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?
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…
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…
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.
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…
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, for example those with Left Ventricular Assist Devices (LVADs).
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…
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…
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…
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…
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…
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.
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…
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…
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…
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…
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…
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…
The results of a large-scale study indicate that the introduction of an AI-powered solution by healthcare software company Radlogics into radiology workflow to analyze Chest-CT scans during the Covid-19 pandemic reduced report turnaround time by an average of 30 percent, which is equivalent to 7 minutes per case.
Researchers at TU Berlin and Charité – Universitätsmedizin Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI). Two further developments make this system unique: For the first time, morphological, molecular and histological data are integrated in a single analysis. Secondly, the system…
The Elisabeth-TweeSteden Hospital (ETZ) based in Tilburg and Waalwijk in the Netherlands is adopting a new digital training platform. It helps clinical staff optimize the use of its electronic patient dossier (EPD) system, Epic. The healthcare organization is rolling out Ancile Solutions’ uPerform platform after successful completion of an initial project in 2020. ETZ is a leading clinical…
Computer modelling to forecast Covid-19 mortality contains significant uncertainty in its predictions, according to an international study led by researchers at University College London (UCL) and Centrum Wiskunde & Informatica (CWI) in the Netherlands. Their article ‘The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code’ was published in Nature Computational…
AI-based vocal biomarker company Vocalis Health announced results of a clinical study conducted in collaboration with the Municipal Corporation of Greater Mumbai (MCGM) at their NESCO Covid-19 Center to validate Vocalis Health’s Covid-19 screening tool, VocalisCheck. The study included over 2,000 participants who spoke numerous languages including English, Hindi, Marathi and Gujarati. Results…
Cardiovascular diseases are the most common cause of fatalities in Germany. Medical wearables which measure vital parameters such as the blood pressure, heart rate and blood oxygen levels in real time could help detect these diseases early, and treat them on a preventive basis. In daily life and during sports activities, in the form of fitness bracelets or smart watches, these small, portable…
Researchers in Oxford have developed a machine learning algorithm that could significantly improve clinicians’ ability to identify hospitalised patients whose condition is deteriorating to the extent that they need intensive care. The HAVEN system (Hospital-wide Alerting Via Electronic Noticeboard) was developed as part of a collaboration between the University of Oxford’s Institute of…