03/12/2021A new automated system that involves deep learning technology enables the detection of COVID-19 lesion via the analysis of a computed tomography (CT) scan. This system, described in a study published in the journal Computers in Biology and Medicine, has been carried out by researchers of the UB, the EURECAT Technology Centre of Catalonia, and the Computing Vision Center (CVC).
03/12/2021The use of artificial intelligence and deep learning in medical diagnostics is growing rapidly. Ubotica’s neural network is based on deep learning and detects the presence of diabetic retinopathy in retinal images. Dr. Holger Pfeifer talks about the project successes, and reveals the obstacles researchers must continue to overcome in adopting deep learning systems.
02/12/2021A team led by researchers at Massachusetts General Hospital (MGH) has demonstrated that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a novel virus-based cancer therapy.
01/12/2021Digital health solutions play an increasingly important role among physicians and healthcare professionals, which means they must gain the relevant competency skills to succeed in this area. The digital transformation of the healthcare sector has opened many new opportunities that are now permeating the work of medical professionals.
30/11/2021Published in the Open-Access, Open-Data journal GigaScience is the National COVID-19 Chest Imaging Database (NCCID), a centralised database containing chest X-rays, Computed Tomography (CT) and MRI scans from patients across the UK.
26/11/2021Obtaining an accurate speed of sound (SoS) inside the body leads to improved resolution of ultrasound or photoacoustic (PA) images. However, it is difficult to accurately predict the SoS since it differs from person to person, depending on the random distribution of muscle, bone, and fat in each individual.
26/11/2021A lot of laboratory tasks require high precision on one hand, on the other they tend to be repetitive and tiring. While humans can only work for a limited time here while staying effective, robots are able to work without taking a break. The start-up bAhead wants to make collaborative robots, CoBots, adaptable helpers with the help of AI. We learn more from CEO & Founder Rainer Treptow.
25/11/2021A recent study from Ann & Robert H. Lurie Children's Hospital of Chicago found that using a consumer-grade wearable device to track a child's heart rate and physical activity after surgery could help clinicians decide if at-home recovery is going as expected or if an emergency department (ED) visit is needed to address possible complications.
24/11/2021Instead of surgically removing a sample of skin, sending it to a lab and waiting several days for results, your dermatologist takes pictures of a suspicious-looking lesion and quickly produces a detailed, microscopic image of the skin.
24/11/2021How can we better diagnose blood diseases? A research group aims to answer this question with artificial intelligence (AI). Their goal is to facilitate the time-consuming analysis of bone marrow cells under the microscope. The researchers developed the largest open-source database on microscopic images of bone marrow cells to date.
22/11/2021By coupling machine learning with whole genome sequencing, University of Pittsburgh School of Medicine and Carnegie Mellon University scientists greatly improved the quick detection of infectious disease outbreaks within a hospital setting over traditional methods for tracking outbreaks.
19/11/2021Atrial fibrillation—an irregular and often rapid heart rate—is a common condition that often leads to the formation of clots in the heart that can travel to the brain to cause a stroke. A researchers team has developed an artificial intelligence–based method for identifying patients who are at risk for developing atrial fibrillation and could therefore benefit from preventative measures.
19/11/2021According to an open-access Editor's Choice article in ARRS' American Journal of Roentgenology (AJR), convolutional neural networks (CNN) trained to identify abnormalities on upper extremity radiographs are susceptible to a ubiquitous confounding image feature that could limit their clinical utility: radiograph labels.
17/11/2021The laboratory industry is currently in commotion: the whole world is watching when it comes to news from the Corona pandemic. But tests and the sequencing of new variants are not the only stress factors: robotics, networking and AI are finding their ways into laboratories and turn existing processes upside down. We talked to some of the exhibitors at MEDICA 2021 about this.
11/11/2021Diabetic retinopathy (DR), a complication of the retina brought about by diabetes, is one of the most frequent reasons for vision loss in European adults between 25 and 60 years of age. When detected early, treatment can effectively reduce or prevent vision loss. To date however, national screening programs have been available in only a few countries and even then, they are costly.
10/11/2021The development of antibiotics is one of the most significant breakthroughs in medicine. However, pathogens develop resistance mechanisms that thwart the effectiveness of antibiotics. Around 700,000 people die every year because of such resistant bacteria. Thanks to simulation strategies, supercomputers can help speed up the much-needed development of new antibiotic variants.
