Health IT

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

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…

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…

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…

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 significantly lower odds of a prolonged hospital stay. The study, published in the February issue of JAMA Network Open, found that for every 100 steps taken, the patient decreased their length of stay by 4 percent. “We measure everything about our patients – whether it’s heart rate, blood pressure, etc. – but nowhere do we measure steps, even though we know steps are so important for a patient’s…

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…

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…

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…

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…

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…

Data handling

Blockchain: “Hype will fade but the technology will remain”

A new dimension in data handling is not only emerging, but is already a reality in our lives. However, political discourse about this often lags behind real events. We spoke with two experts who have…

Bacterial antigens

Machine learning tool predicts peptides' potential as immune activators

A deep neural network algorithm called BOTA uses bacterial genomes to identify unrecognized bacterial antigens.

Epidemics

Text messages quickly track health care use during Ebola outbreak

Text messages aren't just a way to chat with family and friends—they are a viable method for rapidly gathering information during a public health crisis.

Pilot project

Could AI 'Audrey' be the future first response assistant?

Imagine a first responder answering the call to a natural disaster, a house fire, or an active shooter incident where there may be multiple injuries and unknown casualties. The information the…

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.

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…

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…

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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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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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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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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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Smartphone detection

Spectrometry? There's an app for that!

Checking a lump for malignancy, finding out if food is fresh, just with your smartphone? It’s possible, according to Eindhoven University of Technology researchers in the Netherlands. Their recently presented spectrometer is small enough to insert into a smartphone. This device is not yet ready for use on a big scale, Professor Andrea Fiore, supervisor of the Eindhoven research team points out.…

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AI structure

Machine Learning: into the pumpkin patch

Standardised and well-structured data, as well as the definition of clear objectives, are indispensable prerequisites for artificial intelligence implementation into clinical processes. ‘Ask not what artificial intelligence can do for you but what you can do for artificial intelligence!’ This variation on John F Kennedy’s famous quote comes from Dr Ben Glocker, Senior Lecturer in Medical…

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ANESTHESIOLOGY 2018

Virtual reality reduces children’s anxiety and pain

Innovative virtual reality (VR) technologies hold promise in reducing children’s anxiety and pain before and after medical procedures and surgery, suggest two studies that were presented at the Anesthesiology 2018 annual meeting. The first study found virtual reality hypnosis (VRH) reduced anxiety, total postoperative opioid consumption and vomiting in children after scoliosis surgery.…

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3D & CHD

The changing face of imaging in cardiology

While the question is still debated as to whether MRI is the better CT, along comes a potential game changer – a new data based 3-D reconstruction method of heart anatomy and function that aims to replace diagnostic coronary angiography. In the near future not only adult patients with coronary heart disease could benefit from this new technique but also children with complex congenital heart…

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Reinforced learning

AI masters tightrope walk of cancer treatment dosage

Using a new approach called 'reinforced learning', researchers have taught an artificial intelligence (AI) to responsibly choose the right amount of chemo- and radiotherapy for glioblastoma patients. The technique, which is insprired by behavioural psychology, has given the AI the ability to master the tightrope walk between effective tumor shrinkage and the medications' severe side effects.

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Personalised drug treatment

AI approach to help myeloma patients

A multidisciplinary team of researchers from the National University of Singapore (NUS) has developed an artificial intelligence (AI) technology platform that could potentially change the way drug combinations are being designed, hence enabling doctors to determine the most effective drug combination for a patient quickly. Applying the platform towards drug resistant multiple myeloma, a type of…

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Interventional radiology in oncology

Augmented reality sees right through the patient

A new augmented reality system to guide procedures in interventional oncology is currently taking its first steps. A three-step experiment proves this system to be precise and reliable enough to facilitate image guidance critical to the success of interventional oncology procedures. Using a back-face camera and a tablet PC to visualise the patient, the system projects 3D images of body structures…

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AI & Deep Learning

How to escape from data silos

Artificial Intelligence (AI) and machine learning are poised to transform healthcare, potentially freeing practitioners across many disciplines from routine tasks and saving lives through efficient early detection. Offering insight into the health of both individuals and populations, these ’deep learning‘ algorithms have the potential to process vast amounts of data and identify warning…

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