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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Healthcare IT security

Multifactor Authentication: a strong defense, but not impenetrable

IT networks of hospitals and other healthcare institutions are currently very much in the focus of both hackers and IT security specialists. In a healthcare landscape in which both organizational and…

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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…

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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…

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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…

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Preprogrammed bias?

AI and the gender gap: Data holds a legacy of discrimination

Technologies based on artificial intelligence (AI) are considered the epitome of progress. However, the data AI algorithms use to draw their conclusions is outdated. It ignores the existence of…

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Increased processing power

Personalizing cancer treatment with quantum computing

Cancer patients’ medical records can often comprise up to 100 terabytes of individual — and usually very heterogeneous — data, including blood and tumor values, personal indicators, sequencing…

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AI in public health

Inspiring women to create technology that impacts society

Some people change the narrative about technology and society. One of them is Nuria Oliver, Chief Data Scientist at Data-Pop Alliance, Chief Scientific Advisor at the Vodafone Institute, and Co-founder and Vice-president of the European Laboratory for Learning and Intelligent Systems (ELLIS). In an interview with HiE, she explains how she develops computational tools and uses artificial intelligence (AI) for social good, including public health, and promotes a more gender-balanced approach to work and society.

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Discussing benefits and flaws

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

The role of Artificial Intelligence (AI) – one of the most divisive issues in cardiology – was debated during a session of the European Society of Cardiology annual congress. Two leading experts…

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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…

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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…

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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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Clinical intelligence

Dedalus and Rx.Health partner to 'liberate' healthcare data

Healthcare software company Dedalus announced its strategic partnership in North America with Rx.Health, an AI-based digital health unification and clinical intelligence platform. The partnership will enable collaboration between Dedalus’ solution, Digital Connect for Health (DC4H) with Rx.Health’s platform that unifies and automates digital health through an EHR connected formulary and 250+…

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Intensive care & AI

Machine learning model predicts ICU patients' mortality risk

A research team at Universitat Autònoma de Barcelona (UAB), in collaboration with the Hospital de Mataró, developed a new machine learning-based model that predicts the risk of mortality of intensive care unit patients according to their characteristics. The research was published in the latest edition of the journal Artificial Intelligence in Medicine, with a special mention as a…

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Siemens Healthineers and Flywheel

Partnership for healthcare research collaboration

Medical data management company Flywheel announced a partnership and enterprise license agreement with Siemens Healthineers. Under the agreement, Flywheel will deliver a cloud-based research collaboration solution on the Siemens Healthineers teamplay digital health platform. Rolling out first in North America, the teamplay collaboration solution will enable Siemens Healthineers and its many…

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Panic prevention

Drone helps elderly escape from burning nursing homes

A student team at Eindhoven University of Technology (TU/e) has introduced an interactive drone that guides elderly people to the exit during a fire in a nursing home, even before the fire brigade arrives. The Blue Jay Aeden is said to be the first interactive drone in the world that can transmit emotions and can fulfil an important function in saving people's lives.

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Connectome analysis

Machine learning improves prediction of stroke recovery

An international team of scientists led by EPFL has developed a system that combines information from the brain’s connectome – the “wiring” between neurons – and machine learning to assess and predict the outcome of stroke victims. When blood flow to the brain is somehow reduced or restricted, a person can suffer what we know as a stroke (from “ischemic stroke” in medical jargon).…

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Deep learning vs Aids

AI app could help diagnose HIV more accurately

Pioneering technology developed by University College London (UCL) and Africa Health Research Institute (AHRI) researchers could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries. Academics from the London Centre for Nanotechnology at UCL and AHRI used deep learning (artificial intelligence/AI) algorithms to improve health workers’…

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WHO global report

The six guiding principles for AI in healthcare

Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance. The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of international experts…

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Study on devices and implants

AI could improve speech recognition in hearing aids

In noisy environments, it is difficult for hearing aid or hearing implant users to understand their conversational partner because current audio processors still have difficulty focusing on specific sound sources. In a feasibility study, researchers from the Hearing Research Laboratory at the University of Bern and the Inselspital are now suggesting that artificial intelligence (AI) could solve…

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HIMSS

COVID response boosted by digital transformation

Digital transformation has been a significant factor in the way hospitals have responded to the challenges posed by the COVID-19 pandemic. However, at HIMSS21 European Health Conference, experts were also quick to point out that the approach of the ‘human resource’ to the challenges and changes was a key factor.

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IoT in the clinical environment

The smart hospital: A place with ears and eyes

Andrew Gostine, MD, and CEO of Artisight, talked at the recent NVIDIA's GPU Technology Conference (GTC) about Artisight’s platform that allows hospitals to deliver improved organisational and financial performance by deploying an Internet of Things (IoT) sensor network to collect data and using artificial intelligence (AI) to analyse the gathered information in a way that is compliant with the…

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„Swarm Learning“

AI with swarm intelligence to analyse medical data

Communities benefit from sharing knowledge and experience among their members. Following a similar principle - called “swarm learning” - an international research team has trained artificial intelligence algorithms to detect blood cancer, lung diseases and Covid-19 in data stored in a decentralized fashion. This approach has advantage over conventional methods since it inherently provides…

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Medical Device Regulation update

Lessons learned from implementing the MDR

26 May 2021 marks the Date of Application of the European Medical Device Regulation (MDR). Replacing the Medical Devices and Active Implantable Medical Devices Directives, the Regulation is a welcome update for patient safety, transparency, and access to medical devices for Europeans. COCIR has been contributing to the development and implementation of the MDR since the very first discussions in…

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Cardiology

On the way to better analysis of paediatric ECGs

Physicians are increasingly using software to automatically evaluate Holter ECG signals in adult patients, but so far, no software has been developed for children. Cardiomatics and the Medical University of Warsaw are on the way to a breakthrough in paediatric cardiology. They are developing an international tool for automatic assessment, analysis, and interpretation of electrocardiographic…

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Combining common risk factors

Deep learning enables dual screening for cancer and CVD

Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and…

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Intelligent health

Introducing AI across the NHS

Artificial Intelligence in health and care is being introduced across the UK via a major national project that is already producing a range of innovations. Latest developments were outlined to the online Intelligent Health conference in a headlining presentation by Dr Indra Joshi, Director of AI at NHSX, which is a joint unit bringing together teams from NHS England and NHS Improvement, and the…

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Cardiac care to go

Wearables in cardiology: from activity monitoring to research support

Activity monitors via phones and bracelets help to assess exercise but experts question which device may really stimulate activity in cardiovascular patients, and which might be best for research? Three types of activity monitors exist: uniaxial, which measure acceleration in one plane; biaxial and triaxial, which measure acceleration in two or three planes; and multisensory activity monitors,…

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AI in cardiology

Machine learning accurately predicts cardiac arrest risk

A branch of artificial intelligence (AI), called machine learning, can accurately predict the risk of an out of hospital cardiac arrest--when the heart suddenly stops beating--using a combination of timing and weather data, finds research published online in the journal Heart. Machine learning is the study of computer algorithms, and based on the idea that systems can learn from data and identify…

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Robotic navigation

Helping robots find their way in crowded emergency rooms

Computer scientists at the University of California San Diego have developed a more accurate navigation system that will allow robots to better negotiate busy clinical environments in general and emergency departments more specifically. The researchers have also developed a dataset of open source videos to help train robotic navigation systems in the future. The team, led by Professor Laurel Riek…

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