10/11/2021Transcranial focused ultrasound can be used to treat degenerative movement disorders, intractable pain, and mental disorders by delivering ultrasound energy to a specific area of the brain without opening the skull. This treatment must be performed with an image-based technology that can locate the brain lesions. Doctors typically use CT to obtain information about a patient's skull.
09/11/2021Researchers from the Universitat Politècnica de València, belonging to the ALFA group of the Valencian Institute of Artificial Intelligence (VRAIN), have participated in the development and validation of a new pandemic simulator that helps to predict the evolution of pandemics in different epidemiological scenarios.
09/11/2021Artificial intelligence has become hugely more important in medicine. This is mainly due to the availability of ever increasing amounts of patient data. Despite this humans are often unable to properly process this much information because of limiting factors such as personnel or time availability, cognitive capacity and financial factors. The result of that is misdiagnosis.
08/11/2021Using cutting-edge genetic engineering, UZH researchers have developed a model to study hereditary kidney disease with the help of tropical frogs. The method allows them to collect large amounts of data on anomalies, which can then be analyzed using artificial intelligence. The research opens up new opportunities in the search for new treatment approaches for the hitherto incurable disease.
02/11/2021Taiwan has long been a model for the implementation and use of new technologies. It is thus only natural that Taiwanese companies are forerunners when it comes to Artificial Intelligence (AI) in healthcare. This is also one of the topics of this year’s MEDICA CONNECTED HEALTHCARE FORUM.
02/11/2021The last year was quite different, since MEDICA had to take place online due to the Corona pandemic – but in 2021 we return to the fair halls in Düsseldorf again! There are not only about 2.900 exhibitors from 70 nations expecting you, but also a rich program in our forums and conferences. We took an advanced peek on some of the exciting highlights for you in our Topic of the Month.
02/11/2021Back problems are generally regarded as a widespread disease with many sufferers struggling with pain. A team of researchers from TU Kaiserslautern, the University Medical Centre in Mainz and several companies is working on a method that will enable more efficient monitoring of malpositions and strains on the back. Artificial intelligence methods are also being used.
27/10/2021Strokes are the cause of various disabilities, as they damage the brain such that some areas do not function properly any more. Those areas are called lesions. Directly identifying or predicting lesions in clinical daily routine is still not possible with today's imaging tools, creating the need for new software solutions.
26/10/2021COVID 19 has shown how important comprehensive basic information on infection pathways, disease progression and symptoms are for both the estimation of the pandemic course and for long-term research. The CASE platform of the DFKI spin-off coneno, founded in 2016, supports the monitoring of infectious diseases through direct participation of the population.
22/10/2021Scientists from Skoltech, Philips Research, and Goethe University Frankfurt have trained a neural network to detect anomalies in medical images to assist physicians in sifting through countless scans in search of pathologies. Reported in IEEE Access, the new method is adapted to the nature of medical imaging and is more successful in spotting abnormalities than general-purpose solutions.
19/10/2021A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure.
14/10/2021An artificial intelligence (AI)-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy, according to a report by scientists from University of Utah Health and Fabric Genomics, collaborators on a study led by Rady Children’s Hospital in San Diego.
13/10/2021Type 2 diabetes can be diagnosed with a whole-body magnetic resonance imaging (MRI) scan. This is shown by a current study. They used deep learning methods* and data from more than 2000 MRIs to identify patients with (pre-) diabetes. The results have now been published in the journal JCI Insight.
12/10/2021The Innovative Medicines Initiative (IMI) – a joint undertaking of the European Union and the European Federation of Pharmaceutical Industries and Associations (EFPIA) – announced the launch of OPTIMA, a € 21.3 million public-private research programme that will seek to use artificial intelligence (AI) to improve care for patients with prostate, breast and lung cancer.
01/10/2021Researchers have developed an AI-based tool that improves the diagnosis of breast cancer tumours and the ability to predict the risk of recurrence. The greater diagnostic precision can lead to more personalised treatment for the large group of breast cancer patients with intermediate risk tumours. The results are published in the scientific journal Annals of Oncology.
