operating room, for example in prehabilitation, i.e. pre-treatment…

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Digital infrastructure

Update: 5G in German healthcare

This September, the symposium 5G4Healthcare, organised by the Technical University of Applied Sciences (Ostbayerische Technische Hochschule - OTH) Amberg-Weiden, Germany, explored how 5G can contribute to greater efficiency in healthcare. The event was based on the insights from the 5G4Healthcare project at OTH. Launched in 2020, it is one of six research projects in the 5G innovation programme…

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IT security

Cyber attack: Be prepared!

Ransomware attacks are a highly profitable and flourishing business in the 21st century. They can have a drastic impact on hospitals, clinical laboratories, and patients. The Sophos Group, a British security hard/software company, has reported survey responses from 328 healthcare IT managers in 30 countries.

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Addressing coronavirus vaccine hesitancy

Covid-19: Could a chatbot help overcome vaccine concerns?

French researchers have found that addressing concerns related to the Covid-19 vaccination via a chatbot interface might be capable of swaying the vaccine-hesitant. Vaccine hesitancy is one of the major challenges in containing the Covid-19 pandemic. Previous studies have revealed that mass communication—through short messages relayed by television or radio—is not a very effective means of…

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Cyberattacks and countermeasures

Healthcare cybersecurity in the EU and US: a technical, regulatory or political issue?

The pandemic has put a spotlight on the increasing role of cyberattacks and weaknesses in healthcare. In healthcare as in other industries, cybercrime does not stop at national borders. With this idea in mind, the US consulate general in Düsseldorf and the US embassy in Vienna recently invited interested parties to their Cybersecurity in Healthcare Briefing.

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IT security

IAM: Even biometrics can be hacked

Of all the methods used in identity and access management (IAM), biometrics is arguably the oldest: it has been around long before IAM was a “thing”. Humans are naturally optimized for recognizing fellow humans’ faces, voices and other biometric features. However, even biometric recognition between humans is less than perfect, as countless cases of successful impersonators and impostors…

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Discussing benefits and flaws

AI in cardiology: a marriage made in heaven – or hell?

The role of Artificial Intelligence (AI) is one of the most divisive issues in cardiology. Two leading experts argue the pros and cons of its use, exploring its benefits and advantages to cardiac care, as well as highlighting the pitfalls and shortcomings of AI, while underlining the need for clear guidelines and regulations for its use going forward.

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Biological image analysis

Machine learning accelerates super-resolution microscopy

Scientists use super-resolution microscopy to study previously undiscovered cellular worlds, revealing nanometer-scale details inside cells. This method revolutionized light microscopy and earned its inventors the 2014 Nobel Prize in Chemistry. In an international collaboration, AI researchers from Tübingen have now developed an algorithm that significantly accelerates this technology.

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Skin cancer identification

Dermatology & AI: The need to quantify skin tones

Although artificial intelligence (AI) tools and smartphone apps that help identify suspicious moles and potential skin cancers are starting to proliferate, dermatology informatics has far to go before becoming a clinically adoptable technology. Many challenges need to be resolved, not least of which is the need for more image data representing people of colour.

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Second stroke prevention

After a stroke, AI can calculate risk of having another

Artificial intelligence (AI) can be used to give stroke patients a personalised and more accurate risk for suffering a recurrence, according to a new study presented at the European Stroke Organisation (ESO) Conference. Experts believe the study will help to identify the most important factors for preventing stroke recurrence and has the potential to help prevent many thousands of strokes a year…

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Congress

Patient-centered digitalization in modern healthcare

Patient-oriented innovations and cases of the processes digitalization are presented at the Healthcare Automation and Digitalization Congress 2021 (AUTOMA+ Healthcare Edition 2021). The Congress takes place online, at BGS Online Platform on September, 27-28, 2021, and gathers hospitals, healthcare providers, and pharmaceutical companies to network and share solutions regarding the personalized…

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Risk reduction, rehabilitation

The role of AI in preventive cardiology

Artificial Intelligence and Big Data in cardiovascular risk reduction and cardiac rehabilitation are offering new opportunities for increased diagnostic accuracy and more personalised exercise prescription. Experts believe it can be harnessed to design tools to enable cardiologists to make better decisions, and have more confidence in the decision-making process. The topic was featured at ESC…

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Cardiology & AI

Machine learning to predict sudden cardiac death

Could machine learning (ML) help to predict sudden cardiac death (SCD)? According to Dr Sanjiv Narayan, Professor of Medicine at Stanford University, California, many exciting studies are using ML to predict sudden death in ways not previously possible. ‘Complex data, such as MRI geometry, very large electronic health records or continuous data streams from wearables, are difficult to probe…

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Early detection and treatment of illnesses

Researchers develop implantable AI system

Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that diseases can be detected at a very early stage based on subtle changes. However, implanting AI within the human body is still a major technical challenge. TU Dresden scientists at the Chair of…

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