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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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…

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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…

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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,…

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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,…

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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…

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Potential risks

Mobile apps have serious problems with privacy

An in-depth analysis of more than 20,000 health related mobile applications (mhealth apps) finds “serious problems with privacy and inconsistent privacy practices.”

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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 However, the data AI algorithms use to draw their conclusions is outdated.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 biological sex and socio-cultural gender and their effects on individual health and disease states. Thus, the ‘thinking machines’ not only reproduce discriminating bias and prejudices but also produce suboptimal and even outright wrong results. German experts discussed the gender problem in healthcare AI at the Econ Forum by TK at virtual.MEDICA 2020.

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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…

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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…

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Covid-19 variants

AI detects life-threatening blood vessel inflammation

New artificial intelligence (AI) technology to scan for heightened blood vessel inflammation can calculate a person’s risk of death from Covid-19 and its variants.

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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 on phones and bracelets are helping assess exercise performance but experts say it remains unclear which are most suitable for research or best at motivating cardiovascular patients to keep active. The ESC Preventive Cardiology 2021 online congress heard that devices can also vary in their accuracy and usefulness for different activities. The session, “Activity-monitoring…

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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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Inconceivable?

Many fertility apps not exactly fussy about data privacy, study shows

The majority of top-rated fertility apps collect and even share intimate information without the users’ knowledge or permission, a collaborative study by Newcastle and Umea Universities has found. Researchers are now calling for a tightening of the categorisation of these apps by platforms to protect women from intimate and deeply personal information being exploited and sold.

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Laboratory solutions provider

CliniSys, your trusted diagnostic IT partner

CliniSys Group aims to help healthcare professionals test, diagnose and treat millions of patients every day, saving or improving quality of life, the company reports. "CliniSys is a trusted partner to hospitals and private healthcare organisations across Europe. We routinely provide reliable, intuitive diagnostics solutions that help healthcare professionals spend more time focusing on…

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LVAD patients monitoring

5G and AI: Telemedicine support for chronic heart failure patients

A new research project will embrace the combination of 5G telecommunications technology and AI to offer continuous remote monitoring to seriously ill heart failure patients. An increasing number of chronic heart failure patients are receiving Left Ventricular Assist Devices (LVADs) to help them live with their condition, but physicians acknowledge the need to effectively monitor them.

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Merging modalities

AI combines ECG and X-ray to diagnose arrhythmic disorders

Kobe University Hospital’s Dr. Makoto Nishimori and Project Assistant Professor Kunihiko Kiuchi et al. (of the Division of Cardiovascular Medicine, Department of Internal Medicine) have developed an AI that uses multiple kinds of test data to predict the location of surplus pathways in the heart called ‘accessory pathways’, which cause the heart to beat irregularly. In this study, the…

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Discerning good algorithms from bad ones

Medical AI evaluation is surprisingly patchy, study finds

In just the last two years, artificial intelligence has become embedded in scores of medical devices that offer advice to ER doctors, cardiologists, oncologists, and countless other health care providers. But how much do either regulators or doctors really know about the accuracy of these tools? A new study led by researchers at Stanford, some of whom are themselves developing devices, suggests…

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Reducing hospital-related stress and anxiety

Website helps children and parents to prepare for hospitalization

Every year, millions of children around the world are admitted to hospital for having anaesthesia and surgery. Many of them experience preoperative anxiety which negatively affects both their hospital experience and medical outcome, as well as their future relationships with healthcare services from both a short-term and long-term point of view. A new, internationally aimed website offers…

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Shepherding medical data

Machine learning platform turns healthcare data into insights

Over the past decade, hospitals and other healthcare providers have put massive amounts of time and energy into adopting electronic healthcare records, turning hastily scribbled doctors' notes into durable sources of information. But collecting these data is less than half the battle. It can take even more time and effort to turn these records into actual insights — ones that use the learnings…

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'GI Genius'

FDA authorizes marketing of first AI device to help colon cancer early detection

The U.S. Food and Drug Administration authorized marketing of the GI Genius, the first device that uses artificial intelligence (AI) based on machine learning to assist clinicians in detecting lesions (such as polyps or suspected tumors) in the colon in real time during a colonoscopy. “Artificial intelligence has the potential to transform health care to better assist health care providers and…

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Information distribution

Experts urge solution to health data transfer barriers

Legal challenges hamper the sharing of health data with researchers outside the EU/European Economic Area (EEA), a new report by European academy networks concludes. The authors call for solutions to overcome these barriers to ensure timely and straightforward research collaboration in the public sector and thereby maximize health benefits for European citizens.

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Digital health

Why focus on wearables and home-based hospitals?

Accessible and affordable healthcare is one of the topics of Healthcare Automation and Digitalization Congress. It will take place in Zurich, Switzerland on the 27th - 28th of September, 2021. At the Congress, top-management from healthcare providers and pharmaceutical companies, healthcare professionals, IT managers, and heads from technology companies will discuss the developing ways of the…

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Early diagnosis through thumb movements

Smartphone app to detect carpal tunnel syndrome

A Japanese research group combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome. Carpal tunnel syndrome is common amongst middle-aged women. The disease causes compressed nerves in the wrist, causing numbness and difficulty with finger movements. While an…

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Harmony Transcatheter Pulmonary Valve (TPV) System

FDA approval for implant to treat congenital heart disease

The U.S. Food and Drug Administration approved the first in the world non-surgical heart valve to treat pediatric and adult patients with a native or surgically-repaired right ventricular outflow tract (RVOT). The device, called the Harmony Transcatheter Pulmonary Valve (TPV) System, is intended to improve blood flow to the lungs in patients with severe pulmonary valve regurgitation without…

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Acidity analysis

Harnessing AI to identify cancer cells

Healthy and cancer cells can look similar under a microscope. One way of differentiating them is by examining the level of acidity, or pH level, inside the cells. Tapping on this distinguishing characteristic, a research team from the National University of Singapore (NUS) has developed a technique that uses artificial intelligence (AI) to determine whether a single cell is healthy or cancerous…

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Self-administration of medication

Many patients use their inhalers and insulin pens wrong. An AI system could fix this

From swallowing pills to injecting insulin, patients frequently administer their own medication. But they don’t always get it right. Improper adherence to doctors’ orders is commonplace, accounting for thousands of deaths and billions of dollars in medical costs annually. Researchers at the Massachusetts Institute of Technology (MIT) have developed a system to reduce those numbers for some…

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Model analysis

Machine learning for Covid-19 diagnosis: promising, but still too flawed

Systematic review finds that machine learning models for detecting and diagnosing Covid-19 from medical images have major flaws and biases, making them unsuitable for use in patients. However, researchers have suggested ways to remedy the problem. Researchers have found that out of the more than 300 Covid-19 machine learning models described in scientific papers in 2020, none of them is suitable…

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