01/10/2021Huge amounts of data are generated in the laboratory every day, which have to be analyzed by hand. This is where artificial intelligence (AI) comes into play as a perfect helper: Because it evaluates such data volumes faster than humans ever could. The only problem with AI is: when it is developed, there is hardly any guideline or standard that makes AI systems comparable with each other.
01.10.2021In the laboratory, there is some work that is time-consuming and monotonous – making it the perfect place for digital solutions such as artificial intelligence or robotics. But what work can these systems really take on in a meaningful way, in which areas of the lab are they present today, and where do they still need to be improved?
30/09/2021Researchers have developed a dynamic respirator that modulates its pore size in response to changing conditions, such as exercise or air pollution levels, allowing the wearer to breathe easier when the highest levels of filtration are not required.
23/09/2021The Korea Institute of Science and Technology (KIST) has reported that a research team has developed organic neurofiber transistors with an architecture and functions similar to those of neurons in the human brain, which can be used as a neural network.
21/09/2021An artificial intelligence (AI) program can spot signs of lung cancer on CT scans a year before they can be diagnosed with existing methods, according to research presented at the European Respiratory Society International Congress.
20/09/2021The University of Bonn shows how machine learning improves the evaluation of blood analysis data and Artificial intelligence helps to diagnose leukemia.
15/09/2021The proteins of SARS-CoV-2 play key roles in how the virus manages to evade immune defense and replicate itself in patients’ cells. An international research team has now compiled the most detailed view of the virus' protein structures available to date. The analysis employing artificial intelligence methods has revealed surprising findings.
14/09/2021Researchers at the Beckman Institute for Advanced Science and Technology combined label-free microscopic imaging with artificial intelligence to quickly detect and classify SARS-CoV-2.
08/09/2021Scientists from Nanyang Technological University, Singapore (NTU Singapore), in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore have developed a novel method that uses artificial intelligence (AI) to screen for glaucoma, a group of eye diseases that can cause vision loss and blindness through damage to the optic nerve at the back of the eye.
07/09/2021The team at the University of Geneva (UNIGE), Switzerland, has developed an artificial intelligence (AI) algorithm based on the automated analysis of videos, making it possible to study children’s non-verbal communication in an anonymous and standardised manner.
01/09/2021The most common injury that affects runners stems from overuse, not falls. Early warning signs include changes in motion. Successful injury prevention could pick up on this aspect by detecting and responding to these deviations at an early stage. It is the focus of the "Smart Injury Prevention" project.
01/09/2021Heart rate monitoring, step-counting, sleep tracking: Wearable technologies keep evolving, offering more and more useful applications. Usually worn close to and/or on the surface of the skin, they are equipped with special sensors to detect and analyze information concerning physical signals or ambient data. This allows wearers to get immediate biofeedback.
01/09/2021Artificial intelligence, sensors, wearables: they all collect and process data from their wearers. They are particularly popular in sports, because users no longer have to rely on their intuition, but can optimise their training based on sober, exact data. However, wearables are often criticized for being not only practical gadgets but also data krakens.
01/09/2021Wearables are increasingly being used in sports medicine, for example, to prevent injuries or to provide users individually with real-time data about their fitness and health. By analyzing this data, risks for sports injuries can be identified early and training can be customized to the user's needs and goals.
22/07/2021As an important part of their education, medical students learn clinical skills by practicing on patients. Unfortunately, this was sometimes not an option amid the COVID-19 pandemic. The solution? Training with virtual patients. Even post-pandemic, they are a great learning tool for future medical professionals.
10/06/2021Helping hospitals in Germany build a long-term digitization strategy - that is the declared goal of the young founding team of the innovation go platform, which started at the Osnabrück University of Applied Sciences. The project is funded by EXIST, a support program of the German Federal Ministry for Economic Affairs and Energy (BMWi).
12/05/2021A current research project develops a system designed to support critical care physicians in the future. The research project "A Learning and Interoperable Smart Expert System for Pediatric Intensive Care Medicine (ELISE)" uses data collected via machine learning algorithms to assist diagnostic decision-making.
03/05/2021Digital health apps (DiGA) are increasingly becoming part of patients' everyday lives. Since the "apps on prescription" are thoroughly tested by the BfArM before approval, they are currently only tailored to individual diseases. In this Topic of the Month, we take a look at the place DiGAs already occupy in healthcare today and how they will continue to develop in the future.
