Since 2015, the number of known ransomware attacks has not only increased substantially across many industries. Hospitals, and the healthcare industry in general, have also become favorite targets of ransomware attackers, leading to very real incidents in which patient care and patients’ lives have been put at risk.
The role of Artificial Intelligence (AI) is one of the most divisive issues in cardiology. Two leading experts argue the pros and cons of its use, exploring its benefits and advantages to cardiac care, as well as highlighting the pitfalls and shortcomings of AI, while underlining the need for clear guidelines and regulations for its use going forward.
IT networks of hospitals and other healthcare institutions are currently very much in the focus of both hackers and IT security specialists. In a healthcare landscape in which both organizational and medical heavily rely on IT, keeping networks safe is key to protecting patients’ data and lives.
Scientists use super-resolution microscopy to study previously undiscovered cellular worlds, revealing nanometer-scale details inside cells. This method revolutionized light microscopy and earned its inventors the 2014 Nobel Prize in Chemistry. In an international collaboration, AI researchers from Tübingen have now developed an algorithm that significantly accelerates this technology.
Although artificial intelligence (AI) tools and smartphone apps that help identify suspicious moles and potential skin cancers are starting to proliferate, dermatology informatics has far to go before becoming a clinically adoptable technology. Many challenges need to be resolved, not least of which is the need for more image data representing people of colour.
Artificial intelligence (AI) can be used to give stroke patients a personalised and more accurate risk for suffering a recurrence, according to a new study presented at the European Stroke Organisation (ESO) Conference. Experts believe the study will help to identify the most important factors for preventing stroke recurrence and has the potential to help prevent many thousands of strokes a year…
Patient-oriented innovations and cases of the processes digitalization are presented at the Healthcare Automation and Digitalization Congress 2021 (AUTOMA+ Healthcare Edition 2021). The Congress takes place online, at BGS Online Platform on September, 27-28, 2021, and gathers hospitals, healthcare providers, and pharmaceutical companies to network and share solutions regarding the personalized…
Artificial Intelligence and Big Data in cardiovascular risk reduction and cardiac rehabilitation are offering new opportunities for increased diagnostic accuracy and more personalised exercise prescription. Experts believe it can be harnessed to design tools to enable cardiologists to make better decisions, and have more confidence in the decision-making process. The topic was featured at ESC…
Could machine learning (ML) help to predict sudden cardiac death (SCD)? According to Dr Sanjiv Narayan, Professor of Medicine at Stanford University, California, many exciting studies are using ML to predict sudden death in ways not previously possible. ‘Complex data, such as MRI geometry, very large electronic health records or continuous data streams from wearables, are difficult to probe…
Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that diseases can be detected at a very early stage based on subtle changes. However, implanting AI within the human body is still a major technical challenge. TU Dresden scientists at the Chair of…
Some people change the narrative about technology and society. One of them is Nuria Oliver, Chief Data Scientist at Data-Pop Alliance, Chief Scientific Advisor at the Vodafone Institute, and Co-founder and Vice-president of the European Laboratory for Learning and Intelligent Systems (ELLIS). In an interview with HiE, she explains how she develops computational tools and uses artificial…
Cancer patients’ medical records can often comprise up to 100 terabytes of individual — and usually very heterogeneous — data, including blood and tumor values, personal indicators, sequencing and treatment data, and much more besides. Up to now, it has been virtually impossible to use this wealth of information efficiently due to a lack of appropriate processing mechanisms. As a result,…
Siemens Healthineers presents its second pathway for its AI-Pathway Companion at the Healthcare Information and Management Systems Society Global Health Conference 2021 (HIMSS 21). This new pathway is focused on non-small cell lung cancer, supporting personalized and standardized decision-making along the whole treatment process.
Healthcare software company Dedalus announced its strategic partnership in North America with Rx.Health, an AI-based digital health unification and clinical intelligence platform. The partnership will enable collaboration between Dedalus’ solution, Digital Connect for Health (DC4H) with Rx.Health’s platform that unifies and automates digital health through an EHR connected formulary and 250+…
In 2021, health data remains an untapped opportunity; we continue to fall foul of ‘digital silos' and operating systems that are both exposed to security threats and aren't optimised to unleash the potential of data driven healthcare.
A new blockchain-based data analysis app aims to drive collaboration and insights across clinical trials. The tool, developed by software company Clintex, is designed to boost trial efficiency, help drive down the cost of new medicines and expediting their delivery to patients.
A research team at Universitat Autònoma de Barcelona (UAB), in collaboration with the Hospital de Mataró, developed a new machine learning-based model that predicts the risk of mortality of intensive care unit patients according to their characteristics. The research was published in the latest edition of the journal Artificial Intelligence in Medicine, with a special mention as a…
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 collaboration solution on the Siemens Healthineers teamplay digital health platform. Rolling out first in North America, the teamplay collaboration solution will enable Siemens Healthineers and its many…
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 arrives. The Blue Jay Aeden is said to be the first interactive drone in the world that can transmit emotions and can fulfil an important function in saving people's lives.
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 and predict the outcome of stroke victims. When blood flow to the brain is somehow reduced or restricted, a person can suffer what we know as a stroke (from “ischemic stroke” in medical jargon).…
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, particularly in low- and middle-income countries. Academics from the London Centre for Nanotechnology at UCL and AHRI used deep learning (artificial intelligence/AI) algorithms to improve health workers’…
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, and use, according to new WHO guidance.
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. German experts discussed the gender problem in healthcare AI at virtual.MEDICA 2020.
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 sound sources. In a feasibility study, researchers from the Hearing Research Laboratory at the University of Bern and the Inselspital are now suggesting that artificial intelligence (AI) could solve…
An in-depth analysis of more than 20,000 health related mobile applications (mhealth apps) finds “serious problems with privacy and inconsistent privacy practices.”