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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Fat radiomic profile

Using AI to predict heart attacks

Technology developed using artificial intelligence (AI) could identify people at high risk of a fatal heart attack at least five years before it strikes, according to new research funded by the…

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In focus

Universal algorithm set to boost microscopes

Scientists from EPFL have developed an algorithm that can determine whether a super-resolution microscope is operating at maximum resolution based on a single image. The method is compatible with all…

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Watching the change

Predicting cancer risk with computational electrodynamics

Researchers from Northwestern University are using Argonne supercomputers to advance the development of an optical microscopy technique that can predict and quantify cancer risks at extremely early…

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Neural network approach to ECG

AI detects heart failure from a single heartbeat

Researchers have developed a neural network approach that can accurately identify congestive heart failure with 100% accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat, a new study reports. Congestive heart failure (CHF) is a chronic progressive condition that affects the pumping power of the heart muscles. Associated with high prevalence, significant mortality rates and sustained healthcare costs, clinical practitioners and health systems urgently require efficient detection processes. Dr Sebastiano Massaro, Associate Professor of Organisational Neuroscience at the University of Surrey, has worked with colleagues Mihaela Porumb and Dr Leandro Pecchia at the University of Warwick and Ernesto Iadanza at the University of Florence, to tackle these important concerns…

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Upgrade your knowledge

Symposium: AI in medical imaging

In a symposium on September 9, 2019, the School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, provides an overview about current trends in…

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Personalised medicine

Why digital twins could be the ideal therapy testbed

Advanced computer models of diseases can be used to improve diagnosis and treatment. The goal is to develop the models to “digital twins” of individual patients. Those twins may help to…

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Is the problem also the solution?

Why digitisation pushes (and prevents) physician burnout

Deployment of electronic health records (EHR) are increasingly cited as a factor in physician burnout. However, a senior figure with the Healthcare Information and Management Systems Society (HIMSS)…

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Innovation award IERA

This robot destroys hospital bugs

The 15th Innovation and Entrepreneurship Award in Robotics and Automation (IERA) goes to the “UVD Robot” by Blue Ocean Robotics. The collaborative robot autonomously drives around hospitals while…

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Agreement

French academic hospital deploys Philips imaging solution

Royal Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est region of France, announced a 10-year agreement to implement Philips’…

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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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Watson on the case

Personalised cancer care through AI

The Geneva University Hospitals (HUG) is the first European university hospital to utilize IBM’s artificial intelligence (AI) technology to help uncover therapeutic options for cancer patients. HUG…

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Mobile Health

Apple Watch: health studies to benefit from new smartwatch app

During its latest keynote presentation, tech giant Apple announced cooperations for health studies. The latest model of their smartwatches are to be key in their execution. Apple announced the three…

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Catheter ablation support

Software lets surgeon see real-time 3D map of heart

Innovative software that allows a surgeon to view inside a patient’s heart in real time while applying treatment has been used for the first time in the UK in operations at the National Institute…

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Miniscule swimmers

Microrobots could re-shape drug delivery

Scientists have developed minute flexible robots that could help revolutionise drug delivery in the future. These ‘microrobots’ are so small that they could be ingested, or inserted into human veins to deliver drug therapies directly to diseased body areas. The microbot project is still very much at the research stage, but scientists masterminding the research at ETHZ (Swiss Federal Institute…

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Symptoms & side effects

Digital monitoring for cancer patients ‘highly successful’ in trials

In the wake of an already devastating cancer diagnosis, European cancer patients often grapple with debilitating symptoms and side effects. For these patients, the eSMART (Electronic Symptom Management System Remote Technology) trial provides new hope for improved management of the side effects and symptoms of cancer, and with it, improved quality of life. Now, the eSMART Consortium presented its…

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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 some AI experts at Medica 2018, this could be the case – soon. Held during the event, the Health IT Forum examined the predictive potential of artificial intelligence – although some obstacles must…

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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 – including showing some of the fingerprints left in lung tumours by specific chemicals found in tobacco smoke. Our DNA, the human genome, comprises of a string of molecules known as nucleotides. These…

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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 the Negev cybersecurity researchers, showed that the altered scans successfully deceived both radiologists and artificial intelligence algorithms used to aid diagnosis. ​A 3-D CT (computerized…

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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 are only at the beginning of its use in a medical environment. For AI to function correctly huge amounts of relevant data need to be accessible to its algorithms. France is conscious of being behind…

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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 Valencia, delegates glimpsed what quantitative tools can bring to medical imaging, as leading Spanish researcher Ángel Alberich-Bayarri unveiled part of his work. The boom in companies and start-ups…

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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 defibrillators to patients in need or whether they can transport laboratory samples or blood products. These developments catch lots of attention, but PD Dr Dominik Pförringer, trauma and orthopaedic…

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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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