22/04/2021Behind every hospital are sophisticated and complex logistics that must run like clockwork to keep things going. But how good are the processes when it comes to managing patient care and hospital staff? There are many weak links that can be avoided. Comprehensive digitization and efficient, targeted healthcare workforce management are required to set up hospital logistics for future success.
22/03/2021Alzheimer's disease is still incurable, but if detected early enough, countermeasures can improve treatment and slow the progression. Unfortunately, there is still no reliable early detection test at this juncture. This might soon change thanks to a non-invasive spectroscopy of the retina.
08/03/2021Things need to move fast in an emergency. Making the right call in this setting can be a challenge for emergency medical services – especially when symptoms are ambiguous, which is the case if a patient has difficulty breathing or exhibits a cardiovascular or poisoning emergency. A blood analysis is paramount to deliver a fast and accurate diagnosis. This is where mobOx comes in.
01/03/2021Keeping your distance, washing your hands, wearing a mask – such protective measures have been the order of the day since the SARS-CoV-2 pandemic began. But appropriate products or procedures are not suitable for everyone, are often unavailable or, despite everything, carry a residual risk. The need for new, better solutions is high. But necessity is the mother of invention.
22/02/2021Sometimes, a hospital stay can proceed successfully without a hitch. At other times, there might be an unexpected turn of events if the patient exhibits complications. Early identification of these patients could prevent unnecessary suffering. A new research project intends to develop an AI-based tool that predicts a patient’s risk of complications at an early stage.
17/02/2021Artificial intelligences (AI) are able to help medical professionals detect diseases. This is based on medical data records from which the AI can draw conclusions about diseases. These conclusions are most accurate when the extraction of the data sets is directly linked to the processing.
10/02/2021There are key differences between men and women, yet medicine has been treating both sexes the same for decades. As a result, women may not always receive the most optimal care. While there is now a shift in mindset, previous findings and outdated thinking patterns are far too often still finding their way into digital health services and technologies.
04/02/2021Amid the coronavirus pandemic, capacity of intensive care units is a hot-button issue as this determines the number of severe COVID-19 cases hospitals can treat. The percentage of currently infected patients can deliver insights into the projected need for ICU beds down the road. The TH Köln developed a tool to help with this planning process.
01/02/2021Therapies need to be carried out with high reliability by trained personal. This will not change in the future. But maybe we will be able to let systems in the patient’s body do some of the work. Some approaches are already aiming to make implants more independent so they will be able to flexibly react to changes. Read more in our Topic of the Month!
01/02/2021In theory, autonomous medical technologies can be used in a diagnostic or therapeutic capacity inside the body under certain conditions. This may not sound like a new invention at first. After all, implantable cardioverter-defibrillators have monitored and fixed abnormal heart rhythm for many years.
11/01/2021Today, managing one's own chronic disease is hardly possible without digital helpers – not least because of the corona pandemic. People with asthma also benefit from apps and wearables. They help patients connect better with doctors and better understand their own disease. Our Topic of the Month looks at why this is so important and what the digital services can do.
02/11/2020Hospitals are considered to be a primary route of disease transmission. That is why patient rooms, operating rooms, and waiting areas should be disinfected regularly and thoroughly - and not just during the coronavirus pandemic. At the virtual.MEDICA trade fair, ICA Traffic GmbH will showcase the HERO21 robot, a disinfection unit that uses UVC radiation.
22/10/2020Whether it is a routine surgery or a personalized surgical intervention that perhaps has never been done before: There is always a residual risk involved. That’s why hospitals monitor and supervise patient care before, during, and after surgery to be ready for immediate intervention if needed.
01/10/2020Scheduling, bed management, and menu ordering – today’s hospitals take advantage of a variety of digital services. In the worst-case scenario, each service requires a different interface to the central information system, marking a major barrier that holds back digitization. With ConnectedCare, BEWATEC shows there is a better way.
01/10/2020Every year, new technologies hit the market. They expand, update, and connect hospitals and healthcare facilities. But advancing digitization not only accelerates the speed of improvements, it also uncovers problem areas that must still be fixed.
01/10/2020Whether it's process automation, robotics in the OR and nursing areas, or the digitalization of patient records - in a smart hospital, everything comes together to form a connected hospital. Find out exactly how the Smart Hospital is being developed with the help of information platforms and projects in the Topic of the Month.
01/09/2020Diagnostics, biomedical research, screening active ingredient candidates - laboratories perform many functions and must be flexible. Growing and evolving healthcare demands mean labs have to process an increasing number of samples. Modern laboratory information management systems can already support high-throughput, but a smart laboratory environment can make things even more efficient.
01/09/2020There is likely no other branch of medicine where you can find as many high-tech devices as in modern laboratories. A major part of diagnostic and biomedical research is done here. A lot of individual steps in work processes need to be followed precisely to ensure the results’ quality. Also, a lot of data is generated here.
01/09/2020Laboratories have to analyze and interpret an ever-increasing number of samples for research and diagnostic services, generating lots of data in the process. At the same time, labs are required to produce quality results and operate with speed. Processes that could once be managed using laboratory notebooks and isolated systems must become smart in the future to improve lab efficiency.
24/08/2020For the annual MEDICA trade fair, companies from all over the world assemble in Düsseldorf. The Israel Export Institute has been a part of it for the last couple of years. They present medical devices and digital innovations from different Israeli companies at their joint booth.
10/08/2020This is how a conventional ultrasound scan works: patients lie down on a table next to the ultrasound machine. A doctor uses a probe to scan the part of the body in question, while he or she looks at the pictures on a monitor. In other words, the physician either focuses on his/her hand on the patient or the monitor. The Fraunhofer IGD wants to change this process as part of the "sonAR" project.
03/08/2020Patient monitoring systems in the ICU sound up to 700 alarms on average per patient per day, which boils down to one alarm every two minutes. An excessive number of them are false alarms. This generates vast amounts of data, which can make it difficult for doctors and nurses to identify the most critical alarms to manage. It also has a negative effect on the treatment of intensive care patients.
16/06/2020Karl Schwarzenbrunner is the head of the Education and Science Department at the German Ice Hockey Association, and also a speaker at the 8th MEDICA MEDICINE + SPORTS CONFERENCE 2020, which will take place this year on 18 and 19 November in Düsseldorf.
04/05/2020Surgical robots are transforming the operating room. They deliver many benefits but also present new challenges. That is why the efficient handling of robotic mechanisms must also be reflected in the respective training courses.
04/05/2020Robotic surgical systems are often used to perform minimally invasive procedures. The daVinci surgical system is still one of the market leaders and is especially well suited to perform prostatectomies, a surgical option for prostate cancer.
04/05/2020In the operating room, minimally invasive procedures are increasingly used. Robot-assisted systems are a great help for the surgeon. They support the surgeon and are extremely precise. Through innovative research approaches, robotic systems are constantly evolving.
04/05/2020More compact, more flexibility, and more precision - these are the main characteristics developers strive for as they advance robotic-assisted surgical systems for the operating room. Several technology providers have already shown how it’s done, including the makers of the popular daVinci Surgical System. Yet for robotic-assisted systems, the sky is the limit.
22/04/2020Wearables offer practical solutions for the flexible measurement of data. The sensor from cosinuss° is worn directly in the ear and offers a precise monitoring of vital parameters.
08/04/2020The University Hospital Bonn has recently introduced an ultrasound device that's small enough to fit in your coat pocket. It's ready to use once you have connected it to a tablet or smartphone. The portable system makes bedside physical exams possible. The device primarily benefits students as it allows them to combine basic knowledge and clinical application.
09/03/2020Treatment of a heart attack or stroke caused by vascular occlusion must be prompt to prevent further damage to vital tissue. Unfortunately, the actual treatment is often preceded by a lengthy catheter-based procedure where the cardiologist manually guides the catheter to the affected vessel. AI might perform this task in the future.
03/02/2020Coronary heart disease can come as a complete surprise and occur suddenly. Cardisiography was designed to lower the risk and make faster intervention possible. As a non-invasive heart screening test, cardisiography offers the possibility of early detection for heart diseases.
03/02/2020Chronic cardiovascular diseases are a growing burden worldwide. Most of them are diseases of civilization that spread, where lifestyle is improving or where it is good already. But the healthcare systems are not growing equally to keep up with this development. We can make up for this by making cardiological care smarter with eHealth and mHealth.